Yujia Kong

407 total citations
19 papers, 278 citations indexed

About

Yujia Kong is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Yujia Kong has authored 19 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 6 papers in Pediatrics, Perinatology and Child Health and 6 papers in Obstetrics and Gynecology. Recurrent topics in Yujia Kong's work include Gestational Trophoblastic Disease Studies (8 papers), Prenatal Screening and Diagnostics (6 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Yujia Kong is often cited by papers focused on Gestational Trophoblastic Disease Studies (8 papers), Prenatal Screening and Diagnostics (6 papers) and Endometrial and Cervical Cancer Treatments (5 papers). Yujia Kong collaborates with scholars based in China and United Kingdom. Yujia Kong's co-authors include Yang Xiang, Liju Zong, Junjun Yang, Xirun Wan, Jun Zhao, Yu Gu, Hongyan Cheng, Xiaoyu Wang, Ming Wu and Tong Ren and has published in prestigious journals such as The Lancet Oncology, The Oncologist and Gynecologic Oncology.

In The Last Decade

Yujia Kong

18 papers receiving 277 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yujia Kong China 10 121 93 77 69 59 19 278
Avi Benshushan Israel 10 92 0.8× 58 0.6× 54 0.7× 68 1.0× 36 0.6× 23 283
Ignacio Cristóbal García Spain 9 83 0.7× 45 0.5× 37 0.5× 55 0.8× 115 1.9× 39 313
Michele Paudice Italy 9 38 0.3× 71 0.8× 31 0.4× 31 0.4× 91 1.5× 47 246
C Iavazzo Greece 10 41 0.3× 47 0.5× 46 0.6× 52 0.8× 159 2.7× 26 297
Gang Niu China 12 131 1.1× 29 0.3× 121 1.6× 29 0.4× 80 1.4× 19 358
F. Ghaemmaghami Iran 10 89 0.7× 186 2.0× 68 0.9× 71 1.0× 67 1.1× 23 353
Mandy Man Yee Chu Hong Kong 11 36 0.3× 43 0.5× 25 0.3× 46 0.7× 91 1.5× 26 307
Cristina Mitric Canada 10 30 0.2× 48 0.5× 30 0.4× 27 0.4× 125 2.1× 31 227
Savitri C. Ritoe Netherlands 9 33 0.3× 74 0.8× 101 1.3× 109 1.6× 41 0.7× 9 318
Richard Wing-Cheuk Wong China 10 23 0.2× 37 0.4× 27 0.4× 42 0.6× 125 2.1× 25 239

Countries citing papers authored by Yujia Kong

Since Specialization
Citations

This map shows the geographic impact of Yujia Kong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yujia Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujia Kong more than expected).

Fields of papers citing papers by Yujia Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yujia Kong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yujia Kong. The network helps show where Yujia Kong may publish in the future.

Co-authorship network of co-authors of Yujia Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Yujia Kong. A scholar is included among the top collaborators of Yujia Kong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yujia Kong. Yujia Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Wang, Aimin, et al.. (2024). Lipoproteins and metabolites in diagnosing and predicting Alzheimer’s disease using machine learning. Lipids in Health and Disease. 23(1). 152–152. 3 indexed citations
2.
Wang, Aimin, Yiming Huang, Qingxia Cui, et al.. (2024). Association between systemic inflammatory markers and all-cause mortality in patients with stroke: A prospective study using data from the UK Biobank. Journal of Stroke and Cerebrovascular Diseases. 33(12). 108076–108076. 2 indexed citations
3.
Zhao, Jiayuan, Yujia Kong, Yang Xiang, & Junjun Yang. (2023). The research landscape of the quality of life or psychological impact on gynecological cancer patients: A bibliometric analysis. Frontiers in Oncology. 13. 1115852–1115852. 8 indexed citations
4.
Kong, Yujia, Yuan Li, Xirun Wan, et al.. (2023). Pulmonary resection of residual lesions of pulmonary metastasis from gestational trophoblastic neoplasia. International Journal of Gynecological Cancer. 33(9). 1376–1382.
5.
Kong, Yujia, Weidi Wang, Xirun Wan, et al.. (2022). Management and Predictors of Treatment Failure in Patients with Chemo-Resistant/Relapsed Gestational Trophoblastic Neoplasia with Lung Metastasis. Journal of Clinical Medicine. 11(24). 7270–7270. 2 indexed citations
6.
Cheng, Hongyan, Liju Zong, Yujia Kong, et al.. (2021). Camrelizumab plus apatinib in patients with high-risk chemorefractory or relapsed gestational trophoblastic neoplasia (CAP 01): a single-arm, open-label, phase 2 trial. The Lancet Oncology. 22(11). 1609–1617. 60 indexed citations
7.
Zong, Liju, Yu Gu, Yujia Kong, et al.. (2021). Expression of B7 family checkpoint proteins in cervical cancer. Modern Pathology. 35(6). 786–793. 17 indexed citations
8.
9.
10.
Zong, Liju, Qianqian Zhang, Yujia Kong, et al.. (2020). Expression and Significance of Immune Checkpoints in Clear Cell Carcinoma of the Uterine Cervix. Journal of Immunology Research. 2020(1). 1283632–1283632. 23 indexed citations
11.
Cheng, Hongyan, Liju Zong, Yujia Kong, et al.. (2020). <p>Emerging Targets of Immunotherapy in Gynecologic Cancer</p>. OncoTargets and Therapy. Volume 13. 11869–11882. 5 indexed citations
12.
Kong, Yujia, Liju Zong, Hongyan Cheng, et al.. (2020). Management and risk factors of recurrent gestational trophoblastic neoplasia: An update from 2004 to 2017. Cancer Medicine. 9(7). 2590–2599. 20 indexed citations
13.
Zong, Liju, Qianqian Zhang, Yujia Kong, et al.. (2019). The tumor-stroma ratio is an independent predictor of survival in patients with 2018 FIGO stage IIIC squamous cell carcinoma of the cervix following primary radical surgery. Gynecologic Oncology. 156(3). 676–681. 24 indexed citations
14.
Cheng, Hongyan, et al.. (2019). Oncological Outcomes and Safety of Ovarian Preservation for Early Stage Adenocarcinoma of Cervix: A Systematic Review and Meta-Analysis. Frontiers in Oncology. 9. 777–777. 9 indexed citations
15.
Kong, Yujia, Guangshi Tao, Liju Zong, et al.. (2019). Diagnosis and Management of Mixed Gestational Trophoblastic Neoplasia: A Study of 16 Cases and a Review of the Literature. Frontiers in Oncology. 9. 1262–1262. 15 indexed citations
16.
Kong, Yujia, Liju Zong, Junjun Yang, Ming Wu, & Yang Xiang. (2019). <p>Cervical cancer in women aged 25 years or younger: a retrospective study</p>. Cancer Management and Research. Volume 11. 2051–2058. 26 indexed citations
17.
Zong, Liju, Junjun Yang, Xiaoyu Wang, et al.. (2018). Management and prognosis of patients with liver metastases from gestational trophoblastic neoplasia: a retrospective cohort study. Cancer Management and Research. Volume 10. 557–563. 11 indexed citations
18.
Kong, Yujia, Junjun Yang, Fang Jiang, et al.. (2017). Clinical characteristics and prognosis of ultra high-risk gestational trophoblastic neoplasia patients: A retrospective cohort study. Gynecologic Oncology. 146(1). 81–86. 30 indexed citations
19.
Arumugam, Kulenthran, Tahir A. Mahmood, & Yujia Kong. (1989). The Association of Anovulation and Endometriosis in the Infertile Female. Australian and New Zealand Journal of Obstetrics and Gynaecology. 29(3). 350–351. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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