Kai Cao
Impact in
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 63
- Immune Cell Function and Interaction 36
- T-cell and B-cell Immunology 25
- Immunotherapy and Immune Responses 12
- Immune cells in cancer 11
- Co-authors
- Philippe Sucosky (6 shared papers)Yufang Shi (8 shared papers)Ying Wang (8 shared papers)Jill A. Hollenbach (6 shared papers)Nancy L. Reinsmoen (10 shared papers)Chih‐Hung Lai (12 shared papers)Ashley Vo (7 shared papers)Stanley C. Jordan (8 shared papers)
- Journals
- Human Immunology (9 papers)Blood (8 papers)Cell Death and Differentiation (5 papers)Transplantation (5 papers)Academic Radiology (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kai Cao
188 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 160
- Transplantation 724
- Immunology 1.8k
- Genetics 862
- Hematology 674
- Oncology 1.1k
Countries citing papers authored by Kai Cao
This map shows the geographic impact of Kai Cao'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 Kai Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Cao more than expected).
Fields of papers citing papers by Kai Cao
This network shows the impact of papers produced by Kai Cao. 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 Kai Cao. The network helps show where Kai Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Cao, 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 199 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 375 | |
| 2 | 2012 | 361 | |
| 3 | 2017 | 264 | |
| 4 | 2014 | 235 | |
| 5 | 2013 | 201 | |
| 6 | 2010 | 188 | |
| 7 | 2010 | 174 | |
| 8 | 2017 | 166 | |
| 9 | 2004 | 150 | |
| 10 | 2019 | 145 | |
| 11 | 2014 | 141 | |
| 12 | 2015 | 130 | |
| 13 | 2016 | 119 | |
| 14 | 2008 | 115 | |
| 15 | 2010 | 108 | |
| 16 | 2020 | 101 | |
| 17 | 2013 | 98 | |
| 18 | 2015 | 96 | |
| 19 | 2016 | 93 | |
| 20 | 2011 | 78 |
About Kai Cao
Kai Cao is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Epidemiology, having authored 199 papers that have together received 6.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (36 papers), T-cell and B-cell Immunology (25 papers), Hematopoietic Stem Cell Transplantation (16 papers), Renal Transplantation Outcomes and Treatments (13 papers), Immunotherapy and Immune Responses (12 papers), Pancreatic and Hepatic Oncology Research (12 papers), Immune cells in cancer (11 papers) and Mesenchymal stem cell research (10 papers). The work is most often cited by research in Transplantation (724 citations), Immunology (1.8k citations), Genetics (862 citations), Hematology (674 citations) and Oncology (1.1k citations). Kai Cao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Philippe Sucosky, Yufang Shi, Ying Wang, Jill A. Hollenbach, Nancy L. Reinsmoen, Chih‐Hung Lai, Ashley Vo, Stanley C. Jordan, M. Chopek and Xuejiang Shi. Their work appears in journals such as Human Immunology, Blood, Cell Death and Differentiation, Transplantation and Academic Radiology.
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.