J Yeargin

619 total citations
10 papers, 509 citations indexed

About

J Yeargin is a scholar working on Oncology, Genetics and Immunology. According to data from OpenAlex, J Yeargin has authored 10 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 3 papers in Genetics and 3 papers in Immunology. Recurrent topics in J Yeargin's work include Cancer-related Molecular Pathways (6 papers), Virus-based gene therapy research (3 papers) and T-cell and Retrovirus Studies (2 papers). J Yeargin is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Virus-based gene therapy research (3 papers) and T-cell and Retrovirus Studies (2 papers). J Yeargin collaborates with scholars based in United States. J Yeargin's co-authors include Martin Haas, Michael Hsiao, David D. Ku, Candy Haggblom, Marguerite Vogt, Alice L. Yu, Jason Low, P K Pattengale, J Cheng and J K Yee and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

J Yeargin

10 papers receiving 500 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
J Yeargin United States	9	312	284	96	74	73	10	509
Antonio Lucena-Cacace Spain	14	365 1.2×	261 0.9×	31 0.3×	104 1.4×	27 0.4×	23	598
M. Ikeda Japan	4	386 1.2×	374 1.3×	27 0.3×	54 0.7×	22 0.3×	7	559
Yousuke Ueoka Japan	13	273 0.9×	188 0.7×	23 0.2×	78 1.1×	51 0.7×	19	503
Chaitanyananda B. Koppikar India	3	390 1.3×	421 1.5×	42 0.4×	174 2.4×	10 0.1×	3	645
Maren Mundt Germany	4	276 0.9×	409 1.4×	17 0.2×	98 1.3×	12 0.2×	5	608
D Soto United States	5	194 0.6×	164 0.6×	20 0.2×	80 1.1×	25 0.3×	6	350
Caroline Choisy-Rossi France	8	189 0.6×	139 0.5×	39 0.4×	52 0.7×	7 0.1×	8	348
Arunasalam Navaraj United States	12	337 1.1×	219 0.8×	27 0.3×	77 1.0×	18 0.2×	16	466
Thet Thet Lin United Kingdom	10	384 1.2×	142 0.5×	16 0.2×	71 1.0×	153 2.1×	13	743

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-authorship network of co-authors of J Yeargin

This figure shows the co-authorship network connecting the top 25 collaborators of J Yeargin. A scholar is included among the top collaborators of J Yeargin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J Yeargin. J Yeargin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Fiñones, Rita R., J Yeargin, Melissa Lee, et al.. (2013). Early Human Prostate Adenocarcinomas Harbor Androgen-Independent Cancer Cells. PLoS ONE. 8(9). e74438–e74438. 25 indexed citations

Vogt, Marguerite, et al.. (1998). Independent induction of senescence by p16INK4a and p21CIP1 in spontaneously immortalized human fibroblasts.. PubMed. 9(2). 139–46. 101 indexed citations

Yeargin, J & Martin Haas. (1995). Elevated levels of wild-type p53 induced by radiolabeling of cells leads to apoptosis or sustained growth arrest. Current Biology. 5(4). 423–431. 54 indexed citations

Hsiao, Michael, et al.. (1995). Dissemination and tissue invasiveness in murine acute leukemia associated with acquisition of p53 mutation and loss of wild‐type p53. Molecular Carcinogenesis. 13(2). 112–121. 4 indexed citations

Hsiao, Michael, Jason Low, David D. Ku, et al.. (1994). Gain-of-function mutations of the p53 gene induce lymphohematopoietic metastatic potential and tissue invasiveness.. PubMed. 145(3). 702–14. 112 indexed citations

Hsiao, Michael, Alice L. Yu, J Yeargin, David D. Ku, & Martin Haas. (1994). Nonhereditary p53 mutations in T-cell acute lymphoblastic leukemia are associated with the relapse phase. Blood. 83(10). 2922–2930. 70 indexed citations

Yeargin, J, J Cheng, Alice L. Yu, et al.. (1993). P53 mutation in acute T cell lymphoblastic leukemia is of somatic origin and is stable during establishment of T cell acute lymphoblastic leukemia cell lines.. Journal of Clinical Investigation. 91(5). 2111–2117. 22 indexed citations

Yeargin, J, Jian Cheng, & Martin Haas. (1992). Role of the p53 tumor suppressor gene in the pathogenesis and in the suppression of acute lymphoblastic T-cell leukemia.. PubMed. 6 Suppl 3. 85S–91S. 17 indexed citations

Cheng, J, J K Yee, J Yeargin, T Friedmann, & Martin Haas. (1992). Suppression of acute lymphoblastic leukemia by the human wild-type p53 gene.. PubMed. 52(1). 222–6. 59 indexed citations

10.

Gjerset, Ruth A., J Yeargin, Sarah K. Volkman, et al.. (1990). Insulin-like growth factor-I supports proliferation of autocrine thymic lymphoma cells with a pre-T cell phenotype.. The Journal of Immunology. 145(10). 3497–3501. 45 indexed citations

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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