Dan Schwarzfuchs

45 papers receiving 1.3k citations

Peers

Dan Schwarzfuchs
Comparison fields: 5 of 92
  • Physiology 413
  • Nephrology 74
  • Public Health, Environmental and Occupational Health 282
  • Endocrinology, Diabetes and Metabolism 157
  • Endocrine and Autonomic Systems 52
Replace Luisa Gilardini with:
Luisa Gilardini Italy
Ana Carolina Junqueira Vasques Brazil
W C Knowler United States
Corinna Geisler Germany
Christine Maric‐Bilkan United States
Piotr Kocełak Poland
Yuni Choi United States
Janine Roumain United States
Mustafa Kendırcı Türkiye
Cláudio Corá Mottin Brazil
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Citations per year

Countries citing papers authored by Dan Schwarzfuchs

Since Specialization
Citations

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

Fields of papers citing papers by Dan Schwarzfuchs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010154
2 2009143
3 2011116
4 2012106
5 200599
6 201388
7 202068
8 201668
9 201060
10 200949
11 201043
12 202042
13 200941
14 201434
15 202133
16 202121
17 201820
18 202117
19 202315
20 201114

About Dan Schwarzfuchs

Dan Schwarzfuchs is a scholar working on Physiology, Surgery, Genetics, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diet and metabolism studies (6 papers), Diabetes and associated disorders (4 papers), Nutritional Studies and Diet (4 papers), Adipose Tissue and Metabolism (3 papers), Muscle metabolism and nutrition (2 papers), Cardiovascular Disease and Adiposity (2 papers), Epigenetics and DNA Methylation (2 papers) and Disaster Response and Management (2 papers). The work is most often cited by research in Physiology (413 citations), Nephrology (74 citations), Public Health, Environmental and Occupational Health (282 citations), Endocrinology, Diabetes and Metabolism (157 citations) and Endocrine and Autonomic Systems (52 citations). Dan Schwarzfuchs has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Iris Shai, Meir J. Stampfer, Michael Stümvoll, Matthias Blüher, Joachim Thiery, Martin Fiedler, Assaf Rudich, Rachel Golan, Yaakov Henkin and Ilana Harman‐Boehm. Their work appears in journals such as Diabetes Care, Journal of the American College of Nutrition, PLoS ONE, American Journal of Clinical Nutrition and Clinical 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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