Daqian He
Impact in
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- 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
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- Animal Nutrition and Physiology 11
- Meat and Animal Product Quality 2
- Co-authors
- Atsushi Tsukamoto (1 shared paper)Naoshige Uchida (1 shared paper)Irving L. Weissman (1 shared paper)Annabelle M. Friera (1 shared paper)Roland Scollay (1 shared paper)Huiying Wang (13 shared papers)Simon Clare (1 shared paper)Yong Yu (1 shared paper)
- Journals
- British Poultry Science (3 papers)Poultry Science (2 papers)Frontiers in Veterinary Science (2 papers)Biochemical Genetics (2 papers)Gene (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Daqian He
30 papers receiving 392 citations
Peers
Comparison fields: 5 of 69
- Immunology 181
- Hematology 82
- Animal Science and Zoology 57
- 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 | 129 | |
| 2 | 1998 | 115 | |
| 3 | 2008 | 29 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 10 | |
| 6 | 2023 | 9 | |
| 7 | 2009 | 9 | |
| 8 | 2021 | 9 | |
| 9 | 2017 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2013 | 7 | |
| 13 | 2013 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2010 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2017 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2014 | 2 |
About Daqian He
Daqian He is a scholar working on Animal Science and Zoology, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Epidemiology, having authored 30 papers that have together received 403 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (11 papers), Genetic and phenotypic traits in livestock (6 papers), Genetic diversity and population structure (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Hypothalamic control of reproductive hormones (2 papers), Meat and Animal Product Quality (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Immunology (181 citations), Hematology (82 citations), Animal Science and Zoology (57 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 Atsushi Tsukamoto, Naoshige Uchida, Irving L. Weissman, Annabelle M. Friera, Roland Scollay, Huiying Wang, Simon Clare, Yong Yu, Shannon Burke and Pentao Liu. Their work appears in journals such as British Poultry Science, Poultry Science, Frontiers in Veterinary Science, Biochemical Genetics and Gene.
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.