Martin Overgaard

1.9k citations
59 papers · 1.6k · h-index 21

Impact in

  • Genetics top 2%
    • Bacterial Genetics and Biotechnology
    • Gestational Diabetes Research and Management
    • Pregnancy and preeclampsia studies

Papers in

Martin Overgaard

55 papers receiving 1.5k citations

Peers

Martin Overgaard
Comparison fields: 5 of 84
  • Genetics 870
  • Obstetrics and Gynecology 158
  • Endocrinology 52
  • Molecular Medicine 81
  • Molecular Biology 262
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Angela M. Mitchell United States
Ammi Grahn Sweden
Tone Møller Tannæs Norway
Sunita Sinha Canada
Gabriella Garufi United States
Madhumati Sevvana Germany
Irina M. Velsko United States
John D. Baird Canada
Meiqin Zheng China
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Citations per field
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Citations per year

Countries citing papers authored by Martin Overgaard

Since Specialization
Citations

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

Fields of papers citing papers by Martin Overgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006209
2 2008173
3 2009119
4 2009104
5 201096
6 201693
7 200973
8 200354
9 201649
10 200942
11 201342
12 201937
13 201536
14 200735
15 201732
16 201631
17 202130
18 200628
19 201426
20 202325

About Martin Overgaard

Martin Overgaard is a scholar working on Obstetrics and Gynecology, Genetics, Spectroscopy, Molecular Medicine and Endocrinology, Diabetes and Metabolism, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Pregnancy and preeclampsia studies (11 papers), Gestational Diabetes Research and Management (10 papers), Advanced Proteomics Techniques and Applications (5 papers), Clinical Laboratory Practices and Quality Control (3 papers), Aortic aneurysm repair treatments (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Genetics (870 citations), Obstetrics and Gynecology (158 citations), Endocrinology (52 citations), Molecular Medicine (81 citations) and Molecular Biology (262 citations). Martin Overgaard has collaborated with scholars based in Denmark, United Kingdom and Australia. Frequent co-authors include Poul Valentin‐Hansen, Jesper Johansen, Kenn Gerdes, Jonas Borch, Anders Aamann Rasmussen, Jakob Møller‐Jensen, Mikkel Girke Jørgensen, Birgitte Haahr Kallipolitis, Lars Melholt Rasmussen and Anders Boysen. Their work appears in journals such as Molecular Microbiology, Pregnancy Hypertension, Ultrasound in Obstetrics and Gynecology, Acta Diabetologica and PROTEOMICS - CLINICAL APPLICATIONS.

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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