Martin Ericsson

33 papers receiving 918 citations

Peers

Martin Ericsson
Comparison fields: 5 of 122
  • Endocrinology, Diabetes and Metabolism 294
  • Human-Computer Interaction 37
  • Cancer Research 84
  • Cardiology and Cardiovascular Medicine 120
  • Surgery 230
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Yasushi Takeya Japan
Sheila Cristina Ouriques Martins Brazil
Taben M. Hale United States
François Lüthi Switzerland
Roberto Padovani Italy
Dagmar l’Allemand Switzerland
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Hisako Yanagi Japan
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Countries citing papers authored by Martin Ericsson

Since Specialization
Citations

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

Fields of papers citing papers by Martin Ericsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975219
2 1983151
3 1975147
4 200298
5 198990
6 197851
7 200641
8 199837
9 199933
10 199629
11 198227
12 202017
13
Serum lipoproteins, apolipoproteins and intravenous fat tolerance in young athletes.
198216
14 198212
15 197910
16 20007
17
Serum lipoproteins and apolipoproteins A I and A II in male patients with peripheral arterial insufficiency.
19827
18 20037
19 19886
20 20205

About Martin Ericsson

Martin Ericsson is a scholar working on Surgery, Political Science and International Relations, Sociology and Political Science, Cardiology and Cardiovascular Medicine and Clinical Psychology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Eating Disorders and Behaviors (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Cancer, Lipids, and Metabolism (3 papers), Cardiovascular Function and Risk Factors (3 papers), Digital Games and Media (2 papers), Data Visualization and Analytics (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (294 citations), Human-Computer Interaction (37 citations), Cancer Research (84 citations), Cardiology and Cardiovascular Medicine (120 citations) and Surgery (230 citations). Martin Ericsson has collaborated with scholars based in Sweden, United States and Spain. Frequent co-authors include Lars A. Carlson, John P. Foreyt, Walker S. Carlos Poston, Erik Stålberg, Jürgen Linder, Vera Bril, Jing Chu, Stefan Stålberg, Sanjeev D. Nandedkar and Christopher K. Haddock. Their work appears in journals such as Upsala Journal of Medical Sciences, Scandinavian Journal of History, Atherosclerosis, International Journal of Eating Disorders and Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity.

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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