Daqian He
Impact in
-
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Animal Nutrition and Physiology 11
- Livestock and Poultry Management 2
- Genetics 11
- Genetic and phenotypic traits in livestock 5
- Animal Genetics and Reproduction 2
- Co-authors
- Naoshige Uchida (1 shared paper)Irving L. Weissman (1 shared paper)Atsushi Tsukamoto (1 shared paper)Roland G. Scollay (1 shared paper)Annabelle M. Friera (1 shared paper)Huiying Wang (13 shared papers)Shiyi Chen (4 shared papers)Liming Lu (1 shared paper)
- Journals
- British Poultry Science (3 papers)Poultry Science (2 papers)Biochemical Genetics (2 papers)Frontiers in Veterinary Science (2 papers)Molecular Biology Reports (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Daqian He
30 papers receiving 429 citations
Peers
Comparison fields: 5 of 71
- Immunology 183
- Hematology 78
- Animal Science and Zoology 65
- Genetics 33
- Genetics 73
Countries citing papers authored by Daqian He
This map shows the geographic impact of Daqian He'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 Daqian He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daqian He more than expected).
Fields of papers citing papers by Daqian He
This network shows the impact of papers produced by Daqian He. 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 Daqian He. The network helps show where Daqian He may publish in the future.
Co-authors
The 25 scholars most cited alongside Daqian He, 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 | 2015 | 135 | |
| 2 | 1998 | 121 | |
| 3 | 2008 | 31 | |
| 4 | 2022 | 24 | |
| 5 | 2022 | 11 | |
| 6 | 2023 | 11 | |
| 7 | 2009 | 11 | |
| 8 | 2017 | 10 | |
| 9 | 2023 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2013 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2013 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2010 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2017 | 3 |
About Daqian He
Daqian He is a scholar working on Animal Science and Zoology, Genetics, Molecular Biology, Microbiology and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 445 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (11 papers), Genetic and phenotypic traits in livestock (5 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Plant Reproductive Biology (2 papers), Livestock and Poultry Management (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Moringa oleifera research and applications (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Immunology (183 citations), Hematology (78 citations), Animal Science and Zoology (65 citations), Genetics (33 citations) and Genetics (73 citations). Daqian He has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Naoshige Uchida, Irving L. Weissman, Atsushi Tsukamoto, Roland G. Scollay, Annabelle M. Friera, Huiying Wang, Shiyi Chen, Liming Lu, Juexuan Wang and Cordelia Brandt. Their work appears in journals such as British Poultry Science, Poultry Science, Biochemical Genetics, Frontiers in Veterinary Science and Molecular Biology Reports.
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.