Dan Schwarzfuchs

5.1k citations
48 papers · 1.3k indexed · h-index 18

Dan Schwarzfuchs

44 papers receiving 1.3k citations

Peers

Dan Schwarzfuchs
Comparison fields: 5 of 96
  • Physiology 642
  • Public Health, Environmental and Occupational Health 467
  • Endocrinology, Diabetes and Metabolism 227
  • Pharmacy 63
  • Endocrine and Autonomic Systems 83
Replace Marie-Ève Lavoie with:
Marie-Ève Lavoie Canada
Corinna Geisler Germany
Luisa Gilardini Italy
Raquel Munhoz da Silveira Campos Brazil
Claire Carette France
Ana Carolina Junqueira Vasques Brazil
W C Knowler United States
Florence Conus Canada
Louise Groth Grunnet Denmark
Jean Bernard Ruidavets France
Dan Schwarzfuchs relative to Marie-Ève Lavoie Canada Marie-Ève Lavoie's profile →
Citations per field
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Marie-Ève Lavoie · 1×
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-authorship network

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
#Work
1 20250
2 20250
3 20241
4 20221
5 20213
6 20214
7 20211
8 202038
9 201711
10 20171
11 201667
12 20158
13 201411
14 20121
15 201114
16 201112
17 201042
18 2009138
19 200949
20
[Blocking of the thyroid against I-131 following a nuclear disaster].
20053

About Dan Schwarzfuchs

Dan Schwarzfuchs is a scholar working on Physiology, Emergency Medicine, Public Health, Environmental and Occupational Health, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diet and metabolism studies (21 papers), Nutritional Studies and Diet (12 papers), Adipose Tissue and Metabolism (6 papers), Cardiovascular Disease and Adiposity (5 papers), Muscle metabolism and nutrition (5 papers), Obesity, Physical Activity, Diet (5 papers), Diabetes Management and Research (4 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Physiology (642 citations), Public Health, Environmental and Occupational Health (467 citations), Endocrinology, Diabetes and Metabolism (227 citations), Pharmacy (63 citations) and Endocrine and Autonomic Systems (83 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, Joachim Thiery, Matthias Blüher, Martin Fiedler, Rachel Golan, Assaf Rudich, Yaakov Henkin and Ilana Harman‐Boehm. Their work appears in journals such as Diabetes Care, Journal of the American College of Nutrition, American Journal of Clinical Nutrition, Clinical Nutrition and PLoS ONE.

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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