肿瘤细胞治疗研究
英文原题：Bibliometric analysis of global research hotspots in ovarian cancer immunotherapy from 2014 to 2024 using CiteSpace.
美国（n = 1,076）成为该领域的主要贡献者，德克萨斯大学系统（n = 131）是最高产的机构。
文献计量分析已被用于系统评估过去十年（2014-2024）卵巢癌免疫治疗的研究格局和新兴趋势。使用 Web of Science 核心合集（2014-2024）对 3,100 篇关于卵巢恶性肿瘤免疫治疗干预的出版物（包括综述和论著）进行了文献计量分析。通过 CiteSpace 软件系统考察了时间发表趋势、机构合作网络和新兴研究焦点。初步共识别出 3,381 篇关于卵巢癌免疫治疗的文章，其中 3,100 条记录符合纳入标准并进入最终分析。美国（n = 1,076）成为该领域的主要贡献者，University of Texas System（n = 131）是最高产机构。在个人研究者中，Odunsi, Kunle（n = 32）是发表最多的作者。被引次数最多的参考文献是 Matulonis UA（2019），被引 235 次。共被引聚类分析揭示了七个主要研究主题：expression、parp inhibitors、cancer immunotherapy、endometrial cancer、ovarian cancer、tumor associated antigens、chimeric antigen receptor。Parp inhibitors、tumor-associated antigens 和基于 CAR 的疗法构成了卵巢癌研究的关键主题。关键词突现检测识别出新兴焦点：dendritic cell、adoptive cell transfer 和 regulatory T cell。这些方法为对抗卵巢癌的 TME 特征带来了希望，从而能够增强治疗效果。著名大学和发达国家形成了卵巢癌免疫治疗研究的最佳联盟。识别出三个核心研究集群：基于树突状细胞的疗法、过继性免疫疗法和TIL（肿瘤浸润淋巴细胞）应用。这些发现勾勒出该领域不断演变的轨迹，并为未来研究提供了战略方向，强调转化潜力和多学科整合。
Bibliometric analysis has been employed to systematically evaluate the research landscape and emerging trends in ovarian cancer immunotherapy over the past decade (2014-2024). A bibliometric analysis of 3,100 publications (including reviews articles and articles) on immunotherapeutic interventions for ovarian malignancies was conducted using the Web of Science Core Collection (2014-2024). Temporal publication trends, institutional collaboration networks, and emerging research foci were systematically examined via CiteSpace software. A total of 3381 articles on ovarian cancer immunotherapy were initially identified, with 3100 records meeting the inclusion criteria for final analysis. The United States ( n = 1,076) to become the major contributors of this field, with the University of Texas System ( n = 131) being the most prolific institution. Among individual researchers, Odunsi, Kunle ( n = 32) were the most extensively published authors. The most frequently cited reference was Matulonis UA (2019), with 235 citations. Co-citation cluster analysis revealed seven major research themes: expression, parp inhibitors, cancer immunotherapy, endometrial cancer, ovarian cancer, tumor associated antigens, chimeric antigen receptor. Parp inhibitors, tumor-associated antigens, and CAR-based therapies constituting critical themes for ovarian cancer research. Keyword burst detection identified emerging foci: dendritic cell, adoptive cell transfer, and regulatory T cell. These approaches offer promise for countering the TME characteristic of ovarian cancer, thereby enabling enhanced therapeutic efficacy. Prominent universities and developed nations form the finest alliances for research on immunotherapy for ovarian cancer. Three core research clusters are identified: dendritic cell-based therapies, adoptive immunotherapy, and tumor-infiltrating lymphocyte applications. These findings delineate the field's evolving trajectory and offer strategic directions for future investigations, emphasizing translational potential and multidisciplinary integration.
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