Shawn T. Wasilenko

1.1k citations
28 papers · 919 · h-index 15

Impact in

  • Hepatology top 2%
    • Liver Diseases and Immunity
  • Virology top 5%
    • Poxvirus research and outbreaks

Papers in

    • Liver Diseases and Immunity 14
    • Liver Disease and Transplantation 2
    • Poxvirus research and outbreaks 4

Shawn T. Wasilenko

28 papers receiving 888 citations

Peers

Shawn T. Wasilenko
Comparison fields: 5 of 55
  • Hepatology 344
  • Virology 208
  • Epidemiology 404
  • Genetics 224
  • Immunology 148
Replace Catharina Hultgren with:
Catharina Hultgren Sweden
Susan Smyk‐Pearson United States
Mike Piatak United States
Shinichi Asabe Japan
Tai‐An Cha United Kingdom
Susanne Schmolke Germany
Giovanna Peddis Italy
Yuji Hoshi Japan
Isabel Gallego Spain
Piero Egisto Valensin Italy
Shawn T. Wasilenko relative to Catharina Hultgren Sweden Catharina Hultgren's profile →
Citations per field
00.5×2×4×6×8.8×
Catharina Hultgren · 1×
Citations per year

Countries citing papers authored by Shawn T. Wasilenko

Since Specialization
Citations

This map shows the geographic impact of Shawn T. Wasilenko'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 Shawn T. Wasilenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn T. Wasilenko more than expected).

Fields of papers citing papers by Shawn T. Wasilenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shawn T. Wasilenko. 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 Shawn T. Wasilenko. The network helps show where Shawn T. Wasilenko may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003136
2 2015107
3 201690
4 200583
5 201081
6 200459
7 200848
8 200146
9 201346
10 201130
11 201428
12 200923
13 200422
14 200722
15 201418
16 200814
17 200914
18 202211
19 20249
20 20095

About Shawn T. Wasilenko

Shawn T. Wasilenko is a scholar working on Hepatology, Virology, Epidemiology, Genetics and Immunology, having authored 28 papers that have together received 919 indexed citations. Recurring topics across this work include Liver Diseases and Immunity (14 papers), Liver Disease Diagnosis and Treatment (5 papers), Poxvirus research and outbreaks (4 papers), Virus-based gene therapy research (4 papers), interferon and immune responses (3 papers), Cell death mechanisms and regulation (3 papers), Animal Virus Infections Studies (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Hepatology (344 citations), Virology (208 citations), Epidemiology (404 citations), Genetics (224 citations) and Immunology (148 citations). Shawn T. Wasilenko has collaborated with scholars based in Canada, Austria and United States. Frequent co-authors include Andrew L. Mason, Michèle Barry, Tara L. Stewart, Adrienne F. A. Meyers, Aldo J. Montaño‐Loza, Rahima A. Bhanji, Logan Banadyga, Michèle Barry, K. Lindor and Catherine Van Hulle Vincent. Their work appears in journals such as Alimentary Pharmacology & Therapeutics, Liver International, Journal of Virology, Retrovirology and Journal of Hepatology.

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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