Mark Matson

25 papers receiving 560 citations

Peers

Mark Matson
Comparison fields: 5 of 63
  • Transplantation 19
  • Surgery 230
  • Nephrology 36
  • Pulmonary and Respiratory Medicine 112
  • Genetics 93
Replace Stephen Caplan with:
Stephen Caplan Canada
Richard B. Stead United States
Alison Taylor United Kingdom
Amy M. Bertino United States
Hirayasu Kai Japan
J. Wilson-McManus Canada
Laurette Geldenhuys Canada
Junji Tomiyama Japan
Mark Matson relative to Stephen Caplan Canada Stephen Caplan's profile →
Citations per field
00.5×3.7×
Stephen Caplan · 1×
Citations per year

Countries citing papers authored by Mark Matson

Since Specialization
Citations

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

Fields of papers citing papers by Mark Matson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012202
2 1990155
3 201138
4 201133
5 198823
6 201623
7 201412
8 201912
9 201912
10 201110
11 20119
12
Abstract 10701: A Phase 1, Randomized, Double-Blind, Placebo-Controlled, Ascending Single Dose Study to Evaluate the Safety, Tolerability and Pharmacodynamics of AMG145
20118
13 20148
14 19886
15 20205
16 20195
17 20243
18 20123
19 20092
20 20132

About Mark Matson

Mark Matson is a scholar working on Transplantation, Neurology, Endocrinology, Diabetes and Metabolism, Dermatology and Physiology, having authored 25 papers that have together received 577 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Diabetes Treatment and Management (2 papers), Antifungal resistance and susceptibility (2 papers), Polyomavirus and related diseases (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Neurological and metabolic disorders (2 papers). The work is most often cited by research in Transplantation (19 citations), Surgery (230 citations), Nephrology (36 citations), Pulmonary and Respiratory Medicine (112 citations) and Genetics (93 citations). Mark Matson has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Eric P. Cohen, Blaire Cooke, Adam J. Shaywitz, Scott M. Wasserman, Bing Gao, Marc W. Retter, Karen Smirnakis, Clapton Dias, Brian P. Smith and Evan A. Stein. Their work appears in journals such as Journal of Clinical Oncology, Antiviral Research, Current Medical Research and Opinion, The Journal of Clinical Pharmacology and Human Vaccines & Immunotherapeutics.

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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