Eric Derby

622 total citations
10 papers, 485 citations indexed

About

Eric Derby is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Eric Derby has authored 10 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 2 papers in Oncology. Recurrent topics in Eric Derby's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Pluripotent Stem Cells Research (2 papers). Eric Derby is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Pluripotent Stem Cells Research (2 papers). Eric Derby collaborates with scholars based in United States. Eric Derby's co-authors include Mahendra S. Rao, Wu Ma, Mark P. Mattson, Anatoli Malyguine, Michael Baseler, Thomas J. Sayers, Kimberly Shafer-Weaver, Susan Strobl, Edward L. Nelson and William Kopp and has published in prestigious journals such as The Journal of Immunology, Biological Psychiatry and International Immunology.

In The Last Decade

Eric Derby

10 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Derby United States	9	228	175	87	78	65	10	485
Seyed Abdolreza Mortazavi‐Tabatabaei Iran	14	287 1.3×	132 0.8×	54 0.6×	56 0.7×	71 1.1×	19	578
Gennadiy Bondarenko United States	11	397 1.7×	131 0.7×	48 0.6×	53 0.7×	74 1.1×	19	672
Caroline Spenlé France	17	318 1.4×	109 0.6×	64 0.7×	84 1.1×	107 1.6×	27	654
Jacqueline A. Quandt Canada	13	215 0.9×	311 1.8×	37 0.4×	46 0.6×	84 1.3×	28	765
Naoko Yoshimura Japan	12	300 1.3×	61 0.3×	36 0.4×	64 0.8×	56 0.9×	23	510
Kiyomi Taniguchi Japan	8	757 3.3×	135 0.8×	47 0.5×	125 1.6×	57 0.9×	12	924
Wing Y. Chang Canada	17	544 2.4×	66 0.4×	110 1.3×	33 0.4×	92 1.4×	30	765
Giovanni A. Botten United States	11	390 1.7×	63 0.4×	99 1.1×	55 0.7×	30 0.5×	20	595
Betty Y. Zhou United States	10	374 1.6×	57 0.3×	48 0.6×	33 0.4×	28 0.4×	11	580
Matteo A. Molè United Kingdom	11	357 1.6×	127 0.7×	70 0.8×	41 0.5×	23 0.4×	13	633

Countries citing papers authored by Eric Derby

Since Specialization

Citations

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

Fields of papers citing papers by Eric Derby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Derby

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Derby. A scholar is included among the top collaborators of Eric Derby 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 Derby. Eric Derby 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

Xu, X.Z. Shawn, Eric Derby, Yvonne Reid, et al.. (2009). Self-renewal and differentiation capabilities are variable between human embryonic stem cell lines I3, I6 and BG01V. BMC Cell Biology. 10(1). 44–44. 42 indexed citations

Altar, C. Anthony, Rachel Hunt, Linda W. Jurata, et al.. (2008). Insulin, IGF-1, and Muscarinic Agonists Modulate Schizophrenia-associated Genes in Human Neuroblastoma Cells. Biological Psychiatry. 64(12). 1077–1087. 39 indexed citations

Ma, Wu, et al.. (2008). Cell-extracellular matrix interactions regulate neural differentiation of human embryonic stem cells. BMC Developmental Biology. 8(1). 90–90. 190 indexed citations

Shafer-Weaver, Kimberly, Thomas J. Sayers, Susan Strobl, et al.. (2003). The Granzyme B ELISPOT assay: an alternative to the 51Cr-release assay for monitoring cell-mediated cytotoxicity. Journal of Translational Medicine. 1(1). 14–14. 96 indexed citations

Malyguine, Anatoli, et al.. (2002). Study of diverse mechanisms of cell-mediated cytotoxicity in gene-targeted mice using flow cytometric cytotoxicity assay. Immunology Letters. 83(1). 55–59. 8 indexed citations

Derby, Eric, Edward L. Nelson, William C. Kopp, et al.. (2001). CORRELATION OF HUMAN CD56+CELL CYTOTOXICITY AND IFN-γ PRODUCTION. Cytokine. 13(2). 85–90. 18 indexed citations

Derby, Eric, William Kopp, Edward L. Nelson, et al.. (2001). Three-color flow cytometric assay for the study of the mechanisms of cell-mediated cytotoxicity. Immunology Letters. 78(1). 35–39. 56 indexed citations

Derby, Eric, et al.. (2001). Flow Cytometric Assay for the Simultaneous Analysis of Cell-Mediated Cytotoxicity and Effector Cell Phenotype. BioTechniques. 31(3). 660–665. 11 indexed citations

Kenny, James J., Eric Derby, Jeffrey A. Yoder, et al.. (2000). Positive and negative selection of antigen-specific B cells in transgenic mice expressing variant forms of the VH1 (T15) heavy chain. International Immunology. 12(6). 873–885. 10 indexed citations

10.

Kenny, James J., et al.. (1995). Ig gamma 2b transgenes promote B cell development but alternate developmental pathways appear to function in different transgenic lines.. The Journal of Immunology. 154(11). 5694–5705. 15 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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