Beihua Kong
- Reproductive Medicine top 0.5%
- Ovarian cancer diagnosis and treatment 50
- Endometriosis Research and Treatment 13
- Obstetrics and Gynecology top 0.5%
- Endometrial and Cervical Cancer Treatments 29
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 8
- Immunology top 5%
- Reproductive System and Pregnancy 11
- Oncology top 5%
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- Cervical Cancer and HPV Research 9
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- RNA modifications and cancer 8
- Journals
- International Journal of Gynecological Cancer (7 papers)Gynecologic Oncology (7 papers)International Journal of Oncology (5 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Beihua Kong
116 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 106
- Reproductive Medicine 1.2k
- Obstetrics and Gynecology 796
- Cancer Research 685
- Immunology 487
- Oncology 611
Countries citing papers authored by Beihua Kong
This map shows the geographic impact of Beihua 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 Beihua Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beihua Kong more than expected).
Fields of papers citing papers by Beihua Kong
This network shows the impact of papers produced by Beihua 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 Beihua Kong. The network helps show where Beihua Kong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Beihua Kong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2018 | 66 | |
| 4 | 2018 | 34 | |
| 5 | 2017 | 16 | |
| 6 | 2017 | 19 | |
| 7 | 2017 | 22 | |
| 8 | 2016 | 21 | |
| 9 | 2015 | 38 | |
| 10 | 2014 | 16 | |
| 11 | 2013 | 2 | |
| 12 | 2013 | 23 | |
| 13 | 2013 | 39 | |
| 14 | 2013 | 45 | |
| 15 | 2011 | 13 | |
| 16 | 2010 | 70 | |
| 17 | 2009 | 23 | |
| 18 | 2007 | 33 | |
| 19 | [A case-control study on etiology of epithelial ovarian cancer in Shandong Province]. | 2006 | 5 |
| 20 | 2005 | 2 |
About Beihua Kong
Beihua Kong is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Cancer Research, having authored 121 papers that have together received 3.1k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (50 papers), Endometrial and Cervical Cancer Treatments (29 papers), Endometriosis Research and Treatment (13 papers), Cancer-related molecular mechanisms research (12 papers), Reproductive System and Pregnancy (11 papers), Cervical Cancer and HPV Research (9 papers), RNA modifications and cancer (8 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Reproductive Medicine (1.2k citations), Obstetrics and Gynecology (796 citations) and Cancer Research (685 citations). Beihua Kong has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Wenxin Zheng, Oluwole Fadare, Xiang Li, Xingsheng Yang, Ruifen Dong, Jie Jiang, Wenxin Zheng, Qifeng Yang, Tao Jiang and Xun Qu. Their work appears in journals such as International Journal of Gynecological Cancer, Gynecologic Oncology, International Journal of Oncology, Oncotarget and Journal of Hematology & Oncology.
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.