Chris Cheadle
Impact in
- Nephrology top 1%
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Immunology top 5%
Papers in
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- Renal Transplantation Outcomes and Treatments 4
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- Acute Kidney Injury Research 5
- Co-authors
- Kevin G. BeckerMarquis P. VawterWilliam J. FreedHamid RabbDmitry N. GrigoryevHeitham T. HassounYoon S. Cho‐ChungManchang Liu
- Journals
- Journal of Allergy and Clinical Immunology (6 papers)Human Molecular Genetics (3 papers)The Journal of Immunology (3 papers)Annals of the New York Academy of Sciences (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Chris Cheadle
71 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Nephrology 539
- Immunology 774
- Cancer Research 519
- Molecular Biology 1.9k
- Oncology 631
Countries citing papers authored by Chris Cheadle
This map shows the geographic impact of Chris Cheadle'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 Chris Cheadle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Cheadle more than expected).
Fields of papers citing papers by Chris Cheadle
This network shows the impact of papers produced by Chris Cheadle. 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 Chris Cheadle. The network helps show where Chris Cheadle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chris Cheadle, 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 | 2022 | 3 | |
| 2 | 2016 | 133 | |
| 3 | 2016 | 66 | |
| 4 | 2016 | 14 | |
| 5 | 2015 | 196 | |
| 6 | 2015 | 26 | |
| 7 | 2015 | 18 | |
| 8 | 2015 | 36 | |
| 9 | 2013 | 23 | |
| 10 | 2012 | 53 | |
| 11 | 2012 | 13 | |
| 12 | 2011 | 69 | |
| 13 | 2010 | 25 | |
| 14 | 2010 | 21 | |
| 15 | 2010 | 70 | |
| 16 | 2010 | 47 | |
| 17 | 2008 | 28 | |
| 18 | 2007 | 169 | |
| 19 | 2002 | 26 | |
| 20 | 2000 | 26 |
About Chris Cheadle
Chris Cheadle is a scholar working on Transplantation, Nephrology, Immunology, Molecular Biology and Immunology and Allergy, having authored 71 papers that have together received 4.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), Gene expression and cancer classification (8 papers), Genomics and Chromatin Dynamics (8 papers), Bioinformatics and Genomic Networks (6 papers), Acute Kidney Injury Research (5 papers), Molecular Biology Techniques and Applications (5 papers), Pulmonary Hypertension Research and Treatments (5 papers) and Renal Transplantation Outcomes and Treatments (4 papers). The work is most often cited by research in Nephrology (539 citations), Immunology (774 citations), Cancer Research (519 citations), Molecular Biology (1.9k citations) and Oncology (631 citations). Chris Cheadle has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Kevin G. Becker, Marquis P. Vawter, William J. Freed, Hamid Rabb, Dmitry N. Grigoryev, Heitham T. Hassoun, Yoon S. Cho‐Chung, Manchang Liu, Kathleen C. Barnes and Tonya Watkins. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Human Molecular Genetics, The Journal of Immunology, Annals of the New York Academy of Sciences and Proceedings of the National Academy of Sciences.
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.