David Owerbach

3.9k citations
63 papers · 3.4k · h-index 32

Impact in

  • Genetics top 2%
    • Diabetes and associated disorders
    • Genetic Associations and Epidemiology
    • Genomic variations and chromosomal abnormalities
    • Growth Hormone and Insulin-like Growth Factors

Papers in

David Owerbach

62 papers receiving 3k citations

Peers

David Owerbach
Comparison fields: 5 of 88
  • Genetics 1.4k
  • Endocrinology, Diabetes and Metabolism 402
  • Molecular Biology 1k
  • Reproductive Medicine 157
  • Immunology 208
Replace Thanh H. Vu with:
Thanh H. Vu United States
Wolfgang Northemann Germany
Núria Morral United States
Michael L. Stitzel United States
I. Viard Switzerland
Abraham White United States
Diana L. Carlone United States
J. Barra France
Henri‐Jean Garchon France
Lorenza Cannarile Italy
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Citations per field
00.5×1.7×
Thanh H. Vu · 1×
Citations per year

Countries citing papers authored by David Owerbach

Since Specialization
Citations

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

Fields of papers citing papers by David Owerbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004308
2 1981241
3 1983234
4 1994227
5 2005209
6 1980141
7 1981136
8 1982123
9 1981108
10 198193
11 198084
12 199281
13 199277
14 198370
15 199570
16 199368
17 198365
18 199065
19 199665
20 199253

About David Owerbach

David Owerbach is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery and Rheumatology, having authored 63 papers that have together received 3.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (28 papers), Genetic Associations and Epidemiology (21 papers), Pancreatic function and diabetes (8 papers), Sexual Differentiation and Disorders (7 papers), Genomic variations and chromosomal abnormalities (4 papers), Ubiquitin and proteasome pathways (3 papers), Glycogen Storage Diseases and Myoclonus (2 papers) and Salivary Gland Disorders and Functions (2 papers). The work is most often cited by research in Genetics (1.4k citations), Endocrinology, Diabetes and Metabolism (402 citations), Molecular Biology (1k citations), Reproductive Medicine (157 citations) and Immunology (208 citations). David Owerbach has collaborated with scholars based in United States, Denmark and Sweden. Frequent co-authors include Kenneth H. Gabbay, William J. Rutter, Thomas B. Shows, Kurt M. Bohren, Ricardo Azziz, Didier Dewailly, Åke Lernmark, Jørn Nerup, Jian H. Song and Murray Korc. Their work appears in journals such as Diabetes, The Lancet, Diabetologia, Proceedings of the National Academy of Sciences and Biochemical and Biophysical Research Communications.

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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