Jörg Hager

8.1k citations
77 papers · 2.8k · h-index 31

Impact in

Papers in

Jörg Hager

77 papers receiving 2.7k citations

Peers

Jörg Hager
Comparison fields: 5 of 124
  • Endocrine and Autonomic Systems 465
  • Physiology 583
  • Genetics 636
  • Nutrition and Dietetics 258
  • Endocrinology, Diabetes and Metabolism 249
Replace Oleg Varlamov with:
Oleg Varlamov United States
Valur Emilsson United States
Amélie Bonnefond France
Jan Rozman Germany
Sushil K. Mahata United States
Kimberley D. Bruce United States
Bronwyn A. Evans Australia
Christopher J. Lelliott United Kingdom
J R Flores-Riveros United States
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Citations per field
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Citations per year

Countries citing papers authored by Jörg Hager

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Hager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998291
2 2001285
3 1996140
4 2019122
5 1998105
6 199778
7 201572
8 201166
9 201263
10 200859
11 201954
12 200553
13 201751
14 201750
15 201250
16 201849
17 201148
18 200745
19
Candidate gene approach of familial morbid obesity: linkage analysis of the glucocorticoid receptor gene.
199645
20 199745

About Jörg Hager

Jörg Hager is a scholar working on Molecular Biology, Genetics, Physiology, Surgery and Endocrine and Autonomic Systems, having authored 77 papers that have together received 2.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Genetic Associations and Epidemiology (10 papers), Regulation of Appetite and Obesity (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Autism Spectrum Disorder Research (6 papers), Pancreatic function and diabetes (6 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (465 citations), Physiology (583 citations), Genetics (636 citations), Nutrition and Dietetics (258 citations) and Endocrinology, Diabetes and Metabolism (249 citations). Jörg Hager has collaborated with scholars based in France, Switzerland and Denmark. Frequent co-authors include Philippe Froguel, B Guy-Grand, Karine Clément, Arne Astrup, Wim H. M. Saris, Armand Valsesia, Christian Dina, Arnaud Basdevant, Peter Hellstern and Winfried März. Their work appears in journals such as Diabetes, American Journal of Clinical Nutrition, International Journal of Obesity, Scientific Reports and Frontiers in Nutrition.

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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