Stefan Hettwer

50 papers receiving 1.6k citations

Peers

Stefan Hettwer
Comparison fields: 5 of 110
  • Physiology 375
  • Geriatrics and Gerontology 49
  • Cell Biology 189
  • Molecular Biology 791
  • Nephrology 61
Replace Angelika Meyer with:
Angelika Meyer Switzerland
Christoph G. Goemans United Kingdom
Rebecca J. Wilson United States
Roberta Sartori Italy
David Sala Spain
Nellie Y. Loh United Kingdom
Enrico Bertaggia Italy
Raffaella Di Lisi Italy
James R. Pancoast United States
Jessica Segalés Spain
Stefan Hettwer relative to Angelika Meyer Switzerland Angelika Meyer's profile →
Citations per field
00.5×1.5×2.4×
Angelika Meyer · 1×
Citations per year

Countries citing papers authored by Stefan Hettwer

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Hettwer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000134
2 2001122
3 2008116
4 201292
5 201488
6 200988
7 200787
8 201684
9 201671
10 200063
11 201162
12 201552
13 201449
14 201546
15 201845
16 201345
17 201436
18 200232
19 201132
20 201328

About Stefan Hettwer

Stefan Hettwer is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (10 papers), Muscle Physiology and Disorders (6 papers), Cellular transport and secretion (5 papers), Enzyme Structure and Function (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Myasthenia Gravis and Thymoma (3 papers), Nutrition and Health in Aging (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Physiology (375 citations), Geriatrics and Gerontology (49 citations), Cell Biology (189 citations), Molecular Biology (791 citations) and Nephrology (61 citations). Stefan Hettwer has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Reinhard Sterner, Pius Dahinden, Beat Kunz, P. Sonderegger, Jan W. Vrijbloed, Birte Höcker, Ariel Lustig, Matthias Wilmanns, Dennis Wegener and Karl Werdan. Their work appears in journals such as Critical Care, Clinical Research in Cardiology, PLoS ONE, The FASEB Journal and The journal of nutrition health & aging.

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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