Gaby Duinkerken

38 papers receiving 2.0k citations

Peers

Gaby Duinkerken
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 734
  • Genetics 1.3k
  • Immunology 656
  • Surgery 1.1k
  • Transplantation 55
Replace Antonella Maffei with:
Antonella Maffei Italy
Sefina Arif United Kingdom
Kristina M. Harris United States
Angela Stabilini Italy
Jean Leif United States
Guillermo Arreaza Canada
Joanna D. Davies United States
Kevin Goudy United States
Jose Zapardiel‐Gonzalo United States
Balaji Balasa United States
Gaby Duinkerken relative to Antonella Maffei Italy Antonella Maffei's profile →
Citations per field
00.5×4.3×
Antonella Maffei · 1×
Citations per year

Countries citing papers authored by Gaby Duinkerken

Since Specialization
Citations

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

Fields of papers citing papers by Gaby Duinkerken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001196
2 2010159
3 1999156
4 2013151
5 2008137
6 2010111
7 199788
8 200881
9 199572
10 201769
11 199666
12 200165
13 199653
14 199852
15 200851
16 201149
17 201148
18 199944
19 200841
20 201640

About Gaby Duinkerken

Gaby Duinkerken is a scholar working on Genetics, Surgery, Endocrinology, Diabetes and Metabolism, Immunology and Cell Biology, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes and associated disorders (25 papers), Pancreatic function and diabetes (22 papers), Diabetes Management and Research (15 papers), Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (5 papers), Muscle metabolism and nutrition (2 papers), Immunotherapy and Immune Responses (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (734 citations), Genetics (1.3k citations), Immunology (656 citations), Surgery (1.1k citations) and Transplantation (55 citations). Gaby Duinkerken has collaborated with scholars based in Netherlands, United Kingdom and Belgium. Frequent co-authors include Bart O. Roep, René R. P. de Vries, Jan W. Drijfhout, Bart Keymeulen, Daniël Pipeleers, Stéphan Martin, Arnaud Zaldumbide, Sabine J. M. Willemen, Frans H.J. Claas and Hubert Kolb. Their work appears in journals such as Diabetes, Journal of Autoimmunity, Clinical & Experimental Immunology, Diabetologia and Proceedings of the National Academy of Sciences.

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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