Chris Cheadle

6.6k citations
71 papers · 4.4k indexed · 1 hit paper · h-index 33

Impact in

  • Nephrology top 1%
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes
  • Immunology top 5%

Papers in

Chris Cheadle

71 papers receiving 4.3k citations

Hit Papers

Analysis of Microarray Data Using Z Score Transformation 2003 · 855 citations
8552003202620102018250500750

Peers

Chris Cheadle
Comparison fields: 5 of 175
  • Nephrology 539
  • Immunology 774
  • Cancer Research 519
  • Molecular Biology 1.9k
  • Oncology 631
Replace Alan S.L. Yu with:
Alan S.L. Yu United States
Wenjun Ju United States
Kenichi Sawada Japan
Donald Fraser United Kingdom
Antonia Vlahou Greece
Min Zhang China
Rahul C. Deo United States
Ruben M. Sandoval United States
Michael Kasper Germany
Jihwan Park South Korea
Chris Cheadle relative to Alan S.L. Yu United States Alan S.L. Yu's profile →
Citations per field
00.5×2.8×
Alan S.L. Yu · 1×
Citations per year

Countries citing papers authored by Chris Cheadle

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Chris Cheadle Line = papers co-authored together Chris Cheadle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20223
2 2016133
3 201666
4 201614
5 2015196
6 201526
7 201518
8 201536
9 201323
10 201253
11 201213
12 201169
13 201025
14 201021
15 201070
16 201047
17 200828
18 2007169
19 200226
20 200026

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.

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2026