Karin Salzmann

642 citations
29 papers · 478 · h-index 14

Impact in

Papers in

Karin Salzmann

26 papers receiving 457 citations

Peers

Karin Salzmann
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 112
  • Physiology 98
  • Obstetrics and Gynecology 20
  • Cardiology and Cardiovascular Medicine 54
  • Rehabilitation 16
Replace Sabyasachi Sen with:
Sabyasachi Sen United States
K. Tsuchihashi Japan
LJ Murphy Canada
Maria Grazia Zenti Italy
Stella Dzienis-Straczkowska Poland
Emily K. Anderson‐Baucum United States
J. Drápalová Czechia
Danielle Lann United States
Zhenzhen Cao China
Karin Salzmann relative to Sabyasachi Sen United States Sabyasachi Sen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Karin Salzmann

Since Specialization
Citations

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

Fields of papers citing papers by Karin Salzmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201745
2 200743
3 201938
4 201135
5 202233
6 202229
7 195529
8 201828
9 201724
10 201823
11 201722
12 201722
13 202020
14 200419
15 200713
16 201412
17 19989
18 20149
19 20125
20 19554

About Karin Salzmann

Karin Salzmann is a scholar working on Pediatrics, Perinatology and Child Health, Epidemiology, Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Molecular Biology, having authored 29 papers that have together received 478 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (3 papers), Adipose Tissue and Metabolism (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Gestational Diabetes Research and Management (2 papers), Diabetes Treatment and Management (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Maternal and fetal healthcare (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (112 citations), Physiology (98 citations), Obstetrics and Gynecology (20 citations), Cardiology and Cardiovascular Medicine (54 citations) and Rehabilitation (16 citations). Karin Salzmann has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Susanne Kaser, Herbert Tilg, Christoph Ebenbichler, Claudia Ress, Josef R. Patsch, Andreas Melmer, Alexander Tschoner, Jochen Dobner, Michael T. Pedrini and Patrizia Moser. Their work appears in journals such as Atherosclerosis, International Journal of Obesity, The Journal of Nutritional Biochemistry, The Lancet and Biochemical and Biophysical Research Communications.

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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