Bohan Lv
Impact in
- Reproductive Medicine top 10%
- Ovarian function and disorders
Papers in ⓘ
-
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 4
- Co-authors
- Guangjian Jiang (22 shared papers)Tian An (18 shared papers)Yanxiang Wu (13 shared papers)Juan Lian (9 shared papers)Tingye Wang (7 shared papers)Si‐Hua Gao (6 shared papers)Xiuyan Yang (7 shared papers)Lili Wei (4 shared papers)
- Journals
- BMC Pregnancy and Childbirth (3 papers)Scientific Reports (2 papers)Applied Microbiology and Biotechnology (2 papers)Frontiers in Pharmacology (2 papers)Heliyon (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bohan Lv
30 papers receiving 558 citations
Peers
Comparison fields: 5 of 103
- Biological Psychiatry 17
- Reproductive Medicine 57
- Cancer Research 81
- Physiology 122
- Complementary and alternative medicine 36
Countries citing papers authored by Bohan Lv
This map shows the geographic impact of Bohan Lv'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 Bohan Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bohan Lv more than expected).
Fields of papers citing papers by Bohan Lv
This network shows the impact of papers produced by Bohan Lv. 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 Bohan Lv. The network helps show where Bohan Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Bohan Lv, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 49 | |
| 2 | 2020 | 48 | |
| 3 | 2022 | 48 | |
| 4 | 2019 | 47 | |
| 5 | 2022 | 42 | |
| 6 | 2021 | 37 | |
| 7 | 2018 | 32 | |
| 8 | 2017 | 32 | |
| 9 | 2019 | 28 | |
| 10 | 2021 | 25 | |
| 11 | 2021 | 24 | |
| 12 | 2019 | 22 | |
| 13 | 2019 | 19 | |
| 14 | 2019 | 17 | |
| 15 | 2023 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2020 | 11 | |
| 18 | 2024 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2024 | 8 |
About Bohan Lv
Bohan Lv is a scholar working on Cancer Research, Biological Psychiatry, Obstetrics and Gynecology, Reproductive Medicine and Physiology, having authored 30 papers that have together received 562 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (5 papers), Gut microbiota and health (5 papers), Diet and metabolism studies (5 papers), MicroRNA in disease regulation (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Adipose Tissue and Metabolism (4 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Biological Psychiatry (17 citations), Reproductive Medicine (57 citations), Cancer Research (81 citations), Physiology (122 citations) and Complementary and alternative medicine (36 citations). Bohan Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guangjian Jiang, Tian An, Yanxiang Wu, Juan Lian, Tingye Wang, Si‐Hua Gao, Xiuyan Yang, Lili Wei, Ailing Chen and Xinqing Zhang. Their work appears in journals such as BMC Pregnancy and Childbirth, Scientific Reports, Applied Microbiology and Biotechnology, Frontiers in Pharmacology and Heliyon.
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.