J Heesemann

7.1k citations
107 papers · 5.7k indexed · h-index 43

Impact in

Papers in

    • Escherichia coli research studies 15
    • Vibrio bacteria research studies 10
    • Pharmacological Effects of Natural Compounds 20

J Heesemann

107 papers receiving 5.5k citations

Peers

J Heesemann
Comparison fields: 5 of 114
  • Endocrinology 2.2k
  • Parasitology 876
  • Infectious Diseases 1.8k
  • Pharmacology 761
  • Genetics 2.1k
Replace Mikael Skurnik with:
Mikael Skurnik Finland
Susan L. Welkos United States
Andreas Roggenkamp Germany
S L Moseley United States
Giovanna Morelli Germany
Andreas Sing Germany
P. Gemski United States
Jon D. Goguen United States
Rainer Laufs Germany
Helmut Hahn Germany
J Heesemann relative to Mikael Skurnik Finland Mikael Skurnik's profile →
Citations per field
00.5×1.5×
Mikael Skurnik · 1×
Citations per year

Countries citing papers authored by J Heesemann

Since Specialization
Citations

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

Fields of papers citing papers by J Heesemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200921
2 20085
3 200631
4 200520
5 2003231
6 200137
7 20007
8 199885
9 19956
10 199487
11 199436
12 199476
13 199480
14 199335
15 199212
16 19912
17 199114
18 199141
19 198954
20 19885

About J Heesemann

J Heesemann is a scholar working on Endocrinology, Pharmacology, Parasitology, Genetics and Infectious Diseases, having authored 107 papers that have together received 5.7k indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (57 papers), Pharmacological Effects of Natural Compounds (20 papers), Bacillus and Francisella bacterial research (19 papers), Escherichia coli research studies (15 papers), Clostridium difficile and Clostridium perfringens research (13 papers), Bacteriophages and microbial interactions (11 papers), Immune Response and Inflammation (10 papers) and Vibrio bacteria research studies (10 papers). The work is most often cited by research in Endocrinology (2.2k citations), Parasitology (876 citations), Infectious Diseases (1.8k citations), Pharmacology (761 citations) and Genetics (2.1k citations). J Heesemann has collaborated with scholars based in Germany, Finland and France. Frequent co-authors include Helge Karch, Uwe Groß, Herbert Schmidt, Andreas Roggenkamp, Rainer Laufs, Ingo B. Autenrieth, Wolfgang Bohne, Sören Schubert, Alexander Rakin and Holger Rüssmann. Their work appears in journals such as Infection and Immunity, Medical Microbiology and Immunology, Journal of Clinical Microbiology, Annals of the Rheumatic Diseases and Infection.

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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