Scott J. Patterson

1.1k total citations
18 papers, 865 citations indexed

About

Scott J. Patterson is a scholar working on Epidemiology, Hepatology and Immunology. According to data from OpenAlex, Scott J. Patterson has authored 18 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Hepatology and 6 papers in Immunology. Recurrent topics in Scott J. Patterson's work include Hepatitis B Virus Studies (8 papers), Hepatitis C virus research (8 papers) and Immune Cell Function and Interaction (6 papers). Scott J. Patterson is often cited by papers focused on Hepatitis B Virus Studies (8 papers), Hepatitis C virus research (8 papers) and Immune Cell Function and Interaction (6 papers). Scott J. Patterson collaborates with scholars based in Australia, Canada and United States. Scott J. Patterson's co-authors include Megan K. Levings, Peter Angus, Jonathan M. Han, Simone I. Strasser, Geoffrey W. McCaughan, Edward Gane, Madeleine Speck, Jan A. Ehses, Jacob George and Stuart K. Roberts and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and PLoS ONE.

In The Last Decade

Scott J. Patterson

17 papers receiving 851 citations

Peers

Scott J. Patterson
Comparison fields: 5 of 78
  • Epidemiology 469
  • Hepatology 367
  • Immunology 278
  • Molecular Biology 146
  • Infectious Diseases 84
Replace John Napoli with:
John Napoli Australia
Yoshihiro Aiba Japan
Mirko Moreno Zaldivar Germany
K.‐H. Meyer zum Büschenfelde Germany
Patricia M. Niemietz Germany
Eliana Persico Italy
C. Giannini Italy
Alice Miles United Kingdom
Marzena Swiderska United States
Germana Grassi Italy
John Napoli Australia View profile →
Citations per field, relative to Scott J. Patterson
Scott J. Patterson · 1×
Citations per year, relative to Scott J. Patterson
Scott J. Patterson · 1×

Countries citing papers authored by Scott J. Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Scott J. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott J. Patterson. 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 Scott J. Patterson. The network helps show where Scott J. Patterson may publish in the future.

Co-authorship network of co-authors of Scott J. Patterson

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 4
3 58
4 8
5 55
6 130
7
Tenofovir Rescue Therapy Achieves Long-Term Suppression of HBV Replication in Patients with Multi-Drug Resistant HBV: 4 Year Follow-Up of the TDF109 Cohort
3
8 94
9 68
10 58
11 7
12 153
13 1
14 59
15 17
16 26
17 118
18
Evaluating the Blacksburg Electronic Village
6

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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