Haiqi Chen
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
-
- Reproductive Biology and Fertility
Papers in
-
- Single-cell and spatial transcriptomics 7
- Protein Hydrolysis and Bioactive Peptides 6
- Renal and related cancers 5
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- Sperm and Testicular Function 17
- Co-authors
- C. Yan Cheng (20 shared papers)Dolores D. Mruk (12 shared papers)Will M. Lee (7 shared papers)Wing‐Yee Lui (7 shared papers)Fei Chen (8 shared papers)Xiang Xiao (6 shared papers)Evan Z. Macosko (3 shared papers)Evan Murray (3 shared papers)
- Journals
- The Astrophysical Journal (5 papers)Endocrinology (4 papers)Scientific Reports (3 papers)Food Chemistry (2 papers)Food Research International (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Haiqi Chen
55 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Reproductive Medicine 402
- Public Health, Environmental and Occupational Health 225
- Molecular Biology 571
- Aging 12
- Biophysics 37
Countries citing papers authored by Haiqi Chen
This map shows the geographic impact of Haiqi Chen'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 Haiqi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiqi Chen more than expected).
Fields of papers citing papers by Haiqi Chen
This network shows the impact of papers produced by Haiqi Chen. 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 Haiqi Chen. The network helps show where Haiqi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiqi Chen, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 86 | |
| 2 | 2022 | 83 | |
| 3 | 2019 | 78 | |
| 4 | 2015 | 68 | |
| 5 | 2022 | 50 | |
| 6 | 2017 | 50 | |
| 7 | 2023 | 45 | |
| 8 | 2016 | 44 | |
| 9 | 2017 | 42 | |
| 10 | 2017 | 41 | |
| 11 | 2016 | 41 | |
| 12 | 2017 | 41 | |
| 13 | 2017 | 39 | |
| 14 | 2017 | 33 | |
| 15 | 2023 | 32 | |
| 16 | 2016 | 31 | |
| 17 | 2019 | 29 | |
| 18 | 2018 | 26 | |
| 19 | 2016 | 24 | |
| 20 | 2024 | 24 |
About Haiqi Chen
Haiqi Chen is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Astronomy and Astrophysics and Food Science, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sperm and Testicular Function (17 papers), Reproductive Biology and Fertility (10 papers), Single-cell and spatial transcriptomics (7 papers), Protein Hydrolysis and Bioactive Peptides (6 papers), Renal and related cancers (5 papers), Stellar, planetary, and galactic studies (5 papers), Astro and Planetary Science (4 papers) and Advanced Glycation End Products research (4 papers). The work is most often cited by research in Reproductive Medicine (402 citations), Public Health, Environmental and Occupational Health (225 citations), Molecular Biology (571 citations), Aging (12 citations) and Biophysics (37 citations). Haiqi Chen has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include C. Yan Cheng, Dolores D. Mruk, Will M. Lee, Wing‐Yee Lui, Fei Chen, Xiang Xiao, Evan Z. Macosko, Evan Murray, Bruno Silvestrini and Ka‐Wai Mok. Their work appears in journals such as The Astrophysical Journal, Endocrinology, Scientific Reports, Food Chemistry and Food Research International.
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.