Michael Heß

11.8k citations
280 papers · 8.5k indexed · 2 hit papers · h-index 47

Michael Heß

269 papers receiving 8.2k citations

Hit Papers

ICTV Virus Taxonomy Pro...1502012202620162021250500750

Peers

Michael Heß
Comparison fields: 5 of 197
  • Animal Science and Zoology 2.7k
  • Microbiology 725
  • Small Animals 823
  • Parasitology 709
  • Infectious Diseases 2.0k
Replace Lorne A. Babiuk with:
Lorne A. Babiuk Canada
Peter M. H. Heegaard Denmark
Martin F. Bachmann Switzerland
Bali Pulendran United States
Akiko Iwasaki United States
David Ferguson United Kingdom
Herbert W. Virgin United States
Robert W. Finberg United States
Derek T. O’Hagan United States
Cheol‐Heui Yun South Korea
Michael Heß relative to Lorne A. Babiuk Canada Lorne A. Babiuk's profile →
Citations per field
00.5×12×
Lorne A. Babiuk · 1×
Citations per year

Countries citing papers authored by Michael Heß

Since Specialization
Citations

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

Fields of papers citing papers by Michael Heß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20236
3 20235
4 20232
5 20237
6 20234
7 20239
8 20223
9 201912
10 201711
11
Emergence of fatal histomonosis in meat turkey flocks in Austria from 2014 to 2016.
20173
12 20150
13 201416
14 201161
15 201114
16
Pathomorphological investigations on wild birds during the winter season 2005/2006.
20102
17 200813
18 200779
19 2005100
20
EXTRANS, AN ANSWER EXTRACTION SYSTEM
200019

About Michael Heß

Michael Heß is a scholar working on Animal Science and Zoology, Small Animals, Parasitology, Microbiology and Infectious Diseases, having authored 280 papers that have together received 8.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (50 papers), Veterinary medicine and infectious diseases (47 papers), Coccidia and coccidiosis research (44 papers), Viral gastroenteritis research and epidemiology (37 papers), Parasitic Infections and Diagnostics (35 papers), Animal Virus Infections Studies (29 papers), Animal Nutrition and Physiology (26 papers) and Salmonella and Campylobacter epidemiology (25 papers). The work is most often cited by research in Animal Science and Zoology (2.7k citations), Microbiology (725 citations), Small Animals (823 citations), Parasitology (709 citations) and Infectious Diseases (2.0k citations). Michael Heß has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Claudia Hess, Wageha A. Awad, Dieter Liebhart, Ivana Bilić, Anna Schachner, Beatrice Grafl, Ana Marek, Przemysław Kubisa, Karl‐Heinz Hellwich and Yoshiharu Doi. Their work appears in journals such as Avian Pathology, Avian Diseases, PLoS ONE, Pure and Applied Chemistry and Macromolecular Symposia.

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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