Jonathan Witonsky

7 papers receiving 477 citations

Jonathan Witonsky's Hit Papers

Implications of Race Adjustment in Lung-Function Equations 2024 · 39 citations
390+1+3Years since publication100200300

Peers

Jonathan Witonsky
Comparison fields: 5 of 79
  • Health Informatics 10
  • Genetics 93
  • Nephrology 16
  • Public Health, Environmental and Occupational Health 55
  • Transplantation 5
Replace Jennifer R. Elhawary with:
Jennifer R. Elhawary United States
Casey Jo Humbyrd United States
Daniel G. Fernández‐Ávila Colombia
Sheela Upadhyaya United Kingdom
Neema Acharya India
Divya Gupta United States
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R. Kurup Australia
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Jonathan Witonsky relative to Jennifer R. Elhawary United States Jennifer R. Elhawary's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jonathan Witonsky

Since Specialization
Citations

This map shows the geographic impact of Jonathan Witonsky'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 Jonathan Witonsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Witonsky more than expected).

Fields of papers citing papers by Jonathan Witonsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Witonsky. 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 Jonathan Witonsky. The network helps show where Jonathan Witonsky may publish in the future.

Co-authors

The 25 scholars most cited alongside Jonathan Witonsky, 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 Jonathan Witonsky Line = papers co-authored together Jonathan Witonsky links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Race and Genetic Ancestry in Medicine — A Time for Reckoning with Racism
Hit paper breakdown →
2021384
2
Implications of Race Adjustment in Lung-Function Equations
Hit paper breakdown →
202439
3 202120
4 201818
5 202112
6 20228
7 20113
8 20121
9 20260
10 20230
11 20250

About Jonathan Witonsky

Jonathan Witonsky is a scholar working on Physiology, Surgery, Molecular Biology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 485 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (3 papers), Climate Change and Health Impacts (1 paper), Food Allergy and Anaphylaxis Research (1 paper), Air Quality and Health Impacts (1 paper), Genetically Modified Organisms Research (1 paper), BRCA gene mutations in cancer (1 paper), Ethics in Clinical Research (1 paper) and Noise Effects and Management (1 paper). The work is most often cited by research in Health Informatics (10 citations), Genetics (93 citations), Nephrology (16 citations), Public Health, Environmental and Occupational Health (55 citations) and Transplantation (5 citations). Jonathan Witonsky has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Jennifer R. Elhawary, Esteban G. Burchard, Luisa N. Borrell, José Rodríguez‐Santana, Michael A. LeNoir, Rick A. Kittles, David S. Wilkes, Neil R. Powe, Alan H.B. Wu and Elena Fuentes‐Afflick. Their work appears in journals such as New England Journal of Medicine, Obstetrical & Gynecological Survey, Journal of Clinical Investigation, CHEST Journal and The Journal of Allergy and Clinical Immunology In Practice.

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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