J. M. Wit

823 citations
14 papers · 596 · h-index 7

Impact in

Papers in

    • Growth Hormone and Insulin-like Growth Factors 5
    • Diabetes Management and Research 1
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
    • Genetics and Neurodevelopmental Disorders 1

J. M. Wit

13 papers receiving 553 citations

Peers

J. M. Wit
Comparison fields: 5 of 57
  • Endocrinology, Diabetes and Metabolism 344
  • Gastroenterology 59
  • Genetics 223
  • Pediatrics, Perinatology and Child Health 73
  • Sensory Systems 16
Replace W. v. Petrykowski with:
W. v. Petrykowski Germany
C. M. Hall United Kingdom
Giuseppa Patti Italy
Billie Jeanne Duke United States
Milva Orquidea Bal Italy
Omar Villaroel Venezuela
V. Horton United Kingdom
Giovanni Battista Pozzan Italy
Robert S. Schmidli Australia
S. Oger France
J. M. Wit relative to W. v. Petrykowski Germany W. v. Petrykowski's profile →
Citations per field
00.5×10×16×
W. v. Petrykowski · 1×
Citations per year

Countries citing papers authored by J. M. Wit

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Wit. 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 J. M. Wit. The network helps show where J. M. Wit may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2005261
2 2006115
3 199470
4 200259
5 199252
6 201310
7 20039
8 19936
9 19944
10 19994
11 19902
12 19942
13 20192
14 19990

About J. M. Wit

J. M. Wit is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Gastroenterology, having authored 14 papers that have together received 596 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Celiac Disease Research and Management (3 papers), Sexual Differentiation and Disorders (2 papers), Pancreatic function and diabetes (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Diabetes Management and Research (1 paper) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (344 citations), Gastroenterology (59 citations), Genetics (223 citations), Pediatrics, Perinatology and Child Health (73 citations) and Sensory Systems (16 citations). J. M. Wit has collaborated with scholars based in Netherlands, Belgium and Australia. Frequent co-authors include M.J.E. Walenkamp, Marcel Karperien, Johannes A. Romijn, Alberto M. Pereira, Hermine A. van Duyvenvoorde, Bart Boersma, H. S. A. Heymans, Gerard M. Damen, Jeroen J. Bax and J. van Doorn. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Pediatric Gastroenterology and Nutrition, European Journal of Endocrinology, Clinical Endocrinology and Hormone Research in Paediatrics.

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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