Jay Naik

44 papers receiving 980 citations

Peers

Jay Naik
Comparison fields: 5 of 80
  • Biochemistry 214
  • Complementary and alternative medicine 183
  • Endocrine and Autonomic Systems 130
  • Cardiology and Cardiovascular Medicine 318
  • Physiology 317
Replace Rainer U. Pliquett with:
Rainer U. Pliquett Germany
Michele E. Gold United States
Lennart Jungersten Sweden
Dan Ungureanu-Longrois France
Shigeo Godo Japan
Richard J. Rivers United States
J. M. Lash United States
Steven E. Whitesall United States
Vanhoutte Pm United States
Kotaro Kida United States
Jay Naik relative to Rainer U. Pliquett Germany Rainer U. Pliquett's profile →
Citations per field
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Rainer U. Pliquett · 1×
Citations per year

Countries citing papers authored by Jay Naik

Since Specialization
Citations

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

Fields of papers citing papers by Jay Naik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013105
2 200176
3 201675
4 199973
5 200456
6 201752
7 200351
8 200547
9 200344
10 200544
11 201131
12 200427
13 200725
14 201824
15 200221
16 201718
17 201518
18 200118
19 200217
20 200616

About Jay Naik

Jay Naik is a scholar working on Physiology, Molecular Biology, Biochemistry, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 48 papers that have together received 993 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (18 papers), Neuroscience of respiration and sleep (11 papers), Sulfur Compounds in Biology (10 papers), Ion Transport and Channel Regulation (8 papers), Eicosanoids and Hypertension Pharmacology (7 papers), Obstructive Sleep Apnea Research (6 papers), Cardiovascular and exercise physiology (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). The work is most often cited by research in Biochemistry (214 citations), Complementary and alternative medicine (183 citations), Endocrine and Autonomic Systems (130 citations), Cardiology and Cardiovascular Medicine (318 citations) and Physiology (317 citations). Jay Naik has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Benjimen R. Walker, Lusha Xiang, Robert L. Hester, Nancy L. Kanagy, Zoran Valić, John B. Buckwalter, Philip S. Clifford, Thomas C. Resta, Jessica M. Osmond and Laura V. González Bosc. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, The FASEB Journal, Journal of Applied Physiology, Microcirculation and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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