Mark Soave

467 citations
17 papers · 303 · h-index 11

Impact in

Papers in

    • Receptor Mechanisms and Signaling 14
    • Glycosylation and Glycoproteins Research 2
    • Pharmacological Receptor Mechanisms and Effects 2
    • Advanced biosensing and bioanalysis techniques 2
    • Neuropeptides and Animal Physiology 5
    • Photoreceptor and optogenetics research 2

Mark Soave

17 papers receiving 296 citations

Peers

Mark Soave
Comparison fields: 5 of 57
  • Physiology 42
  • Cellular and Molecular Neuroscience 102
  • Molecular Biology 234
  • Radiology, Nuclear Medicine and Imaging 50
  • Hematology 18
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Austin N. Oleskie United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark Soave

Since Specialization
Citations

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

Fields of papers citing papers by Mark Soave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201960
2 201634
3 202129
4 201928
5 201928
6 202023
7 202120
8 202418
9 201915
10 202114
11 202112
12 201710
13 20218
14 20241
15 20191
16 20201
17 20191

About Mark Soave

Mark Soave is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 303 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Adenosine and Purinergic Signaling (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Neuropeptides and Animal Physiology (5 papers), Glycosylation and Glycoproteins Research (2 papers), Photoreceptor and optogenetics research (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Physiology (42 citations), Cellular and Molecular Neuroscience (102 citations), Molecular Biology (234 citations), Radiology, Nuclear Medicine and Imaging (50 citations) and Hematology (18 citations). Mark Soave has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Stephen J. Hill, Leigh A. Stoddart, Stephen J. Briddon, Jeanette Woolard, Barrie Kellam, Alastair Brown, Peter J. Scammells, Laura E. Kilpatrick, Raimond Heukers and Martine J. Smit. Their work appears in journals such as Pharmacology Research & Perspectives, FEBS Journal, Journal of Medicinal Chemistry, British Journal of Pharmacology and Thrombosis and Haemostasis.

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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