Stephen J. Marsh

2.9k citations
45 papers · 2.5k · h-index 27

Impact in

Papers in

Stephen J. Marsh

45 papers receiving 2.4k citations

Peers

Stephen J. Marsh
Comparison fields: 5 of 102
  • Cellular and Molecular Neuroscience 1.5k
  • Sensory Systems 292
  • Physiology 127
  • Molecular Biology 1.9k
  • Cardiology and Cardiovascular Medicine 498
Replace Fe C. Abogadie with:
Fe C. Abogadie United Kingdom
Péter Enyedi Hungary
Dorte Strøbæk Denmark
John V. Walsh United States
Gábor Czirják Hungary
Joshua J. Singer United States
Thomas Kleppisch Germany
Ian Findlay France
Takahiro Iwamoto Japan
Luba Krapivinsky United States
Stephen J. Marsh relative to Fe C. Abogadie United Kingdom Fe C. Abogadie's profile →
Citations per field
00.5×1.5×
Fe C. Abogadie · 1×
Citations per year

Countries citing papers authored by Stephen J. Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Marsh. 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 Stephen J. Marsh. The network helps show where Stephen J. Marsh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987324
2 2003286
3 2002174
4 1986153
5 2005143
6 1989110
7 198799
8 199190
9 199386
10 200781
11 199278
12 200369
13 199666
14 199754
15 200744
16 200444
17 199344
18 201243
19 200641
20 199939

About Stephen J. Marsh

Stephen J. Marsh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Physiology and Astronomy and Astrophysics, having authored 45 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (31 papers), Neuroscience and Neuropharmacology Research (23 papers), Cardiac electrophysiology and arrhythmias (10 papers), Receptor Mechanisms and Signaling (9 papers), Nicotinic Acetylcholine Receptors Study (7 papers), Pain Mechanisms and Treatments (6 papers), Lightning and Electromagnetic Phenomena (5 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Sensory Systems (292 citations), Physiology (127 citations), Molecular Biology (1.9k citations) and Cardiology and Cardiovascular Medicine (498 citations). Stephen J. Marsh has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include David A. Brown, Catherine E. Stansfeld, Deirdre M. McCarthy, Rhonda Davey, Mohini Mistry, Jérôme Trouslard, Simon Hughes, Neil V. Marrion, Mona AlQatari and J. V. Halliwell. Their work appears in journals such as The Journal of Physiology, Journal of Geophysical Research Atmospheres, Journal of Neuroscience, Neuron and Neuroscience.

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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