J L Pasteels

707 citations
31 papers · 602 · h-index 15

Impact in

Papers in

J L Pasteels

31 papers receiving 554 citations

Peers

J L Pasteels
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 158
  • Endocrinology, Diabetes and Metabolism 112
  • Reproductive Medicine 50
  • Neurology 35
  • Toxicology 14
Replace Shehnaaz S.M. Manji with:
Shehnaaz S.M. Manji Australia
Anna Marie Camoratto United States
Laurel M. Sam United States
Louis H. Ferland United States
A. John Clark United Kingdom
E Gizang-Ginsberg United States
Mary Kay Meintzer United States
H. Fujita Japan
Marina Inés Flamini Argentina
Daniel Hochbaum United States
J L Pasteels relative to Shehnaaz S.M. Manji Australia Shehnaaz S.M. Manji's profile →
Citations per field
00.5×2.8×
Shehnaaz S.M. Manji · 1×
Citations per year

Countries citing papers authored by J L Pasteels

Since Specialization
Citations

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

Fields of papers citing papers by J L Pasteels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198785
2 199681
3 198576
4 199750
5 197732
6 197329
7 198628
8 197121
9 197217
10 198617
11 199516
12 199615
13 197715
14 198915
15 196214
16 199312
17 197211
18 19969
19 19889
20 19968

About J L Pasteels

J L Pasteels is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cellular and Molecular Neuroscience and Genetics, having authored 31 papers that have together received 602 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Neuropeptides and Animal Physiology (4 papers), Estrogen and related hormone effects (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Cancer Genomics and Diagnostics (3 papers), Vitamin D Research Studies (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (158 citations), Endocrinology, Diabetes and Metabolism (112 citations), Reproductive Medicine (50 citations), Neurology (35 citations) and Toxicology (14 citations). J L Pasteels has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include Marc Parmentier, André Danguy, Roland Pochet, David Lawson, Róbert Kiss, Isabelle Camby, Isabelle Salmon, Jean Martínez, F. Rypens and M Herlant. Their work appears in journals such as Neuropeptides, Gut, Brain Research, International Journal of Oncology and Neuropathology and Applied Neurobiology.

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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