Daniel Walcher

1.9k citations
44 papers · 1.6k · h-index 20

Impact in

Papers in

Daniel Walcher

43 papers receiving 1.5k citations

Peers

Daniel Walcher
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 427
  • Clinical Biochemistry 114
  • Cardiology and Cardiovascular Medicine 214
  • Genetics 222
  • Molecular Biology 538
Replace Susumu Kurihara with:
Susumu Kurihara Japan
Sabrina Prudente Italy
Kiyoshi Yokoi Japan
Esa Tahvanainen Finland
Minoru Okubo Japan
R A Norum United States
Jerzy‐Roch Nofer Germany
Tonino Ercolino Italy
Pascale de Lonlay France
Wanda S. LeJeune United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Walcher

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Walcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005238
2 2005134
3 2004123
4 2005113
5 2004100
6 201285
7 200683
8 200679
9 200461
10 200659
11 201045
12 201242
13 200936
14 200932
15 201026
16 200822
17 201121
18 201220
19 201019
20 200419

About Daniel Walcher

Daniel Walcher is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diabetes and associated disorders (8 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiac pacing and defibrillation studies (3 papers), Diabetes Treatment and Management (3 papers) and Cholesterol and Lipid Metabolism (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (427 citations), Clinical Biochemistry (114 citations), Cardiology and Cardiovascular Medicine (214 citations), Genetics (222 citations) and Molecular Biology (538 citations). Daniel Walcher has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Nikolaus Marx, Vinzenz Hombach, Helga Bach, Wolfgang Köenig, Thomas Först, Andreas Pfützner, G Lübben, Thomas R. Konrad, Matthias Langenfeld and Jack P. Strong. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of the American College of Cardiology, Biomolecules, Diabetes and Cellular and Molecular Life Sciences.

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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