Frans Gorus

9.8k citations
193 papers · 6.3k · h-index 42

Impact in

Papers in

    • Diabetes and associated disorders 99
    • Pancreatic function and diabetes 78

Frans Gorus

188 papers receiving 6.0k citations

Peers

Frans Gorus
Comparison fields: 5 of 130
  • Endocrinology, Diabetes and Metabolism 2.3k
  • Genetics 3.4k
  • Surgery 2.8k
  • Immunology 623
  • Gastroenterology 142
Replace Akira Shimada with:
Akira Shimada Japan
Jun‐ichiro Miyagawa Japan
Aaron W. Michels United States
John P. Mordes United States
Nanette C. Schloot Germany
Lut Overbergh Belgium
Thomas Linn Germany
Henrik B. Mortensen Denmark
Markku Lehto Finland
Willem Sluiter Netherlands
Frans Gorus relative to Akira Shimada Japan Akira Shimada's profile →
Citations per field
00.5×2.7×
Akira Shimada · 1×
Citations per year

Countries citing papers authored by Frans Gorus

Since Specialization
Citations

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

Fields of papers citing papers by Frans Gorus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000253
2 2010242
3 2013197
4 2019196
5 2002160
6 2008153
7 2006150
8 2007150
9 1998134
10 1997126
11 2004124
12 1981121
13 1995111
14 2002102
15 1997100
16 2001100
17 199796
18 200096
19 199391
20 200988

About Frans Gorus

Frans Gorus is a scholar working on Genetics, Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology and Immunology, having authored 193 papers that have together received 6.3k indexed citations. Recurring topics across this work include Diabetes and associated disorders (99 papers), Pancreatic function and diabetes (78 papers), Diabetes Management and Research (53 papers), Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (6 papers), Cannabis and Cannabinoid Research (4 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Protein purification and stability (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Genetics (3.4k citations), Surgery (2.8k citations), Immunology (623 citations) and Gastroenterology (142 citations). Frans Gorus has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Daniël Pipeleers, Bart Keymeulen, Bart Van Der Auwera, Ilse Weets, Christina Vandewalle, Chantal Mathieu, Frans Schuit, Bart O. Roep, Luc Huyghens and Zhidong Ling. Their work appears in journals such as Diabetologia, Clinical Chemistry, Diabetes Care, Diabetes and Clinical & Experimental Immunology.

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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