Jörn Coers

11.3k citations
71 papers · 3.9k indexed · h-index 37
  • Parasitology top 0.5%
    • Toxoplasma gondii Research Studies 15
  • Endocrinology top 0.5%
    • Escherichia coli research studies 7
  • Microbiology top 0.5%
    • Reproductive tract infections research 14
  • Immunology top 1%
    • interferon and immune responses 18
    • Immune Response and Inflammation 18
    • Immune Cell Function and Interaction 8
    • Cytomegalovirus and herpesvirus research 11
    • Inflammasome and immune disorders 15

Jörn Coers

69 papers receiving 3.9k citations

Peers

Jörn Coers
Comparison fields: 5 of 101
  • Parasitology 729
  • Endocrinology 563
  • Microbiology 568
  • Immunology 1.6k
  • Epidemiology 1.2k
Replace Letícia A. M. Carneiro with:
Letícia A. M. Carneiro Brazil
Mona Bajaj‐Elliott United Kingdom
Fumitaka Hayashi United States
Cynthia A. Leifer United States
Christine Hale United Kingdom
T. Sakari Jokiranta Finland
Janine L. Coombes United Kingdom
John R. Young United Kingdom
Janis J. Weis United States
Kimmo Virtaneva United States
Jörn Coers relative to Letícia A. M. Carneiro Brazil Letícia A. M. Carneiro's profile →
Citations per field
00.5×4.9×
Letícia A. M. Carneiro · 1×
Citations per year

Countries citing papers authored by Jörn Coers

Since Specialization
Citations

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

Fields of papers citing papers by Jörn Coers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20244
4 20237
5 20236
6 202337
7 20231
8 202272
9 202018
10 201930
11 2017107
12 201784
13 201721
14 201649
15 2015131
16 2015101
17 201456
18 200844
19 200895
20 2007111

About Jörn Coers

Jörn Coers is a scholar working on Parasitology, Microbiology and Endocrinology, having authored 71 papers that have together received 3.9k indexed citations. Recurring topics across this work include interferon and immune responses (18 papers), Immune Response and Inflammation (18 papers), Toxoplasma gondii Research Studies (15 papers), Inflammasome and immune disorders (15 papers), Reproductive tract infections research (14 papers), Cytomegalovirus and herpesvirus research (11 papers), Immune Cell Function and Interaction (8 papers) and Escherichia coli research studies (7 papers). The work is most often cited by research in Parasitology (729 citations), Endocrinology (563 citations) and Microbiology (568 citations). Jörn Coers has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Gregory A. Taylor, Arun Kumar Haldar, Ryan Finethy, Craig R. Roy, Masahiro Yamamoto, Anthony L. Piro, Miriam Kutsch, William F. Dietrich, Edward A. Miao and Michael N. Starnbach. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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