Jacquelyn M. Smith

411 citations
22 papers · 307 · h-index 11

Impact in

Papers in

Jacquelyn M. Smith

21 papers receiving 297 citations

Peers

Jacquelyn M. Smith
Comparison fields: 5 of 58
  • Cardiology and Cardiovascular Medicine 121
  • Physiology 111
  • Biochemistry 27
  • Nutrition and Dietetics 36
  • Cellular and Molecular Neuroscience 40
Replace Janet M. Ledingham with:
Janet M. Ledingham New Zealand
Haruyo Hickey Australia
Yuichi Hattori Japan
Mais Absi United Kingdom
Jitka Žurmanová Czechia
Rosario Pardo Spain
Morio Kanno Japan
R. A. Cohen United States
Timea Beleznai United Kingdom
R M Engelman United States
Jacquelyn M. Smith relative to Janet M. Ledingham New Zealand Janet M. Ledingham's profile →
Citations per field
00.5×4.5×
Janet M. Ledingham · 1×
Citations per year

Countries citing papers authored by Jacquelyn M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jacquelyn M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacquelyn M. Smith. 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 Jacquelyn M. Smith. The network helps show where Jacquelyn M. Smith may publish in the future.

Co-authors

The 17 scholars most cited alongside Jacquelyn M. Smith, 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 Jacquelyn M. Smith Line = papers co-authored together Jacquelyn M. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199747
2 198535
3 199434
4 200329
5 198826
6 200122
7 199217
8 199716
9 199016
10 198911
11 199910
12 19928
13 20017
14 20076
15 20135
16 19914
17 19894
18 19833
19 19893
20 19932

About Jacquelyn M. Smith

Jacquelyn M. Smith is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Nutrition and Dietetics and Biochemistry, having authored 22 papers that have together received 307 indexed citations. Recurring topics across this work include Ion channel regulation and function (8 papers), Nitric Oxide and Endothelin Effects (6 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Ion Transport and Channel Regulation (4 papers), Fatty Acid Research and Health (3 papers), Vitamin K Research Studies (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (121 citations), Physiology (111 citations), Biochemistry (27 citations), Nutrition and Dietetics (36 citations) and Cellular and Molecular Neuroscience (40 citations). Jacquelyn M. Smith has collaborated with scholars based in United States, Netherlands and Thailand. Frequent co-authors include Allan Jones, Fred D. Romano, Dennis J. Paulson, Gordon M. Wahler, Mark T. Ziolo, S D Shukla, Joseph Post, Jacob D. Peuler, Brad R. Weeks and Richard M. DeBowes. Their work appears in journals such as Hypertension, Journal of Molecular and Cellular Cardiology, Molecular and Cellular Biochemistry, Experimental Biology and Medicine and Journal of Pharmacology and Experimental Therapeutics.

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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