Shipan Dai
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Nutrition and Dietetics top 10%
- Infant Nutrition and Health
Papers in
-
- Connexins and lens biology 3
- Bacillus and Francisella bacterial research 3
- Heat shock proteins research 3
- Genetics 5
- Yersinia bacterium, plague, ectoparasites research 3
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Daoguo Zhou (5 shared papers)Larry S. Schlesinger (4 shared papers)Wendy Higashide (2 shared papers)David J. Hackam (5 shared papers)Maria Branca (4 shared papers)Ward M. Richardson (4 shared papers)Steven C. Gribar (4 shared papers)Murugesan V. S. Rajaram (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Cellular Microbiology (2 papers)American Journal of Physiology-Gastrointestinal and Liver Physiology (2 papers)Traffic (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- United States
In The Last Decade
Shipan Dai
14 papers receiving 587 citations
Peers
Comparison fields: 5 of 79
- Endocrinology 111
- Nutrition and Dietetics 109
- Immunology 122
- Food Science 98
- Infectious Diseases 81
Countries citing papers authored by Shipan Dai
This map shows the geographic impact of Shipan Dai'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 Shipan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shipan Dai more than expected).
Fields of papers citing papers by Shipan Dai
This network shows the impact of papers produced by Shipan Dai. 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 Shipan Dai. The network helps show where Shipan Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Shipan Dai, 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 | 2010 | 90 | |
| 2 | 2013 | 73 | |
| 3 | 2009 | 61 | |
| 4 | 2005 | 57 | |
| 5 | 2002 | 51 | |
| 6 | 2007 | 41 | |
| 7 | 2004 | 40 | |
| 8 | 2008 | 35 | |
| 9 | 2011 | 34 | |
| 10 | 2007 | 29 | |
| 11 | 2004 | 24 | |
| 12 | 2008 | 23 | |
| 13 | 2011 | 20 | |
| 14 | 2012 | 13 |
About Shipan Dai
Shipan Dai is a scholar working on Molecular Biology, Genetics, Endocrinology, Epidemiology and Immunology, having authored 14 papers that have together received 591 indexed citations. Recurring topics across this work include Connexins and lens biology (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Bacillus and Francisella bacterial research (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Immune Response and Inflammation (3 papers), Vibrio bacteria research studies (3 papers), Heat shock proteins research (3 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Endocrinology (111 citations), Nutrition and Dietetics (109 citations), Immunology (122 citations), Food Science (98 citations) and Infectious Diseases (81 citations). Shipan Dai has collaborated with scholars based in United States. Frequent co-authors include Daoguo Zhou, Larry S. Schlesinger, Wendy Higashide, David J. Hackam, Maria Branca, Ward M. Richardson, Steven C. Gribar, Murugesan V. S. Rajaram, Chhinder P. Sodhi and Heather M. Curry. Their work appears in journals such as Journal of Biological Chemistry, Cellular Microbiology, American Journal of Physiology-Gastrointestinal and Liver Physiology, Traffic and PLoS Pathogens.
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.