Bingshan Li
Impact in
- Genetics top 1%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genetic Mapping and Diversity in Plants and Animals
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
Papers in
-
- Cancer Genomics and Diagnostics 19
- Co-authors
- Suzanne M. LealGonçalo R. AbecasisHushan YangRonald E. MyersDajiang J. LiuHyun Min KangXiaowei ZhanJinliang Xing
- Journals
- Bioinformatics (8 papers)PLoS Genetics (5 papers)Journal of Rare Earths (4 papers)Nature Communications (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Bingshan Li
96 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Genetics 1.6k
- Cancer Research 812
- Molecular Biology 1.8k
- Oncology 658
- Immunology 356
Countries citing papers authored by Bingshan Li
This map shows the geographic impact of Bingshan Li'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 Bingshan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingshan Li more than expected).
Fields of papers citing papers by Bingshan Li
This network shows the impact of papers produced by Bingshan Li. 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 Bingshan Li. The network helps show where Bingshan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingshan Li, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 29 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 26 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 32 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 3 | |
| 14 | 2020 | 30 | |
| 15 | 2020 | 3 | |
| 16 | 2020 | 67 | |
| 17 | 2019 | 5 | |
| 18 | 2019 | 84 | |
| 19 | 2018 | 56 | |
| 20 | 2012 | 72 |
About Bingshan Li
Bingshan Li is a scholar working on Cancer Research, Computational Mathematics, Genetics, General Materials Science and Health Informatics, having authored 98 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (27 papers), Cancer Genomics and Diagnostics (19 papers), Genomics and Rare Diseases (15 papers), Magnetic Properties of Alloys (9 papers), Epigenetics and DNA Methylation (9 papers), Bioinformatics and Genomic Networks (9 papers), Genomic variations and chromosomal abnormalities (8 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Genetics (1.6k citations), Cancer Research (812 citations), Molecular Biology (1.8k citations), Oncology (658 citations) and Immunology (356 citations). Bingshan Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Suzanne M. Leal, Gonçalo R. Abecasis, Hushan Yang, Ronald E. Myers, Dajiang J. Liu, Hyun Min Kang, Xiaowei Zhan, Jinliang Xing, Juan Palazzo and Youna Hu. Their work appears in journals such as Bioinformatics, PLoS Genetics, Journal of Rare Earths, Nature Communications and Cancer Research.
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.