Jan Baumbach

22.6k citations
439 papers · 13.2k indexed · 3 hit papers · h-index 58

Impact in

Papers in

Jan Baumbach

420 papers receiving 13.0k citations

Hit Papers

Primer, Pipelines, Parameters: Issues in 16S rRNA Gene Sequencing 2021 · 270 citations
2702019202620212023100200300400500

Peers

Jan Baumbach
Comparison fields: 5 of 209
  • Spectroscopy 2.4k
  • Health Informatics 189
  • Molecular Biology 5.4k
  • Biomedical Engineering 3.1k
  • Microbiology 433
Replace Tingjun Hou with:
Tingjun Hou China
Gisbert Schneider Switzerland
Søren Brunak Denmark
Hualiang Jiang China
Honglin Li China
Yu Chen China
Jian Zhang China
Royston Goodacre United Kingdom
Yang Zhang China
Olivier Michielin Switzerland
Jan Baumbach relative to Tingjun Hou China Tingjun Hou's profile →
Citations per field
00.5×5.9×
Tingjun Hou · 1×
Citations per year

Countries citing papers authored by Jan Baumbach

Since Specialization
Citations

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

Fields of papers citing papers by Jan Baumbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202514
3 20243
4 202310
5 20232
6 20234
7 20238
8 202210
9 20224
10 202110
11 20218
12 202063
13 20209
14 202017
15 20207
16
Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology
Hit paper breakdown →
2019569
17 20182
18 20187
19 20131
20 200836

About Jan Baumbach

Jan Baumbach is a scholar working on Spectroscopy, Health Informatics, Molecular Biology, Behavioral Neuroscience and Biomedical Engineering, having authored 439 papers that have together received 13.2k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (100 papers), Bioinformatics and Genomic Networks (65 papers), Analytical Chemistry and Chromatography (58 papers), Mass Spectrometry Techniques and Applications (49 papers), Gene expression and cancer classification (34 papers), Genomics and Phylogenetic Studies (31 papers), Metabolomics and Mass Spectrometry Studies (28 papers) and Respiratory viral infections research (28 papers). The work is most often cited by research in Spectroscopy (2.4k citations), Health Informatics (189 citations), Molecular Biology (5.4k citations), Biomedical Engineering (3.1k citations) and Microbiology (433 citations). Jan Baumbach has collaborated with scholars based in Germany, Denmark and United States. Frequent co-authors include Markus List, Wolfgang Vautz, Bertram Bödeker, Richard Röttger, Anne-Christin Hauschild, Josch K. Pauling, Tobias Wittkop, Stefanie Sielemann, Ann Thomas and Raquel Cumeras. Their work appears in journals such as Bioinformatics, Journal of Breath Research, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, Nucleic Acids Research and PLoS ONE.

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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