D. Perner

521 citations
22 papers · 390 indexed · h-index 9

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

D. Perner

22 papers receiving 389 citations

Peers

D. Perner
Comparison fields: 5 of 30
  • Hepatology 355
  • Epidemiology 315
  • Infectious Diseases 108
  • Virology 12
  • Rheumatology 27
Replace K Ohba with:
K Ohba Japan
Zunaira Awan Pakistan
J. Albrecht United States
Arleta Kowala‐Piaskowska Poland
Atsushi Ozasa Japan
Dessislava I. Dimitrova United States
Rosanna Fontana Italy
J. H. Hoofnagle United States
Patricia Méndez United States
Antoaneta A. Markova Germany
D. Perner relative to K Ohba Japan K Ohba's profile →
Citations per field
00.5×4.5×
K Ohba · 1×
Citations per year

Countries citing papers authored by D. Perner

Since Specialization
Citations

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

Fields of papers citing papers by D. Perner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201187
2 201561
3 201653
4 201536
5 201333
6 201232
7 201327
8 201418
9 20158
10 20155
11 20124
12 20164
13 20124
14 20124
15 20163
16 20153
17 20132
18 20152
19 20151
20 20151

About D. Perner

D. Perner is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Virology and Rheumatology, having authored 22 papers that have together received 390 indexed citations. Recurring topics across this work include Hepatitis C virus research (20 papers), Hepatitis B Virus Studies (9 papers), HIV/AIDS drug development and treatment (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Systemic Lupus Erythematosus Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), HIV Research and Treatment (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Hepatology (355 citations), Epidemiology (315 citations), Infectious Diseases (108 citations), Virology (12 citations) and Rheumatology (27 citations). D. Perner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Christoph Sarrazin, S. Süsser, Stefan Zeuzem, Johannes Vermehren, Julia Dietz, Stefan Zeuzem, Martin Welker, Nicole Forestier, Gavin Cloherty and Kai‐Henrik Peiffer. Their work appears in journals such as Journal of Hepatology, PLoS ONE, Journal of Clinical Virology, Journal of Viral Hepatitis and Human Immunology.

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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