Lori Pearson

450 citations
9 papers · 411 · h-index 9

Impact in

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

Papers in

    • HIV Research and Treatment 4
    • DNA and Nucleic Acid Chemistry 3
    • Genomics and Chromatin Dynamics 3
    • CRISPR and Genetic Engineering 2
    • RNA and protein synthesis mechanisms 1

Lori Pearson

9 papers receiving 390 citations

Peers

Lori Pearson
Comparison fields: 5 of 34
  • Virology 240
  • Genetics 69
  • Oncology 41
  • Molecular Biology 107
  • Cancer Research 17
Replace Laurence Cagnon with:
Laurence Cagnon United States
Daniela Rohne United States
Michael S. Kraft Germany
Michèle Himmelspach Austria
Anna L. Ramsey-Ewing United States
Dennis A. Sheeter United States
Raoul Raffel France
Lang Xia Liu France
Dan Irwin United States
Jana L. Blackett United States
Lori Pearson relative to Laurence Cagnon United States Laurence Cagnon's profile →
Citations per field
00.5×1.5×1.9×
Laurence Cagnon · 1×
Citations per year

Countries citing papers authored by Lori Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Lori Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Lori Pearson, 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 Lori Pearson Line = papers co-authored together Lori Pearson links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1988173
2 199089
3 199046
4 198934
5 199428
6 199412
7 199410
8 199710
9 19969

About Lori Pearson

Lori Pearson is a scholar working on Virology, Molecular Biology, Genetics, Cancer Research and Oncology, having authored 9 papers that have together received 411 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Genomics and Chromatin Dynamics (3 papers), Bacterial Genetics and Biotechnology (2 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (1 paper), Metal complexes synthesis and properties (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Virology (240 citations), Genetics (69 citations), Oncology (41 citations), Molecular Biology (107 citations) and Cancer Research (17 citations). Lori Pearson has collaborated with scholars based in United States. Frequent co-authors include Richard B. Gaynor, Joseph A. Garcia, David Harrich, Ronald T. Mitsuyasu, F. K. Wu, David S. Sigman, Jay A. Nelson, Nidia M. Modesti, John Lewis Williams and José Ángel García. Their work appears in journals such as The EMBO Journal, Biochemistry, Journal of the American Chemical Society, Gene and Journal of Virology.

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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