Daniel Nyhan

4.5k citations
94 papers · 3.4k · h-index 28

Impact in

Papers in

Daniel Nyhan

93 papers receiving 3.3k citations

Peers

Daniel Nyhan
Comparison fields: 5 of 121
  • Physiology 1.4k
  • Cardiology and Cardiovascular Medicine 941
  • Biochemistry 318
  • Endocrine and Autonomic Systems 237
  • Pulmonary and Respiratory Medicine 532
Replace Carlos F. Sánchez‐Ferrer with:
Carlos F. Sánchez‐Ferrer Spain
Jochen Steppan United States
Minoru Ohno Japan
Mark T. Kearney United Kingdom
Kensuke Noma Japan
Toru Aizawa Japan
An Huang United States
Katsuyuki Ando Japan
Youichi Abe Japan
Pawel M. Kaminski United States
Daniel Nyhan relative to Carlos F. Sánchez‐Ferrer Spain Carlos F. Sánchez‐Ferrer's profile →
Citations per field
00.5×3.5×
Carlos F. Sánchez‐Ferrer · 1×
Citations per year

Countries citing papers authored by Daniel Nyhan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nyhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003398
2 2009206
3 2011167
4 2007152
5 2005149
6 2006142
7 2008139
8 1989137
9 2006116
10 2010111
11 2001107
12 2000107
13 201495
14 200676
15 201171
16 201570
17 201368
18 201460
19 201359
20 200750

About Daniel Nyhan

Daniel Nyhan is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Surgery, having authored 94 papers that have together received 3.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (26 papers), Cardiovascular Health and Disease Prevention (17 papers), Neuroscience of respiration and sleep (14 papers), Pulmonary Hypertension Research and Treatments (13 papers), Heart Rate Variability and Autonomic Control (12 papers), Eicosanoids and Hypertension Pharmacology (10 papers), Respiratory Support and Mechanisms (7 papers) and Spaceflight effects on biology (7 papers). The work is most often cited by research in Physiology (1.4k citations), Cardiology and Cardiovascular Medicine (941 citations), Biochemistry (318 citations), Endocrine and Autonomic Systems (237 citations) and Pulmonary and Respiratory Medicine (532 citations). Daniel Nyhan has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Dan E. Berkowitz, Artin A. Shoukas, Jochen Steppan, Lakshmi Santhanam, Viachaslau Barodka, Sungwoo Ryoo, Joshua M. Hare, Hunter C. Champion, David W. Christianson and Paul A. Murray. Their work appears in journals such as Journal of Applied Physiology, American Journal of Physiology-Heart and Circulatory Physiology, Anesthesiology, Anesthesia & Analgesia and Circulation 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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