Malcolm Irving

6.4k citations
129 papers · 5.3k · h-index 42

Impact in

Papers in

Malcolm Irving

129 papers receiving 5.2k citations

Peers

Malcolm Irving
Comparison fields: 5 of 92
  • Cardiology and Cardiovascular Medicine 4k
  • Biophysics 485
  • Molecular Biology 1.9k
  • Cell Biology 343
  • Structural Biology 38
Replace Michael Alan Ferenczi with:
Michael Alan Ferenczi United Kingdom
Earl E. Homsher United States
E Eisenberg United States
Gabriella Piazzesi Italy
Vincenzo Lombardi Italy
Marco Linari Italy
Bernhard Brenner Germany
Richard J. Podolsky United States
Susan Lowey United States
Ronald J. Baskin United States
Malcolm Irving relative to Michael Alan Ferenczi United Kingdom Michael Alan Ferenczi's profile →
Citations per field
00.5×2×2.6×
Michael Alan Ferenczi · 1×
Citations per year

Countries citing papers authored by Malcolm Irving

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Irving

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015261
2 2007257
3 1999186
4 1992174
5 1995168
6 2004167
7 1998152
8 1998137
9 2017134
10 2002124
11 2014114
12 2016114
13 2020112
14 2016105
15 2000101
16 199598
17 200894
18 198792
19 200790
20 200087

About Malcolm Irving

Malcolm Irving is a scholar working on Cardiology and Cardiovascular Medicine, Biophysics, Molecular Biology, Complementary and alternative medicine and Cell Biology, having authored 129 papers that have together received 5.3k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (114 papers), Protein Structure and Dynamics (30 papers), Muscle Physiology and Disorders (18 papers), Advanced Fluorescence Microscopy Techniques (14 papers), Ion channel regulation and function (6 papers), Cardiovascular and exercise physiology (4 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4k citations), Biophysics (485 citations), Molecular Biology (1.9k citations), Cell Biology (343 citations) and Structural Biology (38 citations). Malcolm Irving has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Yin‐Biao Sun, Gabriella Piazzesi, Vincenzo Lombardi, Massimo Reconditi, Marco Linari, Elisabetta Brunello, Thomas Kampourakis, Luca Fusi, Theyencheri Narayanan and Michael Alan Ferenczi. Their work appears in journals such as Biophysical Journal, The Journal of Physiology, Nature, Proceedings of the National Academy of Sciences and The Journal of General Physiology.

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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