Jayashree Narayanan

44 papers receiving 2.1k citations

Peers

Jayashree Narayanan
Comparison fields: 5 of 100
  • Biochemistry 1.0k
  • Endocrinology, Diabetes and Metabolism 468
  • Physiology 678
  • Pharmacology 216
  • Physiology 78
Replace Mong-Heng Wang with:
Mong-Heng Wang United States
H R Jacobson United States
Hon-Chi Lee United States
David L. Severson Canada
Sei‐itsu Murota Japan
Ronald L. Engerman United States
S. Nicosia Italy
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Citations per field
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Citations per year

Countries citing papers authored by Jayashree Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Jayashree Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000262
2 1994192
3 1996170
4 1998162
5 1997152
6 1996142
7 1997121
8 200877
9 199475
10 201656
11 200048
12 201946
13 201144
14 201441
15 200637
16 198637
17 201136
18 200436
19 199536
20 200932

About Jayashree Narayanan

Jayashree Narayanan is a scholar working on Radiology, Nuclear Medicine and Imaging, Biochemistry, Physiology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (16 papers), Effects of Radiation Exposure (15 papers), Nitric Oxide and Endothelin Effects (14 papers), Ultrasound and Hyperthermia Applications (6 papers), Radiation Therapy and Dosimetry (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Biochemistry (1.0k citations), Endocrinology, Diabetes and Metabolism (468 citations), Physiology (678 citations), Pharmacology (216 citations) and Physiology (78 citations). Jayashree Narayanan has collaborated with scholars based in United States and Switzerland. Frequent co-authors include David R. Harder, Debebe Gebremedhin, Andrew R. Lange, Richard J. Roman, Meetha Medhora, John R. Falck, Elizabeth R. Jacobs, Eric K. Birks, Nabil J. Alkayed and William B. Campbell. Their work appears in journals such as Health Physics, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Pharmacology and Experimental Therapeutics, Neuroscience 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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