James J. McSharry

1.9k citations
51 papers · 1.5k indexed · h-index 25
Topics
Virus-based gene therapy research (14 papers)Respiratory viral infections research (11 papers)Influenza Virus Research Studies (9 papers)
Partner nations
United StatesCanadaIndia

In The Last Decade

James J. McSharry

51 papers receiving 1.3k citations

Peers

James J. McSharry
Comparison fields: 5 of 111
  • Epidemiology 755
  • Molecular Biology 357
  • Infectious Diseases 316
  • Genetics 280
  • Immunology 193
Replace J. C. S. Clegg with:
J. C. S. Clegg United Kingdom
Masahiro Niikura Japan
W. J. McAleer United States
Valerie Le Sage United States
R. S. Daniels United Kingdom
Matthew Brecher United States
Gregory A. Tannock Australia
Alberto Severini Canada
M. R. Hilleman United States
K. Nerome Japan
James J. McSharry relative to J. C. S. Clegg United Kingdom J. C. S. Clegg's profile →
Citations per field
00.5×1.6×
J. C. S. Clegg · 1×
Citations per year

Countries citing papers authored by James J. McSharry

Since Specialization
Citations

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

Fields of papers citing papers by James J. McSharry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James J. McSharry

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 14
3
Pharmacodynamics of Raltegravir, an HIV Integrase Inhibitor, in an In Vitro Hollow Fiber Infection Model System
4
4 108
5 24
6 4
7 6
8 24
9 12
10 28
11 3
12 43
13 28
14 6
15 14
16 24
17 30
18
PROTEINS OF VESICULAR STOMATITIS VIRUS (VSV) AND OF PHENOTYPICALLY-MIXED VSV-SV5 VIRIONS.
2
19 29
20 6

About James J. McSharry

James J. McSharry is a scholar working on Virology, Epidemiology and Genetics, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (14 papers), Respiratory viral infections research (11 papers) and Influenza Virus Research Studies (9 papers). The work is most often cited by research in Virology (140 citations), Epidemiology (755 citations) and Infectious Diseases (316 citations). James J. McSharry has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Robert R. Wagner, Purnell W. Choppin, Lawrence A. Caliguiri, Richard W. Compans, George L. Drusano, Rolf Benzinger, Hans J. Eggers, Jack Nguyen, Ashley N. Brown and Robert Kulawy. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Experimental Medicine and Journal of Clinical Oncology.

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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