Matthew Kahn

1.2k citations
22 papers · 437 · h-index 12

Impact in

Papers in

Matthew Kahn

21 papers receiving 427 citations

Peers

Matthew Kahn
Comparison fields: 5 of 72
  • Cardiology and Cardiovascular Medicine 183
  • Endocrinology, Diabetes and Metabolism 120
  • Aging 6
  • Cancer Research 47
  • Physiology 78
Replace Oreste Arcucci with:
Oreste Arcucci Italy
Jessica Nigro United States
Wai Ping Alicia Chan Australia
Fenghe Du China
Toyohiko Yokoi Japan
Jianping Zeng China
A. Zervoudaki Greece
Shradha Rathi United States
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Kahn

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Kahn, 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 Matthew Kahn Line = papers co-authored together Matthew Kahn 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 201168
2 200964
3 201051
4 201443
5 201142
6 200942
7 201126
8
Morphologic structure of the pedal arch and its relationship to patency of crural vascular reconstruction.
198120
9 202216
10 200716
11 202116
12 202011
13 20248
14 20206
15 20102
16
Abstract 3671: Dietary-induced Obesity in Mice results in Metabolic and Vascular Insulin-like Growth Factor 1 Resistance
20081
17 20111
18 20211
19 20221
20 20211

About Matthew Kahn

Matthew Kahn is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 437 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (6 papers), Angiogenesis and VEGF in Cancer (4 papers), Cardiac pacing and defibrillation studies (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Frailty in Older Adults (3 papers) and Telemedicine and Telehealth Implementation (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (183 citations), Endocrinology, Diabetes and Metabolism (120 citations), Aging (6 citations), Cancer Research (47 citations) and Physiology (78 citations). Matthew Kahn has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Richard M. Cubbon, Stephen B. Wheatcroft, Mark T. Kearney, Adil Rajwani, Afroze Abbas, Helen Imrie, Matthew Gage, Hema Viswambharan, Piruthivi Sukumar and Peter J. Grant. Their work appears in journals such as Diabetes, Circulation, Heart, European Heart Journal and Endocrinology.

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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