L. Berghman

1.4k citations
46 papers · 1.2k · h-index 21

Impact in

Papers in

L. Berghman

46 papers receiving 1.2k citations

Peers

L. Berghman
Comparison fields: 5 of 66
  • Animal Science and Zoology 389
  • Endocrinology, Diabetes and Metabolism 344
  • Reproductive Medicine 163
  • Agronomy and Crop Science 122
  • Small Animals 71
Replace REGINA VASILATOS-YOUNKEN with:
REGINA VASILATOS-YOUNKEN United States
H.H.D. Meyer Germany
Roberta Saleri Italy
Gilbert L. Hendricks United States
Dick F.M. van de Wiel Netherlands
Denis Petitclerc Canada
Guy Kann France
Magdi M. Mashaly United States
Vern L. Christensen United States
Brian K Whitlock United States
L. Berghman relative to REGINA VASILATOS-YOUNKEN United States REGINA VASILATOS-YOUNKEN's profile →
Citations per field
00.5×1.5×2.0×
REGINA VASILATOS-YOUNKEN · 1×
Citations per year

Countries citing papers authored by L. Berghman

Since Specialization
Citations

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

Fields of papers citing papers by L. Berghman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992167
2 199279
3 199263
4 200563
5 201563
6 200955
7 199950
8 199548
9 199041
10 199638
11 199936
12 199832
13 199430
14 199930
15 199329
16 199829
17 201628
18 201728
19 199127
20 200724

About L. Berghman

L. Berghman is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Animal Science and Zoology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (15 papers), Hypothalamic control of reproductive hormones (9 papers), Thyroid Disorders and Treatments (7 papers), Animal Nutrition and Physiology (5 papers), T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Influenza Virus Research Studies (2 papers) and Salmonella and Campylobacter epidemiology (2 papers). The work is most often cited by research in Animal Science and Zoology (389 citations), Endocrinology, Diabetes and Metabolism (344 citations), Reproductive Medicine (163 citations), Agronomy and Crop Science (122 citations) and Small Animals (71 citations). L. Berghman has collaborated with scholars based in Belgium, United States and Hungary. Frequent co-authors include E.R. Kühn, E. Decuypere, Frans Vandesande, Theo J. Visser, D. Vanmontfort, Guido Verhoeven, Eddy M. P. Decuypere, Luk J. F. Rombauts, Jasper Buyse and Er Kuhn. Their work appears in journals such as Poultry Science, General and Comparative Endocrinology, British Poultry Science, Biology of Reproduction and Domestic Animal Endocrinology.

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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