Jan A. Mol

176 papers receiving 5.1k citations

Peers

Jan A. Mol
Comparison fields: 5 of 139
  • Small Animals 2.0k
  • Equine 204
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Behavioral Neuroscience 299
  • Genetics 1.8k
Replace Hannes Lohi with:
Hannes Lohi Finland
Alan J. Conley United States
Jann Hau Denmark
Stephen P. Ford United States
Anita M. Oberbauer United States
Kathelijne Peremans Belgium
David L. Hess United States
Wilson Savino Brazil
D. Schams Germany
K. C. Kent Lloyd United States
Jan A. Mol relative to Hannes Lohi Finland Hannes Lohi's profile →
Citations per field
00.5×10×15×18.9×
Hannes Lohi · 1×
Citations per year

Countries citing papers authored by Jan A. Mol

Since Specialization
Citations

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

Fields of papers citing papers by Jan A. Mol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan A. Mol. 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 Jan A. Mol. The network helps show where Jan A. Mol may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998430
2 1999274
3 1996203
4 2001198
5 2000192
6 1999192
7 1988146
8 1994130
9 1985126
10 1997109
11 1995102
12 199693
13 199583
14
Expression of growth hormone in canine mammary tissue and mammary tumors. Evidence for a potential autocrine/paracrine stimulatory loop.
199778
15 199372
16 200870
17 198570
18 200969
19 200261
20 198654

About Jan A. Mol

Jan A. Mol is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Small Animals, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 178 papers that have together received 5.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (51 papers), Veterinary Medicine and Surgery (29 papers), Veterinary Oncology Research (25 papers), Stress Responses and Cortisol (17 papers), Neuroendocrine regulation and behavior (14 papers), Thyroid Disorders and Treatments (14 papers), Reproductive Physiology in Livestock (13 papers) and Animal Behavior and Welfare Studies (13 papers). The work is most often cited by research in Small Animals (2.0k citations), Equine (204 citations), Endocrinology, Diabetes and Metabolism (1.5k citations), Behavioral Neuroscience (299 citations) and Genetics (1.8k citations). Jan A. Mol has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include A. Rijnberk, B. Beerda, Matthijs B.H. Schilder, Jan A. R. A. M. van Hooff, H. W. de Vries, Theo J. Visser, H.S. Kooistra, Gerard R. Rutteman, E. van Garderen and P.J. Selman. Their work appears in journals such as Domestic Animal Endocrinology, The Veterinary Journal, Veterinary Record, Endocrinology and Journal of Veterinary Internal Medicine.

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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