Jan Rupp

9.2k citations
221 papers · 4.3k · h-index 39

Impact in

  • Microbiology top 0.2%
    • Reproductive tract infections research
  • Immunology top 2%
    • Immune Response and Inflammation
    • Reproductive System and Pregnancy

Papers in

    • Reproductive tract infections research 64
    • Urinary Tract Infections Management 27
    • Pneumonia and Respiratory Infections 18

Jan Rupp

208 papers receiving 4.2k citations

Peers

Jan Rupp
Comparison fields: 5 of 136
  • Microbiology 996
  • Immunology 871
  • Epidemiology 1.2k
  • Biological Psychiatry 78
  • Endocrinology 151
Replace Alexander Swidsinski with:
Alexander Swidsinski Germany
Adam J. Ratner United States
Marien I. de Jonge Netherlands
Philipp Henneke Germany
James T. Summersgill United States
Rachel M. McLoughlin Ireland
David H. Dockrell United Kingdom
Alexander H. Dalpke Germany
Cornelis Vink Netherlands
Tran Thi Hong Chau Vietnam
Jan Rupp relative to Alexander Swidsinski Germany Alexander Swidsinski's profile →
Citations per field
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Alexander Swidsinski · 1×
Citations per year

Countries citing papers authored by Jan Rupp

Since Specialization
Citations

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

Fields of papers citing papers by Jan Rupp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 221 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004129
2 2000121
3 2018111
4 2012110
5 200495
6 201585
7 200777
8 201472
9 202070
10 201869
11 201664
12 201558
13 200958
14 201057
15 201056
16 201355
17 201754
18 201053
19 201052
20 200351

About Jan Rupp

Jan Rupp is a scholar working on Microbiology, Epidemiology, Immunology, Molecular Biology and Infectious Diseases, having authored 221 papers that have together received 4.3k indexed citations. Recurring topics across this work include Reproductive tract infections research (64 papers), Urinary Tract Infections Management (27 papers), Pneumonia and Respiratory Infections (18 papers), Gut microbiota and health (17 papers), Immune Response and Inflammation (16 papers), Reproductive System and Pregnancy (14 papers), Neonatal and Maternal Infections (11 papers) and Neonatal Respiratory Health Research (10 papers). The work is most often cited by research in Microbiology (996 citations), Immunology (871 citations), Epidemiology (1.2k citations), Biological Psychiatry (78 citations) and Endocrinology (151 citations). Jan Rupp has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Matthias Maass, Werner Solbach, Klaus Dalhoff, Kensuke Shima, Jens Gieffers, Matthias Klinger, Simon Graspeuntner, Ger van Zandbergen, John F. Baines and H. Kothe. Their work appears in journals such as Scientific Reports, PLoS ONE, Microbiology Spectrum, Infection and Antimicrobial Agents and Chemotherapy.

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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