Peter Lens

1.3k citations
16 papers · 1.1k · h-index 12

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • Lipid Membrane Structure and Behavior 3
    • Advanced biosensing and bioanalysis techniques 2
    • Molecular Biology Techniques and Applications 2
    • HIV Research and Treatment 4

Peter Lens

15 papers receiving 1.0k citations

Peers

Peter Lens
Comparison fields: 5 of 85
  • Virology 371
  • Infectious Diseases 395
  • Epidemiology 366
  • Hepatology 61
  • Parasitology 41
Replace Sanjeev Gumber with:
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Steven W. de Taeye Netherlands
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Peter Lens relative to Sanjeev Gumber United States Sanjeev Gumber's profile →
Citations per field
00.5×1.5×1.9×
Sanjeev Gumber · 1×
Citations per year

Countries citing papers authored by Peter Lens

Since Specialization
Citations

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

Fields of papers citing papers by Peter Lens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1991320
2 1989190
3 1994177
4 1993106
5 199362
6 198156
7 198745
8 199341
9 198620
10 198016
11 198214
12 198212
13 19837
14 19952
15 19982
16
RAPID DETECTION OF HUMAN CYTOMEGALOVIRUS DNA IN PERIPHERAL BLOOD LEUKOCYTE OF VIREMIC TRANSPLANTS BY THE POLYMERASE CHAIN REACTION
19891

About Peter Lens

Peter Lens is a scholar working on Molecular Biology, Virology, Epidemiology, Immunology and Condensed Matter Physics, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), Lipid Membrane Structure and Behavior (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Bacteriophages and microbial interactions (2 papers), Molecular Biology Techniques and Applications (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Algal biology and biofuel production (2 papers) and Micro and Nano Robotics (2 papers). The work is most often cited by research in Virology (371 citations), Infectious Diseases (395 citations), Epidemiology (366 citations), Hepatology (61 citations) and Parasitology (41 citations). Peter Lens has collaborated with scholars based in Netherlands, United Kingdom and Switzerland. Frequent co-authors include Bob van Gemen, Tim Kievits, Dianne van Strijp, R Schukkink, Roy Sooknanan, Henriëtte Adriaanse, Suzanne Jurriaans, Han G. Huisman, Rinie van Beuningen and F. E. Zwaan. Their work appears in journals such as Archives of Microbiology, Biologicals, AIDS, Planta and AIDS Research and Human Retroviruses.

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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