Jan Krumsiek

12.5k citations
112 papers · 5.1k indexed · 1 hit paper · h-index 35
    • Metabolomics and Mass Spectrometry Studies 53
    • Bioinformatics and Genomic Networks 28
    • Microbial Metabolic Engineering and Bioproduction 10
    • Gene expression and cancer classification 10
  • Physiology top 2%
    • Diet and metabolism studies 12
    • Adipose Tissue and Metabolism 9
  • Aging top 5%
    • Pancreatic function and diabetes 9
    • Diabetes and associated disorders 8

Jan Krumsiek

107 papers receiving 5.0k citations

Hit Papers

Gepard: a rapid and sensitive tool for creating dotplots ...5112007202620132019100200300400500

Peers

Jan Krumsiek
Comparison fields: 5 of 169
  • Biological Psychiatry 133
  • Molecular Biology 3.2k
  • Physiology 983
  • Cancer Research 433
  • Aging 50
Replace Antonio Camargo with:
Antonio Camargo Spain
Bina Joe United States
Anne M. Evans United States
Óscar Yanes Spain
Nichole Reisdorph United States
Sujoy Ghosh United States
Mark P. Keller United States
Marcus Seldin United States
Akiyoshi Hirayama Japan
Gabi Kastenmüller Germany
Jan Krumsiek relative to Antonio Camargo Spain Antonio Camargo's profile →
Citations per field
00.5×1.5×
Antonio Camargo · 1×
Citations per year

Countries citing papers authored by Jan Krumsiek

Since Specialization
Citations

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

Fields of papers citing papers by Jan Krumsiek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202443
3 202312
4 20234
5 202327
6 20225
7 202233
8 20211
9 202119
10 202134
11 202177
12 202130
13 202015
14 20207
15 202017
16 202012
17 201957
18 201813
19 201843
20 201335

About Jan Krumsiek

Jan Krumsiek is a scholar working on Biological Psychiatry, Molecular Biology and Biochemistry, having authored 112 papers that have together received 5.1k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (53 papers), Bioinformatics and Genomic Networks (28 papers), Diet and metabolism studies (12 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Gene expression and cancer classification (10 papers), Adipose Tissue and Metabolism (9 papers), Pancreatic function and diabetes (9 papers) and Diabetes and associated disorders (8 papers). The work is most often cited by research in Biological Psychiatry (133 citations), Molecular Biology (3.2k citations) and Physiology (983 citations). Jan Krumsiek has collaborated with scholars based in Germany, United States and Qatar. Frequent co-authors include Fabian J. Theis, Thomas Rattei, Roland Arnold, Karsten Suhre, Jerzy Adamski, Gabi Kastenmüller, Thomas Illig, Jörg Bartel, Christian Gieger and Annette Peters. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature 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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