Daniel Nelson

36 papers receiving 1.8k citations

Peers

Daniel Nelson
Comparison fields: 5 of 102
  • Endocrine and Autonomic Systems 307
  • Physiology 581
  • Pulmonary and Respiratory Medicine 455
  • Cardiology and Cardiovascular Medicine 298
  • Biochemistry 96
Replace Michael B. Ganz with:
Michael B. Ganz United States
T Imai Japan
Dennis W. McGraw United States
Martin Traebert Switzerland
Derrick R. Arnelle United States
Giulia Baldini United States
Hiroaki Kume Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003350
2 1999213
3 1996161
4 2001123
5 198985
6 198979
7 199770
8 199766
9 200465
10 198063
11 200151
12 200247
13 200446
14 200641
15 199540
16 199833
17 199831
18 200030
19 200528
20 197927

About Daniel Nelson

Daniel Nelson is a scholar working on Physiology, Molecular Biology, Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 36 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (17 papers), Ion channel regulation and function (9 papers), Pulmonary Hypertension Research and Treatments (7 papers), Neuroscience of respiration and sleep (7 papers), Cardiac electrophysiology and arrhythmias (3 papers), Genomics and Chromatin Dynamics (3 papers), Hemoglobin structure and function (3 papers) and Cardiovascular Conditions and Treatments (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (307 citations), Physiology (581 citations), Pulmonary and Respiratory Medicine (455 citations), Cardiology and Cardiovascular Medicine (298 citations) and Biochemistry (96 citations). Daniel Nelson has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Ε. Kenneth Weir, Stephen L. Archer, Helen L. Reeve, Evangelos D. Michelakis, Zhigang Hong, Andrea Olschewski, Roger Chalkley, Linda Abetz, Timothy B. Edrington and Robin L. Chalmers. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Applied Physiology, Circulation, CHEST Journal and Nucleic Acids Research.

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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