Bin Guo
Impact in
- Reproductive Medicine top 5%
- Endometriosis Research and Treatment
- Ovarian function and disorders
- Periodontics top 5%
- Oral microbiology and periodontitis research
Papers in
- Immunology 36
- Reproductive System and Pregnancy 32
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- Endometriosis Research and Treatment 26
- Ovarian function and disorders 4
- Co-authors
- Zhan‐Peng Yue (46 shared papers)Zhan‐Qing Yang (34 shared papers)Bilal Haider Abbasi (1 shared paper)Hai‐Fan Yu (15 shared papers)Cuicui Duan (14 shared papers)Dangdang Li (17 shared papers)Yusi Wang (5 shared papers)Y Wang (9 shared papers)
- Journals
- Cell Biology International (5 papers)Cell Cycle (4 papers)Cell and Tissue Research (3 papers)Journal of Cellular Physiology (3 papers)Biology of Reproduction (3 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Bin Guo
67 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Reproductive Medicine 224
- Periodontics 73
- Obstetrics and Gynecology 123
- Immunology 303
- Molecular Biology 533
Countries citing papers authored by Bin Guo
This map shows the geographic impact of Bin Guo'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 Bin Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Guo more than expected).
Fields of papers citing papers by Bin Guo
This network shows the impact of papers produced by Bin Guo. 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 Bin Guo. The network helps show where Bin Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 217 | |
| 2 | 2016 | 65 | |
| 3 | 2014 | 63 | |
| 4 | 2013 | 62 | |
| 5 | 2016 | 48 | |
| 6 | 2021 | 45 | |
| 7 | 2022 | 44 | |
| 8 | 2022 | 40 | |
| 9 | 2012 | 35 | |
| 10 | 2022 | 32 | |
| 11 | 2019 | 30 | |
| 12 | 2014 | 29 | |
| 13 | 2018 | 29 | |
| 14 | 2021 | 28 | |
| 15 | 2019 | 26 | |
| 16 | 2013 | 24 | |
| 17 | 2019 | 22 | |
| 18 | 2017 | 21 | |
| 19 | 2019 | 18 | |
| 20 | 2017 | 18 |
About Bin Guo
Bin Guo is a scholar working on Immunology, Reproductive Medicine, Molecular Biology, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (32 papers), Endometriosis Research and Treatment (26 papers), Reproductive Biology and Fertility (9 papers), Osteoarthritis Treatment and Mechanisms (8 papers), Reproductive Physiology in Livestock (7 papers), Pregnancy and preeclampsia studies (6 papers), Gynecological conditions and treatments (5 papers) and Ovarian function and disorders (4 papers). The work is most often cited by research in Reproductive Medicine (224 citations), Periodontics (73 citations), Obstetrics and Gynecology (123 citations), Immunology (303 citations) and Molecular Biology (533 citations). Bin Guo has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Zhan‐Peng Yue, Zhan‐Qing Yang, Bilal Haider Abbasi, Hai‐Fan Yu, Cuicui Duan, Dangdang Li, Yusi Wang, Y Wang, Yue Jia and Min Fu. Their work appears in journals such as Cell Biology International, Cell Cycle, Cell and Tissue Research, Journal of Cellular Physiology and Biology of Reproduction.
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.