John C. Byrd

683 total citations
10 papers, 142 citations indexed

About

John C. Byrd is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, John C. Byrd has authored 10 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in John C. Byrd's work include CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (3 papers) and Ubiquitin and proteasome pathways (2 papers). John C. Byrd is often cited by papers focused on CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (3 papers) and Ubiquitin and proteasome pathways (2 papers). John C. Byrd collaborates with scholars based in United States and Pakistan. John C. Byrd's co-authors include Natarajan Muthusamy, Michael A. Caligiuri, Aharon G. Freud, Stefan Costinean, Steven D. Scoville, Bethany L. Mundy-Bosse, Li Chen, Nicholas A. Zorko, Karilyn Larkin and Jianhua Yu and has published in prestigious journals such as Journal of Clinical Investigation, Blood and European Journal of Medicinal Chemistry.

In The Last Decade

John C. Byrd

10 papers receiving 140 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John C. Byrd United States	5	69	57	43	27	19	10	142
Stefanie Kreutmair Germany	9	88 1.3×	40 0.7×	49 1.1×	53 2.0×	15 0.8×	21	173
Long Kwei United States	8	48 0.7×	52 0.9×	62 1.4×	36 1.3×	15 0.8×	16	215
Devora Delman United States	6	91 1.3×	44 0.8×	72 1.7×	51 1.9×	15 0.8×	8	188
Júlia Aguadé-Gorgorió Switzerland	5	154 2.2×	35 0.6×	40 0.9×	61 2.3×	9 0.5×	7	198
Netha Ulahannan United States	4	154 2.2×	27 0.5×	51 1.2×	21 0.8×	51 2.7×	8	210
Guillermo Garcia-Manero United States	5	90 1.3×	18 0.3×	44 1.0×	97 3.6×	17 0.9×	14	216
Xiuhua Su China	7	109 1.6×	56 1.0×	39 0.9×	46 1.7×	9 0.5×	15	189
Tobias Roider Germany	8	67 1.0×	79 1.4×	62 1.4×	18 0.7×	39 2.1×	19	175
Olga Stehlíková Czechia	7	51 0.7×	52 0.9×	22 0.5×	42 1.6×	40 2.1×	14	146

Countries citing papers authored by John C. Byrd

Since Specialization

Citations

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

Fields of papers citing papers by John C. Byrd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John C. Byrd

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Byrd. A scholar is included among the top collaborators of John C. Byrd 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 John C. Byrd. John C. Byrd 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

Wang, Lingling, et al.. (2023). A CD3 humanized mouse model unmasked unique features of T-cell responses to bispecific antibody treatment. Blood Advances. 8(2). 470–481. 4 indexed citations

Reed, Andrew, et al.. (2023). Bifunctional degraders of cyclin dependent kinase 9 (CDK9): Probing the relationship between linker length, properties, and selective protein degradation. European Journal of Medicinal Chemistry. 254. 115342–115342. 15 indexed citations

Muthusamy, Natarajan, et al.. (2023). Examination of the Impact of Triazole Position within Linkers on Solubility and Lipophilicity of a CDK9 Degrader Series. ACS Medicinal Chemistry Letters. 14(7). 936–942. 4 indexed citations

Chen, Yi, Stephen P. Anthony, Yu Chen, et al.. (2021). Characterization of LP-118, a Novel Small Molecule Inhibitor of Bcl-2 and Bcl-Xl in Chronic Lymphocytic Leukemia Resistant to Venetoclax. Blood. 138(Supplement 1). 679–679. 9 indexed citations

McMichael, Elizabeth L., Megan Duggan, Robert Wesolowski, et al.. (2017). Activation of the FcgammaReceptorIIIa on human natural killer cells leads to increased expression of functional interleukin-21 receptor. OncoImmunology. 6(5). e1312045–e1312045. 4 indexed citations

Mundy-Bosse, Bethany L., Steven D. Scoville, Li Chen, et al.. (2016). MicroRNA-29b mediates altered innate immune development in acute leukemia. Journal of Clinical Investigation. 126(12). 4404–4416. 55 indexed citations

Alinari, Lapo, Emilia Mahoney, John T. Patton, et al.. (2011). FTY720 increases CD74 expression and sensitizes mantle cell lymphoma cells to milatuzumab-mediated cell death. Blood. 118(26). 6893–6903. 42 indexed citations

Biswas, Sabyasachi, Andrew P. Mone, Chandan K. Sen, Natarajan Muthusamy, & John C. Byrd. (2004). Arsenic Trioxide and Ascorbic Acid Enhances the Cytotoxicity of Hu1D10 towards CLL Cells.. Blood. 104(11). 3479–3479. 1 indexed citations

Drabick, Joseph J., Brad J. Davis, Jack Lichy, Julie Flynn, & John C. Byrd. (2002). Human herpesvirus 8 genome is not found in whole bone marrow core biopsy specimens of patients with plasma cell dyscrasias. Annals of Hematology. 81(6). 304–307. 4 indexed citations

10.

Byrd, John C., et al.. (1997). Leukemic thyroiditis as the initial relapsing sign in a patient with acute lymphocytic leukemia and blast expression of the neural cell adhesion molecule. American Journal of Hematology. 55(4). 212–215. 4 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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