Donna M. Tscherne

3.5k citations
15 papers · 2.1k indexed · 2 hit papers · h-index 12
Topics
Influenza Virus Research Studies (6 papers)Respiratory viral infections research (5 papers)Hepatitis B Virus Studies (5 papers)

In The Last Decade

Donna M. Tscherne

15 papers receiving 2.1k citations

Hit Papers

Claudin-1 is a hepatitis C virus co-receptor required for...200620262012201920072006250500750

Peers

Donna M. Tscherne
Comparison fields: 5 of 87
  • Epidemiology 1.3k
  • Hepatology 1000
  • Molecular Biology 476
  • Immunology 331
  • Infectious Diseases 317
Replace Laurence Cocquerel with:
Laurence Cocquerel France
Franziska Lechner Switzerland
Pantelis Poumbourios Australia
Erik Depla Belgium
Laurent Meertens France
Alissa M. Lancaster United States
Domenico Rosa Italy
Michael D. Robek United States
Bertrand Boson France
Marco Binder Germany
Donna M. Tscherne relative to Laurence Cocquerel France Laurence Cocquerel's profile →
Citations per field
00.5×1.5×
Laurence Cocquerel · 1×
Citations per year

Countries citing papers authored by Donna M. Tscherne

Since Specialization
Citations

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

Fields of papers citing papers by Donna M. Tscherne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna M. Tscherne. 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 Donna M. Tscherne. The network helps show where Donna M. Tscherne may publish in the future.

Co-authorship network of co-authors of Donna M. Tscherne

This figure shows the co-authorship network connecting the top 25 collaborators of Donna M. Tscherne. A scholar is included among the top collaborators of Donna M. Tscherne based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donna M. Tscherne. Donna M. Tscherne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 7
2 21
3 151
4 264
5 11
6 2
7 74
8 57
9 10
10 124
11
Claudin-1 is a hepatitis C virus co-receptor required for a late step in entrybreakdown →
930
12 18
13
Time- and Temperature-Dependent Activation of Hepatitis C Virus for Low-pH-Triggered Entrybreakdown →
310
14 96
15 40

About Donna M. Tscherne

Donna M. Tscherne is a scholar working on Hepatology, Epidemiology and Agronomy and Crop Science, having authored 15 papers that have together received 2.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Respiratory viral infections research (5 papers) and Hepatitis B Virus Studies (5 papers). The work is most often cited by research in Hepatology (1000 citations), Epidemiology (1.3k citations) and Virology (150 citations). Donna M. Tscherne has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Charles M. Rice, Matthew J. Evans, Jane A. McKeating, Adolfo Garcı́a-Sastre, Thomas von Hahn, Benno Wölk, Maryline Panis, Paul D. Bieniasz, Andrew J. Syder and Théodora Hatziioannou. Their work appears in journals such as Nature, Journal of Clinical Investigation and Journal of Virology.

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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