Michael L. Washburn

708 citations
13 papers · 546 indexed · 1 hit paper · h-index 11
Topics
Immune Response and Inflammation (6 papers)Influenza Virus Research Studies (3 papers)Liver Disease Diagnosis and Treatment (3 papers)

In The Last Decade

Michael L. Washburn

13 papers receiving 542 citations

Hit Papers

A Humanized Mouse Model to Study Hepatitis C Virus Infect...2011202620162021201150100150200

Peers

Michael L. Washburn
Comparison fields: 5 of 60
  • Immunology 250
  • Epidemiology 218
  • Hepatology 175
  • Molecular Biology 120
  • Genetics 79
Replace Lucy Golden-Mason with:
Lucy Golden-Mason United States
Simon Hellier United Kingdom
Guillemette Masse‐Ranson France
Antony Chen United States
Kerstin A. Stegmann United Kingdom
Yuji Sobao Japan
Ramy El–Diwany United States
Rachel Latanich United States
Zhi Q. Yao United States
Paula J. Biesta Netherlands
Michael L. Washburn relative to Lucy Golden-Mason United States Lucy Golden-Mason's profile →
Citations per field
00.5×2.6×
Lucy Golden-Mason · 1×
Citations per year

Countries citing papers authored by Michael L. Washburn

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Washburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael L. Washburn

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Washburn. A scholar is included among the top collaborators of Michael L. Washburn 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 Michael L. Washburn. Michael L. Washburn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 12
2 17
3 8
4 38
5 15
6 12
7 26
8 20
9 60
10
A Humanized Mouse Model to Study Hepatitis C Virus Infection, Immune Response, and Liver Diseasebreakdown →
220
11 6
12 24
13 88

About Michael L. Washburn

Michael L. Washburn is a scholar working on Immunology, Hepatology and Virology, having authored 13 papers that have together received 546 indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), Influenza Virus Research Studies (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (175 citations), Virology (71 citations) and Immunology (250 citations). Michael L. Washburn has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Lishan Su, Kovalev Gi, Liguo Zhang, Moses T. Bility, Adam Buntzman, J. A. Frelinger, Charles M. Rice, Alexander Ploß, Rui Wang and Jerry Jeffrey. Their work appears in journals such as Blood, The Journal of Immunology and Gastroenterology.

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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