J Kolanowski

1.3k citations
71 papers · 1.0k · h-index 17

Impact in

Papers in

J Kolanowski

69 papers receiving 951 citations

Peers

J Kolanowski
Comparison fields: 5 of 101
  • Behavioral Neuroscience 92
  • Endocrinology, Diabetes and Metabolism 387
  • Pharmacology 236
  • Physiology 347
  • Pharmacy 46
Replace Christophe Binnert with:
Christophe Binnert Switzerland
S Sensi Italy
Jesse Roth United States
J. Paterson United Kingdom
Florence Massiéra France
G.R. Abreu Brazil
Randall L. Tackett United States
Amélio F. Godoy‐Matos Brazil
J Kolanowski relative to Christophe Binnert Switzerland Christophe Binnert's profile →
Citations per field
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Christophe Binnert · 1×
Citations per year

Countries citing papers authored by J Kolanowski

Since Specialization
Citations

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

Fields of papers citing papers by J Kolanowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001127
2 1993118
3 199957
4 199645
5 199944
6 199038
7 199937
8 199735
9 197433
10 199230
11 197530
12 197623
13 199322
14 198322
15 197220
16 199818
17 197818
18
Fluoxetine therapy in obese diabetic and glucose intolerant patients.
199216
19 198215
20 197714

About J Kolanowski

J Kolanowski is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Behavioral Neuroscience, Cardiology and Cardiovascular Medicine and Surgery, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diet and metabolism studies (18 papers), Hormonal Regulation and Hypertension (18 papers), Stress Responses and Cortisol (14 papers), Adrenal Hormones and Disorders (13 papers), Hormonal and reproductive studies (6 papers), Advanced MRI Techniques and Applications (5 papers), Metabolism and Genetic Disorders (5 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Behavioral Neuroscience (92 citations), Endocrinology, Diabetes and Metabolism (387 citations), Pharmacology (236 citations), Physiology (347 citations) and Pharmacy (46 citations). J Kolanowski has collaborated with scholars based in Belgium, Democratic Republic of the Congo and Luxembourg. Frequent co-authors include J. Crabbé, André Scheen, Jean‐Paul Buts, François Van Hoof, L. Van Gaal, Erik Muls, Étienne Sokal, J Lammerant, Manuel Pizarro and Guy De Backer. Their work appears in journals such as European Journal of Clinical Investigation, Journal of Molecular and Cellular Cardiology, Metabolism, International Journal of Obesity and Molecular and Cellular 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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