Gérald Umhang

3.3k citations
82 papers · 2.0k · h-index 26

Impact in

Papers in

Gérald Umhang

80 papers receiving 2.0k citations

Peers

Gérald Umhang
Comparison fields: 5 of 77
  • Parasitology 983
  • Pathology and Forensic Medicine 1.3k
  • Infectious Diseases 436
  • Surgery 844
  • Urology 101
Replace Antonio Varcasia with:
Antonio Varcasia Italy
A. Scala Italy
P. Dubinský Slovakia
Anke Dinkel Germany
D.D. Heath New Zealand
Eduardo Guarnera Argentina
Jacek Karamon Poland
A. P. Pipia Italy
T. Sréter Hungary
Yasuhito Sako Japan
Gérald Umhang relative to Antonio Varcasia Italy Antonio Varcasia's profile →
Citations per field
00.5×1.5×1.8×
Antonio Varcasia · 1×
Citations per year

Countries citing papers authored by Gérald Umhang

Since Specialization
Citations

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

Fields of papers citing papers by Gérald Umhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014232
2 2017117
3 201797
4 201285
5 201865
6 201464
7 201463
8 202254
9 201651
10 201242
11 201641
12 201140
13 201539
14 201438
15 201837
16 201737
17 201336
18 201935
19 201434
20 201430

About Gérald Umhang

Gérald Umhang is a scholar working on Pathology and Forensic Medicine, Surgery, Parasitology, Ecology and Infectious Diseases, having authored 82 papers that have together received 2.0k indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (72 papers), Congenital Anomalies and Fetal Surgery (52 papers), Parasitic Infections and Diagnostics (44 papers), Parasite Biology and Host Interactions (25 papers), Urological Disorders and Treatments (5 papers), Vector-borne infectious diseases (5 papers), Viral Infections and Vectors (5 papers) and Climate Change, Adaptation, Migration (4 papers). The work is most often cited by research in Parasitology (983 citations), Pathology and Forensic Medicine (1.3k citations), Infectious Diseases (436 citations), Surgery (844 citations) and Urology (101 citations). Gérald Umhang has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Franck Boué, Jean-Marc Boucher, Jenny Knapp, Benoît Combes, Laurence Millon, Francis Raoul, Sébastien Comte, Céline Richomme, Sara Moutailler and Urmas Saarma. Their work appears in journals such as Parasitology Research, Parasitology, International Journal for Parasitology, Veterinary Parasitology and Pathogens.

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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