J C Pena

1.2k total citations
9 papers, 1.0k citations indexed

About

J C Pena is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, J C Pena has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in J C Pena's work include Cell death mechanisms and regulation (4 papers), T-cell and B-cell Immunology (4 papers) and Cancer-related Molecular Pathways (3 papers). J C Pena is often cited by papers focused on Cell death mechanisms and regulation (4 papers), T-cell and B-cell Immunology (4 papers) and Cancer-related Molecular Pathways (3 papers). J C Pena collaborates with scholars based in United States and Switzerland. J C Pena's co-authors include Craig B. Thompson, Craig B. Thompson, Charles M. Rudin, F W Alt, Averil Ma, Bliss Chang, Laurie A. Davidson, S. Treter, C Schick and Gary A. Silverman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

In The Last Decade

J C Pena

9 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J C Pena United States 9 511 455 254 210 115 9 1.0k
Bellinda A. Bladergroen Netherlands 17 399 0.8× 471 1.0× 200 0.8× 156 0.7× 92 0.8× 19 1.0k
B E Elliott Canada 17 571 1.1× 382 0.8× 351 1.4× 187 0.9× 101 0.9× 29 1.2k
Sazuku Nisitani Japan 17 485 0.9× 730 1.6× 242 1.0× 148 0.7× 103 0.9× 20 1.4k
C. Henne Germany 10 737 1.4× 551 1.2× 310 1.2× 124 0.6× 76 0.7× 15 1.2k
Iris Dallmann Germany 17 480 0.9× 366 0.8× 376 1.5× 266 1.3× 41 0.4× 34 984
Tom Kay Australia 7 932 1.8× 710 1.6× 309 1.2× 162 0.8× 140 1.2× 9 1.6k
Alexey M. Chumakov United States 18 727 1.4× 446 1.0× 348 1.4× 203 1.0× 72 0.6× 32 1.3k
Wim Vos Netherlands 19 483 0.9× 413 0.9× 560 2.2× 205 1.0× 59 0.5× 24 1.2k
Kevin B. Leslie Canada 12 494 1.0× 335 0.7× 236 0.9× 141 0.7× 57 0.5× 16 919
Paul Chuchana France 21 763 1.5× 364 0.8× 195 0.8× 326 1.6× 57 0.5× 47 1.4k

Countries citing papers authored by J C Pena

Since Specialization
Citations

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

Fields of papers citing papers by J C Pena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J C Pena

This figure shows the co-authorship network connecting the top 25 collaborators of J C Pena. A scholar is included among the top collaborators of J C Pena 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 C Pena. J C Pena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Zhou, Yun-Ping, J C Pena, Michael W. Roe, et al.. (2000). Overexpression of Bcl-xLin β-cells prevents cell death but impairs mitochondrial signal for insulin secretion. American Journal of Physiology-Endocrinology and Metabolism. 278(2). E340–E351. 94 indexed citations
2.
Pena, J C, Craig B. Thompson, Wendy Recant, Everett E. Vokes, & Charles M. Rudin. (1999). Bcl-xL and Bcl-2 expression in squamous cell carcinoma of the head and neck. Cancer. 85(1). 164–170. 101 indexed citations
3.
Pena, J C, Charles M. Rudin, & Craig B. Thompson. (1998). A Bcl-xL transgene promotes malignant conversion of chemically initiated skin papillomas.. PubMed. 58(10). 2111–6. 55 indexed citations
4.
Pena, J C, E. Fuchs, & Craig B. Thompson. (1997). Bcl-x expression influences keratinocyte cell survival but not terminal differentiation.. PubMed. 8(6). 619–29. 62 indexed citations
5.
Grillot, Didier, Ramón Merino, J C Pena, et al.. (1996). bcl-x exhibits regulated expression during B cell development and activation and modulates lymphocyte survival in transgenic mice.. The Journal of Experimental Medicine. 183(2). 381–391. 166 indexed citations
6.
Riva, Agostino, et al.. (1996). Bcl-x rather than Bcl-2 mediates CD40-dependent centrocyte survival in the germinal center. Blood. 88(4). 1359–1364. 86 indexed citations
7.
Ma, Averil, J C Pena, Bliss Chang, et al.. (1995). Bclx regulates the survival of double-positive thymocytes.. Proceedings of the National Academy of Sciences. 92(11). 4763–4767. 220 indexed citations
8.
Schneider, Sandra, C Schick, Elizabeth M. Miller, et al.. (1995). A serine proteinase inhibitor locus at 18q21.3 contains a tandem duplication of the human squamous cell carcinoma antigen gene.. Proceedings of the National Academy of Sciences. 92(8). 3147–3151. 228 indexed citations
9.
Tatsumi, Yoichi, J C Pena, Louis A. Matis, Dominick DeLuca, & Jeffrey A. Bluestone. (1993). Development of T cell receptor-gamma delta cells. Phenotypic and functional correlations of T cell receptor-gamma delta thymocyte maturation.. The Journal of Immunology. 151(6). 3030–3041. 23 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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