Cornelia Huth

9.4k citations
86 papers · 2.9k indexed · h-index 36

Impact in

Papers in

Cornelia Huth

85 papers receiving 2.9k citations

Peers

Cornelia Huth
Comparison fields: 5 of 129
  • Endocrinology, Diabetes and Metabolism 703
  • Physiology 615
  • Endocrine and Autonomic Systems 137
  • Cardiology and Cardiovascular Medicine 441
  • Epidemiology 613
Replace Mian Li with:
Mian Li China
Gary Bradwin United States
André P. van Beek Netherlands
Yimin Zhu China
Xuefeng Yu China
James G. Terry United States
Vincenzo Triggiani Italy
Konstantinos A. Toulis Greece
Stella Trompet Netherlands
Zhiyun Zhao China
Cornelia Huth relative to Mian Li China Mian Li's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Cornelia Huth

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Huth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019154
2 2020135
3 2005106
4 201797
5 201195
6 201175
7 201372
8 201867
9 201467
10 202166
11 201165
12 201663
13 201163
14 201762
15 201361
16 201559
17 201259
18 200757
19 200857
20 201955

About Cornelia Huth

Cornelia Huth is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Endocrine and Autonomic Systems, Physiology and Epidemiology, having authored 86 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Metabolism, Diabetes, and Cancer (10 papers), Diabetes Treatment and Management (9 papers), Vitamin D Research Studies (8 papers), Genetic Associations and Epidemiology (6 papers), Folate and B Vitamins Research (6 papers) and Nutrition, Genetics, and Disease (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (703 citations), Physiology (615 citations), Endocrine and Autonomic Systems (137 citations), Cardiology and Cardiovascular Medicine (441 citations) and Epidemiology (613 citations). Cornelia Huth has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Barbara Thorand, Christa Meisinger, Wolfgang Rathmann, Annette Peters, Christian Herder, Wolfgang Köenig, Michael Roden, Margit Heier, Bernd Kowall and Angela Döring. Their work appears in journals such as European Journal of Endocrinology, Diabetes Care, Diabetes/Metabolism Research and Reviews, Diabetologia and Cardiovascular Diabetology.

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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