Jan Oppelt

1.2k citations
48 papers · 578 · h-index 14

Impact in

Papers in

    • RNA modifications and cancer 5
    • T-cell and B-cell Immunology 9
    • Immune Cell Function and Interaction 5
    • Immune Response and Inflammation 4

Jan Oppelt

46 papers receiving 574 citations

Peers

Jan Oppelt
Comparison fields: 5 of 84
  • Microbiology 84
  • Equine 8
  • Cancer Research 71
  • Physiology 115
  • Immunology 91
Replace Tushar Vaidya with:
Tushar Vaidya India
Toshihiro Tsukui Japan
Theresa Pesch Switzerland
Frank Wegmann Netherlands
Tristan Félix France
Y Li China
E. Becker Germany
Muthafar Al‐Haddawi Singapore
Marı́a Teresa Damiani Argentina
Stacia Phillips United States
Jan Oppelt relative to Tushar Vaidya India Tushar Vaidya's profile →
Citations per field
00.5×6.7×
Tushar Vaidya · 1×
Citations per year

Countries citing papers authored by Jan Oppelt

Since Specialization
Citations

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

Fields of papers citing papers by Jan Oppelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201972
2 201842
3 201639
4 201932
5 202129
6 201729
7 201726
8 201922
9 201820
10 201817
11 201814
12 201913
13 202013
14 202113
15 201913
16 201812
17 202112
18 201912
19 201911
20 201911

About Jan Oppelt

Jan Oppelt is a scholar working on Molecular Biology, Immunology, Physiology, Genetics and Microbiology, having authored 48 papers that have together received 578 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Syphilis Diagnosis and Treatment (8 papers), Immune Cell Function and Interaction (5 papers), RNA modifications and cancer (5 papers), Reproductive tract infections research (5 papers), Immune Response and Inflammation (4 papers), MicroRNA in disease regulation (4 papers) and Sex work and related issues (3 papers). The work is most often cited by research in Microbiology (84 citations), Equine (8 citations), Cancer Research (71 citations), Physiology (115 citations) and Immunology (91 citations). Jan Oppelt has collaborated with scholars based in Czechia, United States and Austria. Frequent co-authors include Michal Slaný, David Šmajs, Petr Hořín, Lenka Mikalová, Zissimos P. Mourelatos, Kateřina Amruz Černá, Caroline C. Friedel, Michal Strouhal, Michael Kluge and Koen Bartholomeeusen. Their work appears in journals such as HLA, PLoS neglected tropical diseases, Scientific Reports, PLoS ONE and Leukemia.

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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