John A. Howe

3.0k citations
52 papers · 2.1k · h-index 24

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Genetics top 2%
    • Virus-based gene therapy research

Papers in

John A. Howe

52 papers receiving 2.0k citations

Peers

John A. Howe
Comparison fields: 5 of 100
  • Virology 200
  • Genetics 938
  • Hepatology 239
  • Oncology 573
  • Molecular Biology 1.2k
Replace Sabrina Schreiner with:
Sabrina Schreiner Germany
J Galabru France
Ronald Ellis United States
Beihua Dong United States
Christine L. White United States
Ivan N. Shatsky Russia
Joseph P. Davide United States
Chris Boutell United Kingdom
Wolfgang Resch United States
James J. Crute United States
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Citations per field
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Citations per year

Countries citing papers authored by John A. Howe

Since Specialization
Citations

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

Fields of papers citing papers by John A. Howe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Howe. 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 John A. Howe. The network helps show where John A. Howe may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988202
2 1990187
3 1995157
4 1989144
5 2001121
6 1988104
7 199288
8 201887
9 199687
10 198885
11 201778
12 200873
13 201658
14 201358
15 201252
16 200845
17
Adenoviral-mediated expression of a kinase-dead mutant of Akt induces apoptosis selectively in tumor cells and suppresses tumor growth in mice.
200345
18 201038
19 201337
20 200133

About John A. Howe

John A. Howe is a scholar working on Infectious Diseases, Molecular Biology, Genetics, Hepatology and Oncology, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (14 papers), HIV/AIDS drug development and treatment (13 papers), Hepatitis C virus research (10 papers), CAR-T cell therapy research (7 papers), RNA Interference and Gene Delivery (5 papers), Respiratory viral infections research (5 papers), HIV Research and Treatment (5 papers) and Biochemical and Molecular Research (5 papers). The work is most often cited by research in Virology (200 citations), Genetics (938 citations), Hepatology (239 citations), Oncology (573 citations) and Molecular Biology (1.2k citations). John A. Howe has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stanley T. Bayley, Cay Egan, Philip E. Branton, Tony N. Jelsma, John W. Newport, S. T. Bayley, Joe S. Mymryk, B Ferguson, Michael Howell and Tim Hunt. Their work appears in journals such as Virology, Journal of Hepatology, Journal of Paleontology, Journal of Virology and Molecular and Cellular Biology.

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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