Holger Mayta

29 papers receiving 751 citations

Peers

Holger Mayta
Comparison fields: 5 of 83
  • Parasitology 211
  • Infectious Diseases 277
  • Pathology and Forensic Medicine 237
  • Microbiology 70
  • Health Informatics 10
Replace M. Célard with:
M. Célard France
Juan Antonio Castillo Spain
Éva Thomas Canada
John A. D. Leake United States
M.W. McKendrick United Kingdom
Levent Doğancı Türkiye
S. Gatti Italy
Catherine F. Decker United States
Lewis M. Drusin United States
Asha Mary Abraham India
Holger Mayta relative to M. Célard France M. Célard's profile →
Citations per field
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Citations per year

Countries citing papers authored by Holger Mayta

Since Specialization
Citations

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

Fields of papers citing papers by Holger Mayta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200088
2 200078
3 201861
4 200761
5 199660
6 200450
7 201842
8 201741
9 202139
10 202028
11 201525
12 202122
13 201520
14 201817
15 201916
16 202115
17 200312
18 202111
19 200711
20 201811

About Holger Mayta

Holger Mayta is a scholar working on Infectious Diseases, Surgery, Pathology and Forensic Medicine, Parasitology and Epidemiology, having authored 30 papers that have together received 764 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (10 papers), Parasitic infections in humans and animals (9 papers), Congenital Anomalies and Fetal Surgery (7 papers), Parasitic Infections and Diagnostics (6 papers), Viral Infections and Immunology Research (5 papers), Virus-based gene therapy research (3 papers), Research on Leishmaniasis Studies (3 papers) and Phonocardiography and Auscultation Techniques (3 papers). The work is most often cited by research in Parasitology (211 citations), Infectious Diseases (277 citations), Pathology and Forensic Medicine (237 citations), Microbiology (70 citations) and Health Informatics (10 citations). Holger Mayta has collaborated with scholars based in Peru, United States and Japan. Frequent co-authors include Robert H. Gilman, Héctor H. Garcı́a, Armando E. González, Manuela Verástegui, Mayuko Saito, Iskra Tuero, M. Ruiz, Juan A. Jiménez, Mirko Zimic and Maritza Calderón. Their work appears in journals such as Journal of Clinical Microbiology, PLoS neglected tropical diseases, Molecular and Biochemical Parasitology, Clinical Infectious Diseases and Clinical Microbiology 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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