H. Wege

2.6k citations
51 papers · 2.0k · h-index 24

Impact in

Papers in

H. Wege

51 papers receiving 1.9k citations

Peers

H. Wege
Comparison fields: 5 of 70
  • Animal Science and Zoology 1.5k
  • Infectious Diseases 1.5k
  • Virology 70
  • Genetics 368
  • Hepatology 98
Replace S. A. Stohlman with:
S. A. Stohlman United States
Kôsaku Fujiwara Japan
Thomas Gallagher United States
M M Lai United States
Damon Deming United States
Kim Hattermann Germany
Jürgen Haas United Kingdom
Erik Prentice United States
Christel Schwegmann‐Weßels Germany
Geoffrey H. Holm United States
H. Wege relative to S. A. Stohlman United States S. A. Stohlman's profile →
Citations per field
00.5×4.1×
S. A. Stohlman · 1×
Citations per year

Countries citing papers authored by H. Wege

Since Specialization
Citations

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

Fields of papers citing papers by H. Wege

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982310
2 1983237
3 1982121
4 1978108
5 198492
6 198187
7 198586
8 197879
9 197976
10 199165
11 197964
12 198855
13 200053
14 198549
15 198335
16 199335
17
Comparative analysis of coronavirus JHM-induced demyelinating encephalomyelitis in Lewis and Brown Norway rats.
198733
18 198332
19 198831
20 198128

About H. Wege

H. Wege is a scholar working on Infectious Diseases, Animal Science and Zoology, Neurology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 51 papers that have together received 2.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (35 papers), Animal Virus Infections Studies (28 papers), Viral gastroenteritis research and epidemiology (20 papers), Long-Term Effects of COVID-19 (5 papers), Virus-based gene therapy research (4 papers), Viral Infections and Immunology Research (4 papers), Virology and Viral Diseases (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Animal Science and Zoology (1.5k citations), Infectious Diseases (1.5k citations), Virology (70 citations), Genetics (368 citations) and Hepatology (98 citations). H. Wege has collaborated with scholars based in Germany, Slovakia and Austria. Frequent co-authors include Volker ter Meulen, Stuart G. Siddell, K Nagashima, Richard Meyermann, Rüdiger Dörries, Rihito Watanabe, Hans Lassmann, Albrecht Müller, Jörn Winter and Andrea Barthel. Their work appears in journals such as Journal of General Virology, Advances in experimental medicine and biology, Acta Neuropathologica, Current topics in microbiology and immunology and Journal of Neuroimmunology.

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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