J Yeargin

619 citations
10 papers · 509 · h-index 9

Impact in

Papers in

    • Cancer-related Molecular Pathways 6
    • Cancer Cells and Metastasis 2
    • Virus-based gene therapy research 3

J Yeargin

10 papers receiving 500 citations

Peers

J Yeargin
Comparison fields: 5 of 60
  • Biotechnology 96
  • Oncology 284
  • Aging 13
  • Cancer Research 74
  • Molecular Biology 312
Replace Antonio Lucena-Cacace with:
Antonio Lucena-Cacace Spain
M. Ikeda Japan
Benjamin L. Bryson United States
S Fredersdorf United Kingdom
Yousuke Ueoka Japan
Elizabeth Moskatel United States
Sophia X. Pfister United Kingdom
Arunasalam Navaraj United States
Allison Goldberg United States
J Yeargin relative to Antonio Lucena-Cacace Spain Antonio Lucena-Cacace's profile →
Citations per field
00.5×3.3×
Antonio Lucena-Cacace · 1×
Citations per year

Countries citing papers authored by J Yeargin

Since Specialization
Citations

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

Fields of papers citing papers by J Yeargin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Gain-of-function mutations of the p53 gene induce lymphohematopoietic metastatic potential and tissue invasiveness.
1994112
2
Independent induction of senescence by p16INK4a and p21CIP1 in spontaneously immortalized human fibroblasts.
1998101
3 199470
4
Suppression of acute lymphoblastic leukemia by the human wild-type p53 gene.
199259
5 199554
6 199045
7 201325
8 199322
9
Role of the p53 tumor suppressor gene in the pathogenesis and in the suppression of acute lymphoblastic T-cell leukemia.
199217
10 19954

About J Yeargin

J Yeargin is a scholar working on Oncology, Genetics, Immunology, Public Health, Environmental and Occupational Health and Biotechnology, having authored 10 papers that have together received 509 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Virus-based gene therapy research (3 papers), Cancer Research and Treatments (2 papers), T-cell and Retrovirus Studies (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Cancer Cells and Metastasis (2 papers), Lymphoma Diagnosis and Treatment (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Biotechnology (96 citations), Oncology (284 citations), Aging (13 citations), Cancer Research (74 citations) and Molecular Biology (312 citations). J Yeargin has collaborated with scholars based in United States. Frequent co-authors include Martin Haas, Michael Hsiao, David D. Ku, Marguerite Vogt, Candy Haggblom, Alice L. Yu, P K Pattengale, Jason Low, J Cheng and J K Yee. Their work appears in journals such as Molecular Carcinogenesis, Journal of Clinical Investigation, The Journal of Immunology, Current Biology and PLoS ONE.

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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