Daniel Konrad

8.5k citations
112 papers · 5.1k · h-index 39

Impact in

Papers in

    • Adipose Tissue and Metabolism 31
    • Adipokines, Inflammation, and Metabolic Diseases 27
    • Liver Disease Diagnosis and Treatment 8

Daniel Konrad

112 papers receiving 4.9k citations

Peers

Daniel Konrad
Comparison fields: 5 of 132
  • Physiology 1.4k
  • Obstetrics and Gynecology 273
  • Endocrine and Autonomic Systems 252
  • Endocrinology, Diabetes and Metabolism 590
  • Epidemiology 1.2k
Replace Yun Sok Lee with:
Yun Sok Lee United States
Issei Tanaka Japan
Masahiko Takahashi Japan
Derek LeRoith United States
Jaswinder K. Sethi United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Konrad

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Konrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004330
2 2017318
3 2012206
4 2005201
5 2001188
6 2009175
7 2006161
8 2010152
9 2008150
10 2018144
11 2009140
12 2013131
13 2012111
14 2006105
15 2003101
16 2005101
17 201097
18 200397
19 200190
20 201483

About Daniel Konrad

Daniel Konrad is a scholar working on Physiology, Epidemiology, Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 112 papers that have together received 5.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (31 papers), Adipokines, Inflammation, and Metabolic Diseases (27 papers), Sexual Differentiation and Disorders (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Diabetes and associated disorders (7 papers), Metabolism, Diabetes, and Cancer (7 papers), Pancreatic function and diabetes (7 papers) and Regulation of Appetite and Obesity (6 papers). The work is most often cited by research in Physiology (1.4k citations), Obstetrics and Gynecology (273 citations), Endocrine and Autonomic Systems (252 citations), Endocrinology, Diabetes and Metabolism (590 citations) and Epidemiology (1.2k citations). Daniel Konrad has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Stephan Wueest, Eugen J. Schoenle, Anna Biason‐Lauber, Flurin Item, Assaf Rudich, Amira Klip, Francesca Navratil, Ε. Schoenle, Gary Sweeney and Marc Y. Donath. Their work appears in journals such as Diabetes, Adipocyte, Diabetologia, The Journal of Clinical Endocrinology & Metabolism and American Journal of Physiology-Endocrinology and Metabolism.

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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