Jan Eggermont

6.5k citations
120 papers · 5.6k · h-index 45

Impact in

Papers in

Jan Eggermont

117 papers receiving 5.5k citations

Peers

Jan Eggermont
Comparison fields: 5 of 146
  • Sensory Systems 586
  • Cellular and Molecular Neuroscience 1.5k
  • Molecular Biology 4.2k
  • Physiology 277
  • Cardiology and Cardiovascular Medicine 890
Replace Trevor J. Hallam with:
Trevor J. Hallam United Kingdom
Manuela Zaccolo United Kingdom
Francisco V. Sepúlveda Chile
Carmen Dessauer United States
Alan V. Smrcka United States
Danilo Guerini Switzerland
John K. Northup United States
Susan Treves Italy
Irene Schulz Germany
James Sinnett‐Smith United States
Jan Eggermont relative to Trevor J. Hallam United Kingdom Trevor J. Hallam's profile →
Citations per field
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Trevor J. Hallam · 1×
Citations per year

Countries citing papers authored by Jan Eggermont

Since Specialization
Citations

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

Fields of papers citing papers by Jan Eggermont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997338
2 2020229
3 2005223
4 2000188
5 1999171
6 2000158
7 1996153
8 1998147
9 1999133
10 1990130
11 1999126
12 2004115
13 1998112
14 198998
15 200197
16 199496
17 200589
18 199388
19 199983
20 201581

About Jan Eggermont

Jan Eggermont is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Cell Biology and Physiology, having authored 120 papers that have together received 5.6k indexed citations. Recurring topics across this work include Ion channel regulation and function (74 papers), Cardiac electrophysiology and arrhythmias (30 papers), Ion Transport and Channel Regulation (25 papers), Neuroscience and Neuropharmacology Research (19 papers), Polyamine Metabolism and Applications (8 papers), RNA and protein synthesis mechanisms (8 papers), Cellular transport and secretion (7 papers) and Caveolin-1 and cellular processes (7 papers). The work is most often cited by research in Sensory Systems (586 citations), Cellular and Molecular Neuroscience (1.5k citations), Molecular Biology (4.2k citations), Physiology (277 citations) and Cardiology and Cardiovascular Medicine (890 citations). Jan Eggermont has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Bernd Nilius, Thomas Voets, Guy Droogmans, Frank Wuytack, R. Casteels, Luc Raeymaekers, Gunnar Buyse, G. Droogmans, Dominique Trouet and Vangelis G. Manolopoulos. Their work appears in journals such as Biochemical Journal, Pflügers Archiv - European Journal of Physiology, American Journal of Physiology-Cell Physiology, The Journal of Physiology and Journal of Biological Chemistry.

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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