Tom Van Herpe

1.1k citations
27 papers · 790 · h-index 14

Impact in

Papers in

Tom Van Herpe

27 papers receiving 757 citations

Peers

Tom Van Herpe
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 580
  • Critical Care and Intensive Care Medicine 44
  • Genetics 94
  • Epidemiology 106
  • Medical Laboratory Technology 4
Replace Sophie Penning with:
Sophie Penning Belgium
Carmen V. Doran New Zealand
Effie Polyzogopoulou Greece
Matthew Signal New Zealand
Adrienne Lynn New Zealand
Hanqing Cao United States
J.C. Kuenen United States
John S. Clemmer United States
Chulin Huang China
Ali Emami Iran
Tom Van Herpe relative to Sophie Penning Belgium Sophie Penning's profile →
Citations per field
00.5×3.2×
Sophie Penning · 1×
Citations per year

Countries citing papers authored by Tom Van Herpe

Since Specialization
Citations

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

Fields of papers citing papers by Tom Van Herpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Van Herpe. 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 Tom Van Herpe. The network helps show where Tom Van Herpe may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013141
2 2008108
3 201272
4 201469
5 201652
6 201750
7 201547
8 200736
9 200630
10 200630
11 200828
12 200825
13 200924
14 201418
15 201211
16 200711
17 200611
18 20085
19 20084
20 20124

About Tom Van Herpe

Tom Van Herpe is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Genetics, Biomedical Engineering and Molecular Biology, having authored 27 papers that have together received 790 indexed citations. Recurring topics across this work include Hyperglycemia and glycemic control in critically ill and hospitalized patients (26 papers), Diabetes Management and Research (17 papers), Sepsis Diagnosis and Treatment (4 papers), Diabetes and associated disorders (3 papers), Intravenous Infusion Technology and Safety (3 papers), Cardiovascular Function and Risk Factors (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (580 citations), Critical Care and Intensive Care Medicine (44 citations), Genetics (94 citations), Epidemiology (106 citations) and Medical Laboratory Technology (4 citations). Tom Van Herpe has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Greet Van den Berghe, Bart De Moor, Dieter Mesotten, Pieter Wouters, Jos De Brabanter, Jean‐Charles Preiser, Roman Hovorka, Thomas Desaive, James S. Krinsley and Jeffrey I. Joseph. Their work appears in journals such as Journal of Diabetes Science and Technology, Critical Care, Diabetes Technology & Therapeutics, Journal of Parenteral and Enteral Nutrition and Clinical 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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