N. Chai
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
Papers in
-
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 4
-
- Protease and Inhibitor Mechanisms 3
- Co-authors
- Tripathi B. Rajavashisth (3 shared papers)Prediman K. Shah (3 shared papers)Stefan Jovinge (3 shared papers)Xiaoping Xu (2 shared papers)Gordon D. Wu (9 shared papers)Andrew S. Klein (6 shared papers)Stanley C. Jordan (7 shared papers)Irene Kim (4 shared papers)
- Journals
- Transplant Immunology (5 papers)Circulation (2 papers)The Journal of Heart and Lung Transplantation (2 papers)Transplantation (2 papers)Journal of the American College of Surgeons (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
N. Chai
19 papers receiving 846 citations
Peers
Comparison fields: 5 of 74
- Transplantation 87
- Cancer Research 260
- Immunology 197
- Immunology and Allergy 48
- Hematology 88
Countries citing papers authored by N. Chai
This map shows the geographic impact of N. Chai'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 N. Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Chai more than expected).
Fields of papers citing papers by N. Chai
This network shows the impact of papers produced by N. Chai. 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 N. Chai. The network helps show where N. Chai may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Chai, 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 | 1999 | 238 | |
| 2 | 1999 | 172 | |
| 3 | 2002 | 147 | |
| 4 | 2014 | 61 | |
| 5 | 1998 | 48 | |
| 6 | 2013 | 44 | |
| 7 | 1997 | 38 | |
| 8 | 2016 | 28 | |
| 9 | 2005 | 22 | |
| 10 | 2004 | 13 | |
| 11 | 2010 | 13 | |
| 12 | 2008 | 12 | |
| 13 | 2009 | 11 | |
| 14 | 2017 | 6 | |
| 15 | 2025 | 4 | |
| 16 | 2004 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2015 | 1 | |
| 19 | 2013 | 1 |
About N. Chai
N. Chai is a scholar working on Immunology, Cancer Research, Genetics, Molecular Biology and Genetics, having authored 19 papers that have together received 861 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (4 papers), Protease and Inhibitor Mechanisms (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Liver physiology and pathology (2 papers), Sperm and Testicular Function (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Transplantation (87 citations), Cancer Research (260 citations), Immunology (197 citations), Immunology and Allergy (48 citations) and Hematology (88 citations). N. Chai has collaborated with scholars based in United States and China. Frequent co-authors include Tripathi B. Rajavashisth, Prediman K. Shah, Stefan Jovinge, Xiaoping Xu, Gordon D. Wu, Andrew S. Klein, Stanley C. Jordan, Irene Kim, Michael C. Fishbein and Behrooz G. Sharifi. Their work appears in journals such as Transplant Immunology, Circulation, The Journal of Heart and Lung Transplantation, Transplantation and Journal of the American College of Surgeons.
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.