Eric Alonzo

1.1k total citations
9 papers, 866 citations indexed

About

Eric Alonzo is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Eric Alonzo has authored 9 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Oncology and 3 papers in Hematology. Recurrent topics in Eric Alonzo's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and CAR-T cell therapy research (2 papers). Eric Alonzo is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers) and CAR-T cell therapy research (2 papers). Eric Alonzo collaborates with scholars based in United States and France. Eric Alonzo's co-authors include Derek B. Sant’Angelo, Pier Paolo Pandolfi, Damián Kovalovsky, Robin M. Hobbs, Hye Jung Kim, Woelsung Yi, Kevin Chua, Kim E. Nichols, Martha S. Jordan and Gary A. Koretzky 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

Eric Alonzo

9 papers receiving 862 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Alonzo United States	8	738	186	140	43	37	9	866
Donggou He United States	6	508 0.7×	216 1.2×	116 0.8×	30 0.7×	26 0.7×	8	698
Alessandro Moretta Italy	9	784 1.1×	401 2.2×	121 0.9×	38 0.9×	27 0.7×	10	890
Sayo Kataoka Japan	12	380 0.5×	83 0.4×	143 1.0×	59 1.4×	25 0.7×	21	577
Gleb Turchinovich United Kingdom	11	708 1.0×	94 0.5×	118 0.8×	21 0.5×	79 2.1×	13	819
Hoainam Nguyen-Jackson United States	7	360 0.5×	188 1.0×	104 0.7×	53 1.2×	23 0.6×	8	530
Rita J. Luther United States	7	537 0.7×	111 0.6×	121 0.9×	27 0.6×	11 0.3×	8	637
Lauren A. Pitt United States	6	464 0.6×	166 0.9×	216 1.5×	134 3.1×	15 0.4×	8	734
Bettina Storch Germany	6	493 0.7×	127 0.7×	278 2.0×	58 1.3×	21 0.6×	9	724
E.Y. Woo United States	3	808 1.1×	463 2.5×	106 0.8×	23 0.5×	25 0.7×	7	948
Kei Haniuda Japan	11	449 0.6×	70 0.4×	147 1.1×	27 0.6×	21 0.6×	22	607

Countries citing papers authored by Eric Alonzo

Since Specialization

Citations

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

Fields of papers citing papers by Eric Alonzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Alonzo

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

All Works

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9 of 9 papers shown

Thompson, Ethan, Yue Jiang, Timothy Campbell, et al.. (2019). Markers of Initial and Long-Term Responses to Idecabtagene Vicleucel (Ide-Cel; bb2121) in the CRB-401 Study in Relapsed/Refractory Multiple Myeloma. Blood. 134(Supplement_1). 4328–4328. 3 indexed citations

Alonzo, Eric & Derek B. Sant’Angelo. (2011). Development of PLZF-expressing innate T cells. Current Opinion in Immunology. 23(2). 220–227. 72 indexed citations

Gill, Jonathan, Eric Alonzo, Chingwen Yang, et al.. (2011). The Paf oncogene is essential for hematopoietic stem cell function and development. The Journal of Experimental Medicine. 208(9). 1757–1765. 18 indexed citations

Gordon, Scott M., Shannon A. Carty, Jiyeon S. Kim, et al.. (2011). Requirements for Eomesodermin and Promyelocytic Leukemia Zinc Finger in the Development of Innate-Like CD8+ T Cells. The Journal of Immunology. 186(8). 4573–4578. 54 indexed citations

Kovalovsky, Damián, et al.. (2010). PLZF Induces the Spontaneous Acquisition of Memory/Effector Functions in T Cells Independently of NKT Cell-Related Signals. The Journal of Immunology. 184(12). 6746–6755. 72 indexed citations

Kim, Hyejung, Eric Alonzo, Guillaume Dorothée, Jeffrey W. Pollard, & Derek B. Sant’Angelo. (2010). Selective Depletion of Eosinophils or Neutrophils in Mice Impacts the Efficiency of Apoptotic Cell Clearance in the Thymus. PLoS ONE. 5(7). e11439–e11439. 43 indexed citations

Alonzo, Eric, Rachel A. Gottschalk, Joy Das, et al.. (2009). Development of Promyelocytic Zinc Finger and ThPOK-Expressing Innate γδ T Cells Is Controlled by Strength of TCR Signaling and Id3. The Journal of Immunology. 184(3). 1268–1279. 127 indexed citations

Kovalovsky, Damián, Robin M. Hobbs, Woelsung Yi, et al.. (2008). The BTB–zinc finger transcriptional regulator PLZF controls the development of invariant natural killer T cell effector functions. Nature Immunology. 9(9). 1055–1064. 433 indexed citations

Fong, Sylvia, Leslie C. Mounkes, Yong Liu, et al.. (2003). Functional identification of distinct sets of antitumor activities mediated by the FKBP gene family. Proceedings of the National Academy of Sciences. 100(24). 14253–14258. 44 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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