Thomas Boyer

895 citations
17 papers · 686 · h-index 10

Impact in

  • Aging top 10%
  • Genetics top 10%
    • Virus-based gene therapy research
    • Estrogen and related hormone effects
    • BRCA gene mutations in cancer

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Genomics and Chromatin Dynamics 2
    • Ubiquitin and proteasome pathways 1
    • Estrogen and related hormone effects 3
    • Virus-based gene therapy research 3

Thomas Boyer

16 papers receiving 675 citations

Peers

Thomas Boyer
Comparison fields: 5 of 63
  • Aging 21
  • Genetics 296
  • Geriatrics and Gerontology 25
  • Molecular Biology 443
  • Oncology 125
Replace Nadine Pelletier with:
Nadine Pelletier Canada
Noriko Shikama Switzerland
Xia Huang China
Raghavendra A. Shamanna United States
Isabel Ruppen Spain
Maja Studencka‐Turski Germany
Ping-Yao Zeng United States
James X. Du United States
Dae‐Won Kim South Korea
Kathryn E. Dickerson United States
Thomas Boyer relative to Nadine Pelletier Canada Nadine Pelletier's profile →
Citations per field
00.5×3.5×
Nadine Pelletier · 1×
Citations per year

Countries citing papers authored by Thomas Boyer

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Boyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1999247
2 2001175
3 199375
4 200757
5 200629
6 199027
7 202316
8 202414
9 202313
10 202210
11 20227
12 20215
13 20244
14 20223
15 20192
16 20122
17 20240

About Thomas Boyer

Thomas Boyer is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Hematology, having authored 17 papers that have together received 686 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Estrogen and related hormone effects (3 papers), Virus-based gene therapy research (3 papers), Acute Myeloid Leukemia Research (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Genomics and Chromatin Dynamics (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Aging (21 citations), Genetics (296 citations), Geriatrics and Gerontology (25 citations), Molecular Biology (443 citations) and Oncology (125 citations). Thomas Boyer has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Arnold Berk, Robert P. Ricciardi, Emma Lees, Lei Zheng, Wen‐Hwa Lee, Lois A. Annab, Cynthia A. Afshari, Nam Hee Kim, Se Jin Kim and Lynne E. Maquat. Their work appears in journals such as Cells, The FASEB Journal, Cell Reports, The Journal of Clinical Endocrinology & Metabolism and Proceedings of the National Academy of Sciences.

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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