Jack Lenz

4.4k citations
64 papers · 3.4k · h-index 31

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 2%
    • T-cell and Retrovirus Studies
    • Immune Cell Function and Interaction

Papers in

    • RNA and protein synthesis mechanisms 10
    • RNA Interference and Gene Delivery 6
    • T-cell and Retrovirus Studies 17
    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 7

Jack Lenz

64 papers receiving 3.2k citations

Peers

Jack Lenz
Comparison fields: 5 of 97
  • Virology 481
  • Immunology 980
  • Molecular Biology 1.8k
  • Genetics 718
  • Plant Science 737
Replace William S. Modi with:
William S. Modi United States
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Jacob Giehm Mikkelsen Denmark
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Citations per field
00.5×1.5×2.3×
William S. Modi · 1×
Citations per year

Countries citing papers authored by Jack Lenz

Since Specialization
Citations

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

Fields of papers citing papers by Jack Lenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack Lenz. 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 Jack Lenz. The network helps show where Jack Lenz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984293
2 2012281
3 2001278
4 1999199
5 2002187
6
Depletion of CD25(+) CD4(+) T cells and treatment with tyrosinase-related protein 2-transduced dendritic cells enhance the interferon alpha-induced, CD8(+) T-cell-dependent immune defense of B16 melanoma.
2001169
7 1982125
8 1991106
9 1985106
10 2007105
11 1989104
12 200391
13 200591
14 198787
15 201366
16 201157
17 200854
18 200651
19 199549
20 199548

About Jack Lenz

Jack Lenz is a scholar working on Molecular Biology, Immunology, Plant Science, Virology and Genetics, having authored 64 papers that have together received 3.4k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (17 papers), HIV Research and Treatment (11 papers), Virus-based gene therapy research (10 papers), Immune Cell Function and Interaction (10 papers), RNA and protein synthesis mechanisms (10 papers), Chromosomal and Genetic Variations (8 papers), T-cell and B-cell Immunology (7 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Virology (481 citations), Immunology (980 citations), Molecular Biology (1.8k citations), Genetics (718 citations) and Plant Science (737 citations). Jack Lenz has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include William A. Haseltine, S A Okenquist, R. Crowther, Kenneth K. Kídd, Mei Su, Corrado Baglioni, Michael I. Jensen‐Seaman, Roberto Patarca, Daniel W. Celander and Ari Zaiman. Their work appears in journals such as Journal of Virology, Current Biology, Biochemistry, PLoS ONE and Blood.

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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