Jack Lenz

4.4k citations
64 papers · 3.4k indexed · 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

    • HIV Research and Treatment 11
    • 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 503
  • Immunology 1.0k
  • Molecular Biology 1.9k
  • Genetics 743
  • Plant Science 739
Replace Harold E Varmus with:
Harold E Varmus United States
Robert B. DuBridge United States
Kathleen Weston United Kingdom
Friedrich A. Grässer Germany
H J Kung United States
James C. Neil United Kingdom
Stephen P. Goff United States
William S. Modi United States
Jacob Giehm Mikkelsen Denmark
W S Hayward United States
Jack Lenz relative to Harold E Varmus United States Harold E Varmus's profile →
Citations per field
00.5×2.6×
Harold E Varmus · 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-authorship network

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
#Work
1 20241
2 20227
3 20194
4 201316
5 201025
6 2007105
7 200650
8 200434
9 2002188
10 200211
11 2001276
12 20014
13 19997
14 19993
15 1999199
16 199918
17 199720
18 199240
19 19914
20
Phosphorylated sugars stimulate protein synthesis and initiator methionyl transfer rna binding activity in extracts of mammalian cells
19781

About Jack Lenz

Jack Lenz is a scholar working on Virology, Immunology, Molecular Biology, Genetics and Pathology and Forensic Medicine, 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), RNA and protein synthesis mechanisms (11 papers), HIV Research and Treatment (11 papers), Virus-based gene therapy research (10 papers), Immune Cell Function and Interaction (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 (503 citations), Immunology (1.0k citations), Molecular Biology (1.9k citations), Genetics (743 citations) and Plant Science (739 citations). Jack Lenz has collaborated with scholars based in United States, France and Netherlands. 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, Biochemistry, Current Biology, JAIDS Journal of Acquired Immune Deficiency Syndromes and Nature.

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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