Leno Thomas

417 citations
8 papers · 324 · h-index 7

Impact in

    • Lung Cancer Research Studies
    • Viral-associated cancers and disorders
    • Polyomavirus and related diseases

Papers in

    • Polyomavirus and related diseases 2
    • Viral-associated cancers and disorders 2
    • Lung Cancer Research Studies 2
    • Acute Myeloid Leukemia Research 2

Leno Thomas

8 papers receiving 312 citations

Peers

Leno Thomas
Comparison fields: 5 of 61
  • Oncology 138
  • Gastroenterology 19
  • Pulmonary and Respiratory Medicine 112
  • Hematology 35
  • Infectious Diseases 41
Replace Silvia Salvatori with:
Silvia Salvatori Italy
I Koza Slovakia
Lorena Azócar Chile
Rimma Goldberg Australia
Matilde Ingrosso Italy
Semin Ayhan Türkiye
Takayuki Jodai Japan
Sang-Gon Park South Korea
Yuta Fuyuno Japan
Chuanliang Peng China
Leno Thomas relative to Silvia Salvatori Italy Silvia Salvatori's profile →
Citations per field
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Citations per year

Countries citing papers authored by Leno Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Leno Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Leno Thomas, 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 Leno Thomas Line = papers co-authored together Leno Thomas links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2005137
2 200364
3 200444
4 200744
5 200419
6 20088
7 20056
8 20212

About Leno Thomas

Leno Thomas is a scholar working on Oncology, Hematology, Epidemiology, Molecular Biology and Genetics, having authored 8 papers that have together received 324 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Polyomavirus and related diseases (2 papers), Viral-associated cancers and disorders (2 papers), Lung Cancer Research Studies (2 papers), Cancer Genomics and Diagnostics (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Oncology (138 citations), Gastroenterology (19 citations), Pulmonary and Respiratory Medicine (112 citations), Hematology (35 citations) and Infectious Diseases (41 citations). Leno Thomas has collaborated with scholars based in United States and Grenada. Frequent co-authors include Martin J. Edelman, L. Austin Doyle, Hong‐Bin Fang, Ivana Gojo, Aaron P. Rapoport, Vincent C. Arena, Yi Ning, Thomas F. Imperiale, Judith Stamberg and Young Kwok. Their work appears in journals such as Journal of Clinical Oncology, Journal of Thoracic Oncology, Lung Cancer, Digestive Diseases and Sciences and American Journal of Hematology.

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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