David Irwin

73 papers receiving 1.6k citations

Peers

David Irwin
Comparison fields: 5 of 106
  • Endocrine and Autonomic Systems 149
  • Genetics 209
  • Pulmonary and Respiratory Medicine 477
  • Hematology 129
  • Cancer Research 166
Replace Daiji Kawanami with:
Daiji Kawanami Japan
Rozenn Quarck Belgium
Ralph E. Whatley United States
Fahumiya Samad United States
Daniela Macconi Italy
Allison J. Janocha United States
Fabrice Antigny France
Yuexin Shan Canada
Mi Ra Yu South Korea
Kazuyuki Hida Japan
David Irwin relative to Daiji Kawanami Japan Daiji Kawanami's profile →
Citations per field
00.5×2.9×
Daiji Kawanami · 1×
Citations per year

Countries citing papers authored by David Irwin

Since Specialization
Citations

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

Fields of papers citing papers by David Irwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012140
2 201196
3 201286
4 201581
5 200970
6 201365
7 201965
8 200764
9 201461
10 201551
11 200446
12 201443
13 201241
14 201240
15 201839
16 201837
17 200635
18 201433
19 201332
20 200727

About David Irwin

David Irwin is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Molecular Biology, Genetics and Endocrine and Autonomic Systems, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include High Altitude and Hypoxia (22 papers), Pulmonary Hypertension Research and Treatments (16 papers), Hemoglobinopathies and Related Disorders (16 papers), Neuroscience of respiration and sleep (15 papers), Iron Metabolism and Disorders (9 papers), Heme Oxygenase-1 and Carbon Monoxide (9 papers), Hemoglobin structure and function (8 papers) and Cancer, Hypoxia, and Metabolism (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (149 citations), Genetics (209 citations), Pulmonary and Respiratory Medicine (477 citations), Hematology (129 citations) and Cancer Research (166 citations). David Irwin has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Kurt R. Stenmark, Eva Nozik‐Grayck, Karyn L. Hamilton, Paul W. Buehler, Julie W. Harral, Joe M. McCord, Christina Lisk, Martha C. Tissot van Patot, Susan M. Majka and Zoe Loomis. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Free Radical Biology and Medicine, High Altitude Medicine & Biology, Pulmonary Circulation and The FASEB Journal.

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.

Explore authors with similar magnitude of impact