Juan M. Zapata

7.5k total citations · 1 hit paper
81 papers, 6.2k citations indexed

About

Juan M. Zapata is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Juan M. Zapata has authored 81 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 35 papers in Immunology and 24 papers in Cancer Research. Recurrent topics in Juan M. Zapata's work include Cell death mechanisms and regulation (28 papers), NF-κB Signaling Pathways (22 papers) and Chronic Lymphocytic Leukemia Research (16 papers). Juan M. Zapata is often cited by papers focused on Cell death mechanisms and regulation (28 papers), NF-κB Signaling Pathways (22 papers) and Chronic Lymphocytic Leukemia Research (16 papers). Juan M. Zapata collaborates with scholars based in United States, Spain and Germany. Juan M. Zapata's co-authors include John C. Reed, Shinichi Kitada, Stanisław Krajewski, Maryla Krajewska, Michael Andreeff, Hong‐Gang Wang, Shinichi Takayama, Ahmed Shabaik, Randy D. Gascoyne and Kate Welsh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Juan M. Zapata

81 papers receiving 6.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Expression of Apoptosis-Regulating Proteins in Chronic Lymphocytic Leukemia: Correlations With In Vitro and In Vivo Chemoresponses

1998 534 citations Shinichi Kitada, Juan M. Zapata et al. Blood profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Juan M. Zapata United States	44	4.0k	1.8k	1.4k	1.2k	1.0k	81	6.2k
Domenico Delia Italy	43	4.2k 1.1×	950 0.5×	2.5k 1.8×	1.2k 1.0×	447 0.4×	125	6.9k
David T. Weaver United States	49	6.5k 1.6×	1.4k 0.7×	2.6k 1.9×	1.3k 1.1×	437 0.4×	150	9.0k
Elizabeth W. Newcomb United States	43	3.4k 0.9×	1000 0.6×	2.6k 1.8×	1.5k 1.2×	1.9k 1.9×	81	6.5k
Luisa Lanfrancone Italy	38	4.9k 1.2×	1.2k 0.7×	1.6k 1.1×	813 0.7×	325 0.3×	95	7.8k
Ralph Schwall United States	48	6.1k 1.5×	1.4k 0.8×	2.7k 1.9×	1.2k 1.0×	402 0.4×	85	10.2k
Dan Grandér Sweden	50	3.9k 1.0×	1.4k 0.8×	1.7k 1.2×	1.9k 1.5×	670 0.7×	125	6.5k
Karen E. Pollok United States	38	2.7k 0.7×	1.6k 0.9×	1.7k 1.2×	671 0.5×	677 0.7×	142	5.6k
Simon N. Willis Australia	24	4.9k 1.2×	2.0k 1.1×	1.7k 1.2×	626 0.5×	351 0.3×	36	7.2k
Kurt Bommert Germany	35	3.1k 0.8×	1.2k 0.7×	1.8k 1.3×	1.0k 0.8×	323 0.3×	65	5.1k
Jonas A. Nilsson Sweden	38	5.5k 1.4×	1.5k 0.8×	2.0k 1.4×	2.1k 1.7×	319 0.3×	110	7.8k

Countries citing papers authored by Juan M. Zapata

Since Specialization

Citations

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

Fields of papers citing papers by Juan M. Zapata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan M. Zapata. 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 Juan M. Zapata. The network helps show where Juan M. Zapata may publish in the future.

Co-authorship network of co-authors of Juan M. Zapata

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

All Works

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20 of 20 papers shown

Rosa, Juan Vladimir de la, Carlos Tabraue, Zhiqiang Huang, et al.. (2024). Reprogramming of the LXRα Transcriptome Sustains Macrophage Secondary Inflammatory Responses. Advanced Science. 11(20). e2307201–e2307201. 2 indexed citations

Glez‐Vaz, Javier, Arantza Azpilikueta, María C. Ochoa, et al.. (2023). CD137 (4-1BB) requires physically associated cIAPs for signal transduction and antitumor effects. Science Advances. 9(33). eadf6692–eadf6692. 6 indexed citations

Domı́nguez, Juan Manuel, Gema Pérez-Chacón, María José Guillén, et al.. (2020). CD13 as a new tumor target for antibody-drug conjugates: validation with the conjugate MI130110. Journal of Hematology & Oncology. 13(1). 32–32. 19 indexed citations

Pérez-Chacón, Gema, Carolina Martínez‐Laperche, Beatriz Somovilla-Crespo, et al.. (2015). Indole-3-Carbinol Synergizes with and Restores Fludarabine Sensitivity in Chronic Lymphocytic Leukemia Cells Irrespective of p53 Activity and Treatment Resistances. Clinical Cancer Research. 22(1). 134–145. 7 indexed citations

Lorenzo, Claudia De, et al.. (2015). Efficient expression of bioactive murine IL12 as a self-processing P2A polypeptide driven by inflammation-regulated promoters in tumor cell lines. Cancer Gene Therapy. 22(11). 542–551. 3 indexed citations

Pérez-Chacón, Gema, Carolina Martínez‐Laperche, Beatriz Somovilla-Crespo, et al.. (2014). 39 Phytochemical indole-3-carbinol synergizes strongly with fludarabine and induces p53-dependent and -independent cell death in chronic lymphocytic leukemia cells irrespective of their IGHV mutation state and treatment resistances. European Journal of Cancer. 50. 18–18. 1 indexed citations

Pérez-Chacón, Gema, Cristóbal de los Rı́os, & Juan M. Zapata. (2014). Indole-3-carbinol induces cMYC and IAP-family downmodulation and promotes apoptosis of Epstein–Barr virus (EBV)-positive but not of EBV-negative Burkitt's lymphoma cell lines. Pharmacological Research. 89. 46–56. 15 indexed citations

Somovilla-Crespo, Beatriz, Manuel Alfonso-Pérez, Carlos Cuesta‐Mateos, et al.. (2013). Anti-CCR7 therapy exerts a potent anti-tumor activity in a xenograft model of human mantle cell lymphoma. Journal of Hematology & Oncology. 6(1). 89–89. 30 indexed citations

Zapata, Juan M., David Llobet‐Navàs, Maryla Krajewska, et al.. (2008). Lymphocyte-specific TRAF3 transgenic mice have enhanced humoral responses and develop plasmacytosis, autoimmunity, inflammation, and cancer. Blood. 113(19). 4595–4603. 40 indexed citations

10.

Bailly‐Maitre, Béatrice, Emilie A. Bard-Chapeau, Frédéric Luciano, et al.. (2007). Mice Lacking bi-1 Gene Show Accelerated Liver Regeneration. Cancer Research. 67(4). 1442–1450. 25 indexed citations

11.

Zapata, Juan M., Sophie Lefebvre, & John C. Reed. (2007). Targeting TRAFs for Therapeutic Intervention. Advances in experimental medicine and biology. 597. 188–201. 32 indexed citations

12.

Fukushima, Toru, Juan M. Zapata, Netai C. Singha, et al.. (2006). Critical Function for SIP, a Ubiquitin E3 Ligase Component of the β-Catenin Degradation Pathway, for Thymocyte Development and G1 Checkpoint. Immunity. 24(1). 29–39. 49 indexed citations

13.

Reed, John C., Kutbuddin S. Doctor, Ana M. Rojas, et al.. (2003). Comparative Analysis of Apoptosis and Inflammation Genes of Mice and Humans. Genome Research. 13(6b). 1376–1388. 97 indexed citations

14.

Zapata, Juan M., Maryla Krajewska, Stanisław Krajewski, et al.. (2000). TNFR-Associated Factor Family Protein Expression in Normal Tissues and Lymphoid Malignancies. The Journal of Immunology. 165(9). 5084–5096. 118 indexed citations

15.

Kitada, Shinichi, Juan M. Zapata, Michael Andreeff, & John C. Reed. (2000). Protein kinase inhibitors flavopiridol and 7-hydroxy-staurosporine down-regulate antiapoptosis proteins in B-cell chronic lymphocytic leukemia. Blood. 96(2). 393–397. 172 indexed citations

16.

Ye, Xin, Patrick Mehlen, Shahrooz Rabizadeh, et al.. (1999). TRAF Family Proteins Interact with the Common Neurotrophin Receptor and Modulate Apoptosis Induction. Journal of Biological Chemistry. 274(42). 30202–30208. 158 indexed citations

17.

Kitada, Shinichi, Maryla Krajewska, Xianhui Zhang, et al.. (1998). Expression and location of pro-apoptotic Bcl-2 family protein BAD in normal human tissues and tumor cell lines.. Europe PMC (PubMed Central). 152(1). 51–61. 96 indexed citations

18.

Takayama, Shinichi, S Krajewski, Maryla Krajewska, et al.. (1998). Expression and location of Hsp70/Hsc-binding anti-apoptotic protein BAG-1 and its variants in normal tissues and tumor cell lines.. PubMed. 58(14). 3116–31. 193 indexed citations

19.

Zapata, Juan M., Maryla Krajewska, Stanisław Krajewski, et al.. (1998). Expression of multiple apoptosis-regulatory genes in human breast cancer cell lines and primary tumors. Breast Cancer Research and Treatment. 47(2). 129–140. 98 indexed citations

20.

Krajewski, Stanisław, Juan M. Zapata, Maryla Krajewska, et al.. (1997). Immunohistochemical analysis of in vivo patterns of TRAF-3 expression, a member of the TNF receptor-associated factor family. The Journal of Immunology. 159(12). 5841–5852. 40 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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