Evan DeVallance

1.3k citations
43 papers · 937 · h-index 17

Impact in

Papers in

Evan DeVallance

41 papers receiving 930 citations

Peers

Evan DeVallance
Comparison fields: 5 of 87
  • Physiology 328
  • Cardiology and Cardiovascular Medicine 210
  • Complementary and alternative medicine 83
  • Behavioral Neuroscience 23
  • Biological Psychiatry 10
Replace Marie-Adeline Marqués with:
Marie-Adeline Marqués France
Deepmala Agarwal United States
Warren E. Lockette United States
Donna B. Tate United States
Yvonne Heinen Germany
Kazuhiro Hongyo Japan
Maria Cristina O. Salgado Brazil
Hyun Kyo Lim South Korea
Lena Strindberg Sweden
Victor V. Lima Brazil
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Citations per field
00.5×2×2.9×
Marie-Adeline Marqués · 1×
Citations per year

Countries citing papers authored by Evan DeVallance

Since Specialization
Citations

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

Fields of papers citing papers by Evan DeVallance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017140
2 201492
3 201975
4 202261
5 201944
6 201942
7 201940
8 201536
9 201433
10 201831
11 201931
12 202130
13 201427
14 201625
15 201724
16 201824
17 202318
18 202215
19 202114
20 202214

About Evan DeVallance

Evan DeVallance is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Nephrology, Obstetrics and Gynecology and Complementary and alternative medicine, having authored 43 papers that have together received 937 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (14 papers), Cardiovascular Health and Disease Prevention (12 papers), Gout, Hyperuricemia, Uric Acid (5 papers), Cardiovascular and exercise physiology (4 papers), Cardiovascular Disease and Adiposity (4 papers), Nanoparticles: synthesis and applications (4 papers), Pregnancy and preeclampsia studies (4 papers) and Redox biology and oxidative stress (3 papers). The work is most often cited by research in Physiology (328 citations), Cardiology and Cardiovascular Medicine (210 citations), Complementary and alternative medicine (83 citations), Behavioral Neuroscience (23 citations) and Biological Psychiatry (10 citations). Evan DeVallance has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Paul David Chantler, Ivan Mark Olfert, Jefferson C. Frisbee, Patrick J. Pagano, Yao Li, Eugenia Cifuentes-Pagano, Sara Fournier, David Donley, Kayla Branyan and Daniel Bonner. Their work appears in journals such as Redox Biology, The FASEB Journal, Medicine & Science in Sports & Exercise, Free Radical Biology and Medicine and American Journal of Physiology-Heart and Circulatory 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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