Ole Skovgaard

62 papers receiving 1.7k citations

Peers

Ole Skovgaard
Comparison fields: 5 of 112
  • Endocrinology 353
  • Molecular Medicine 169
  • Genetics 742
  • Statistical and Nonlinear Physics 179
  • Earth-Surface Processes 89
Replace Tohey Matsuyama with:
Tohey Matsuyama Japan
Lotte Søgaard‐Andersen Germany
Motoo Suzuki Japan
Edo Kussell United States
Ikuro Kawagishi Japan
Ariel Amir United States
Conrad L. Woldringh Netherlands
Elizabeth A. Shank United States
A.A. Katsanos Greece
D. Nunn United Kingdom
Ole Skovgaard relative to Tohey Matsuyama Japan Tohey Matsuyama's profile →
Citations per field
00.5×10×15×22.3×
Tohey Matsuyama · 1×
Citations per year

Countries citing papers authored by Ole Skovgaard

Since Specialization
Citations

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

Fields of papers citing papers by Ole Skovgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005202
2 1978109
3 2012106
4 2016104
5 200789
6 198469
7 201168
8 198864
9 200663
10 200662
11 200941
12 201540
13 201540
14 198738
15 199036
16 201333
17 198733
18 201031
19 199631
20 198330

About Ole Skovgaard

Ole Skovgaard is a scholar working on Genetics, Molecular Biology, Endocrinology, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (25 papers), Vibrio bacteria research studies (11 papers), Nonlinear Photonic Systems (9 papers), DNA Repair Mechanisms (9 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Escherichia coli research studies (7 papers), Advanced Fiber Laser Technologies (6 papers) and Infective Endocarditis Diagnosis and Management (6 papers). The work is most often cited by research in Endocrinology (353 citations), Molecular Medicine (169 citations), Genetics (742 citations), Statistical and Nonlinear Physics (179 citations) and Earth-Surface Processes (89 citations). Ole Skovgaard has collaborated with scholars based in Denmark, United States and France. Frequent co-authors include Anders Løbner‐Olesen, Martin Marinus, P. L. Christiansen, Marie‐Eve Val, Didier Mazel, Rasmus Bugge Jensen, M. B. Abbott, Flemming Hansen, M. Bland and Magaly Ducos‐Galand. Their work appears in journals such as Physical review. B, Condensed matter, Molecular Microbiology, Journal of Bacteriology, Nucleic Acids Research and Science Advances.

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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