David E. Millhorn

124 papers receiving 8.2k citations

Peers

David E. Millhorn
Comparison fields: 5 of 135
  • Endocrine and Autonomic Systems 3.4k
  • Cancer Research 1.4k
  • Cellular and Molecular Neuroscience 1.6k
  • Physiology 361
  • Physiology 1.5k
Replace José López‐Barneo with:
José López‐Barneo Spain
Nanduri R. Prabhakar United States
Douglas A. Bayliss United States
Sarah Elizabeth Ross United States
Sergey Kasparov United Kingdom
Seiji Shioda Japan
Hiroshi Kiyama Japan
Yu‐Qiang Ding China
Alexander V. Gourine United Kingdom
Nae J. Dun United States
David E. Millhorn relative to José López‐Barneo Spain José López‐Barneo's profile →
Citations per field
00.5×2×2.7×
José López‐Barneo · 1×
Citations per year

Countries citing papers authored by David E. Millhorn

Since Specialization
Citations

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

Fields of papers citing papers by David E. Millhorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003550
2 1985361
3 2000354
4 1981344
5 1987302
6 1994248
7 1994246
8 1980215
9 1980198
10 1995187
11 1992186
12 1986177
13 1990174
14 1991171
15 1992168
16 1999167
17 1987165
18 1999156
19 1989134
20 1996134

About David E. Millhorn

David E. Millhorn is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Cancer Research, Molecular Biology and Physiology, having authored 124 papers that have together received 8.5k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (61 papers), Cancer, Hypoxia, and Metabolism (25 papers), Neuroscience and Neuropharmacology Research (17 papers), Neuropeptides and Animal Physiology (17 papers), Mitochondrial Function and Pathology (14 papers), Respiratory Support and Mechanisms (13 papers), Ion channel regulation and function (11 papers) and Neuroendocrine regulation and behavior (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (3.4k citations), Cancer Research (1.4k citations), Cellular and Molecular Neuroscience (1.6k citations), Physiology (361 citations) and Physiology (1.5k citations). David E. Millhorn has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Frederic L. Eldridge, Tony G. Waldrop, Douglas A. Bayliss, Dana Beitner‐Johnson, Frederick L. Eldridge, Maria Czyzyk-Krzeska, Yong Yuan, Jeffery T. Erickson, Tsuneo Ferguson and George M. Hilliard. Their work appears in journals such as The Journal of Physiology, Journal of Biological Chemistry, Brain Research, Journal of Applied Physiology and Experimental Brain 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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