Jonathan Witonsky

7 papers receiving 441 citations

Jonathan Witonsky's Hit Papers

Race and Genetic Ancestry in Medicine — A Time for Reckoning with Racism 2021 · 355 citations
3550+1+3Years since publication100200300

Peers

Jonathan Witonsky
Comparison fields: 5 of 88
  • Health Informatics 10
  • Genetics 103
  • Nephrology 18
  • Physiology 65
  • Public Health, Environmental and Occupational Health 69
Replace Jennifer R. Elhawary with:
Jennifer R. Elhawary United States
Jukka Koskela Finland
Marjan Ghaemi Iran
Michelle B Leavy United States
Sheela Upadhyaya United Kingdom
Daniel G. Fernández‐Ávila Colombia
Leilei Pei China
Gi Hyeon Seo South Korea
Tormod Rogne Norway
Emily Vargas United States
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

8 of 8 papers shown
#Work
1
Race and Genetic Ancestry in Medicine — A Time for Reckoning with Racism
Hit paper breakdown →
2021355
2 202432
3 202119
4 201817
5 202112
6 20227
7 20113
8 20230

About Jonathan Witonsky

Jonathan Witonsky is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 8 papers that have together received 445 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (4 papers), Respiratory and Cough-Related Research (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Heart Rate Variability and Autonomic Control (1 paper), Pharmaceutical studies and practices (1 paper), Allergic Rhinitis and Sensitization (1 paper) and Child and Adolescent Health (1 paper). The work is most often cited by research in Health Informatics (10 citations), Genetics (103 citations), Nephrology (18 citations), Physiology (65 citations) and Public Health, Environmental and Occupational Health (69 citations). Jonathan Witonsky has collaborated with scholars based in United States. Frequent co-authors include Esteban G. Burchard, Luisa N. Borrell, Jennifer R. Elhawary, José Rodríguez‐Santana, Michael A. LeNoir, Elena Fuentes‐Afflick, Kirsten Bibbins‐Domingo, Nirav R. Bhakta, Noah Zaitlen and David S. Wilkes. Their work appears in journals such as New England Journal of Medicine, Journal of Asthma, CHEST Journal, Journal of Allergy and Clinical Immunology 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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