Carsten Otto

1.5k citations
31 papers · 958 · h-index 18

Impact in

Papers in

Carsten Otto

30 papers receiving 899 citations

Peers

Carsten Otto
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 198
  • Surgery 488
  • Software 29
  • Hematology 56
  • Cancer Research 68
Replace Makoto Katoh with:
Makoto Katoh Japan
Therèse Heinonen Canada
Yoshiro Naito Japan
Cristina Barale Italy
Joshua P. Lewis United States
Emil M. deGoma United States
G. Tibolla Italy
Shin-ichiro Miura Japan
Javier Navarro-Antolı́n Spain
Dharambir K. Sanghera United States
Carsten Otto relative to Makoto Katoh Japan Makoto Katoh's profile →
Citations per field
00.5×5.8×
Makoto Katoh · 1×
Citations per year

Countries citing papers authored by Carsten Otto

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Otto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002134
2 2001111
3 200289
4 200663
5 200355
6 199943
7 200240
8 200436
9 200134
10 201633
11 200229
12 200128
13 200728
14 200928
15 201027
16 200625
17 200023
18 200220
19 200317
20 200516

About Carsten Otto

Carsten Otto is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 31 papers that have together received 958 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Blood properties and coagulation (7 papers), Lipid metabolism and disorders (6 papers), Logic, programming, and type systems (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Formal Methods in Verification (3 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (198 citations), Surgery (488 citations), Software (29 citations), Hematology (56 citations) and Cancer Research (68 citations). Carsten Otto has collaborated with scholars based in Germany, United Kingdom and Austria. Frequent co-authors include Klaus G. Parhofer, P. Schwändt, H.C. Geiss, Klaus von Bergmann, H.C. Geiss, Robert J. Frost, Werner Richter, Dieter Lütjohann, Klaus Empen and Hartmut Schmidt. Their work appears in journals such as Metabolism, Journal of Clinical Apheresis, The American Journal of Cardiology, Atherosclerosis and European Journal of Ultrasound.

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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