Jay P. Farber

81 papers receiving 1.1k citations

Peers

Jay P. Farber
Comparison fields: 5 of 98
  • Endocrine and Autonomic Systems 473
  • Anesthesiology and Pain Medicine 264
  • Neurology 145
  • Pharmacy 75
  • Physiology 360
Replace Mariann Fodor with:
Mariann Fodor Hungary
Edward J. Zuperku United States
A. Michael Anch United States
Mitsuhiko Miura Japan
J. Mitra United States
Steven M. Altschuler United States
B Duron France
Peter M. Lalley United States
Ken D. O’Halloran Ireland
Steven B. Backman Canada
Jay P. Farber relative to Mariann Fodor Hungary Mariann Fodor's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jay P. Farber

Since Specialization
Citations

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

Fields of papers citing papers by Jay P. Farber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay P. Farber. 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 Jay P. Farber. The network helps show where Jay P. Farber may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198162
2 196953
3 198351
4 201348
5
Developmental neurobiology of breathing
199143
6 200740
7 197039
8 200735
9 197434
10 200631
11 200829
12 197828
13 200927
14 198627
15 197224
16 197823
17 200423
18 201722
19 197222
20 201521

About Jay P. Farber

Jay P. Farber is a scholar working on Endocrine and Autonomic Systems, Physiology, Anesthesiology and Pain Medicine, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (48 papers), Pain Mechanisms and Treatments (17 papers), Pain Management and Treatment (16 papers), Heart Rate Variability and Autonomic Control (13 papers), Neuroendocrine regulation and behavior (11 papers), Sleep and Wakefulness Research (9 papers), Respiratory Support and Mechanisms (7 papers) and Migraine and Headache Studies (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (473 citations), Anesthesiology and Pain Medicine (264 citations), Neurology (145 citations), Pharmacy (75 citations) and Physiology (360 citations). Jay P. Farber has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Robert D. Foreman, Chao Qin, Bengt Linderoth, Chao Qin, Mingyuan Wu, Oommen P. Mathew, S.M. Tenney, Henry F. Krous, Gabriel G. Haddad and Hermann Rahn. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Brain Research, Journal of Applied Physiology, Autonomic Neuroscience and Neuromodulation Technology at the Neural Interface.

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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