Jan Hellert

753 citations
13 papers · 369 indexed · h-index 11

Impact in

  • Virology top 10%
    • Rabies epidemiology and control
    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research

Papers in

    • Rabies epidemiology and control 2
    • Viral Infections and Outbreaks Research 4
    • Viral Infections and Vectors 4

Jan Hellert

13 papers receiving 362 citations

Peers

Jan Hellert
Comparison fields: 5 of 38
  • Virology 75
  • Infectious Diseases 151
  • Agronomy and Crop Science 65
  • Ecology, Evolution, Behavior and Systematics 97
  • Oncology 110
Replace Huiyong Wei with:
Huiyong Wei United States
Christine Brandmüller Germany
Jonathan C. Guito United States
Fusako Ikeda Japan
Martha J. Lewis United States
C C Marchioli United States
Jocelyn Turpin France
Asna A. Siddiqui United Kingdom
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S. Nicoll United Kingdom
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Citations per field
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Huiyong Wei · 1×
Citations per year

Countries citing papers authored by Jan Hellert

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hellert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201378
2 201556
3 201950
4 202244
5 202234
6 202032
7 202226
8 202311
9 201810
10 202310
11 201910
12 20144
13 20104

About Jan Hellert

Jan Hellert is a scholar working on Virology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Parasitology and Epidemiology, having authored 13 papers that have together received 369 indexed citations. Recurring topics across this work include Vector-Borne Animal Diseases (5 papers), Viral Infections and Outbreaks Research (4 papers), Viral Infections and Vectors (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Viral-associated cancers and disorders (3 papers), Rabies epidemiology and control (2 papers), interferon and immune responses (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Virology (75 citations), Infectious Diseases (151 citations), Agronomy and Crop Science (65 citations), Ecology, Evolution, Behavior and Systematics (97 citations) and Oncology (110 citations). Jan Hellert has collaborated with scholars based in Germany, France and United States. Frequent co-authors include J. Krausze, Thomas F. Schulz, Thorsten Lührs, Magdalena Weidner-Glunde, Christiane Ritter, F.A. Rey, Martin Beer, Ahmed Haouz, Pablo Guardado‐Calvo and Guilherme Dias de Melo. Their work appears in journals such as Nature Communications, PLoS Pathogens, Science, Current Opinion in Virology and Cell Reports.

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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