Gregory L. Moore

1.7k total citations
42 papers, 1.2k citations indexed

About

Gregory L. Moore is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, Gregory L. Moore has authored 42 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Immunology and 15 papers in Molecular Biology. Recurrent topics in Gregory L. Moore's work include Monoclonal and Polyclonal Antibodies Research (25 papers), CAR-T cell therapy research (10 papers) and Immunotherapy and Immune Responses (6 papers). Gregory L. Moore is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (25 papers), CAR-T cell therapy research (10 papers) and Immunotherapy and Immune Responses (6 papers). Gregory L. Moore collaborates with scholars based in United States, Canada and Bulgaria. Gregory L. Moore's co-authors include Costas D. Maranas, Greg A. Lazar, Sher Karki, Hsing Chen, Umesh S. Muchhal, John R. Desjarlais, Seung Y. Chu, Erik Pong, Stephen J. Benkovic and David E. Szymkowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Gregory L. Moore

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory L. Moore United States 18 649 639 432 318 89 42 1.2k
Kevin C. Lindquist United States 18 519 0.8× 487 0.8× 421 1.0× 325 1.0× 70 0.8× 25 1.0k
Silvia Crescioli United Kingdom 17 625 1.0× 625 1.0× 450 1.0× 464 1.5× 33 0.4× 33 1.3k
Irene Leung United States 13 621 1.0× 625 1.0× 444 1.0× 252 0.8× 56 0.6× 30 1.2k
Michael Kragh Denmark 23 488 0.8× 509 0.8× 318 0.7× 753 2.4× 31 0.3× 51 1.4k
Mehmet Kemal Tur Germany 19 388 0.6× 627 1.0× 367 0.8× 267 0.8× 35 0.4× 43 1.1k
Hanspeter Amstutz Switzerland 17 642 1.0× 1.0k 1.6× 277 0.6× 134 0.4× 100 1.1× 24 1.4k
Alicia M. Chenoweth United Kingdom 12 471 0.7× 444 0.7× 294 0.7× 220 0.7× 35 0.4× 21 872
Ryosuke Nakano Japan 15 864 1.3× 1.1k 1.7× 502 1.2× 200 0.6× 39 0.4× 75 1.6k
Rajasekharan Somasundaram United States 26 315 0.5× 869 1.4× 1.1k 2.6× 878 2.8× 42 0.5× 76 1.9k
Kay Stubenrauch Germany 16 883 1.4× 757 1.2× 446 1.0× 224 0.7× 61 0.7× 33 1.4k

Countries citing papers authored by Gregory L. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Gregory L. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory L. Moore. 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 Gregory L. Moore. The network helps show where Gregory L. Moore may publish in the future.

Co-authorship network of co-authors of Gregory L. Moore

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

All Works

20 of 20 papers shown
1.
Moore, Gregory L., Juan E. Diaz, Christine Bonzon, et al.. (2024). A B7-H3–Targeted CD28 Bispecific Antibody Enhances the Activity of Anti–PD-1 and CD3 T-cell Engager Immunotherapies. Molecular Cancer Therapeutics. 24(3). 331–344. 11 indexed citations
2.
Nisthal, Alex, Matthew A. Dragovich, Erik Pong, et al.. (2020). Abstract 5663: Affinity tuned XmAb®2+1 PSMA x CD3 bispecific antibodies demonstrate selective activity in prostate cancer models. Cancer Research. 80(16_Supplement). 5663–5663. 1 indexed citations
3.
Zafra, Christina L. Zuch de, Wendy Zhong, Matthew J. Bernett, et al.. (2019). Targeting Multiple Myeloma with AMG 424, a Novel Anti-CD38/CD3 Bispecific T-cell–recruiting Antibody Optimized for Cytotoxicity and Cytokine Release. Clinical Cancer Research. 25(13). 3921–3933. 99 indexed citations
4.
Hedvat, Michael, Christine Bonzon, Matthew J. Bernett, et al.. (2018). Abstract 2784: Simultaneous checkpoint-checkpoint or checkpoint-costimulatory receptor targeting with bispecific antibodies promotes enhanced human T cell activation. Cancer Research. 78(13_Supplement). 2784–2784. 7 indexed citations
5.
Moore, Gregory L., Matthew J. Bernett, Rumana Rashid, et al.. (2018). A robust heterodimeric Fc platform engineered for efficient development of bispecific antibodies of multiple formats. Methods. 154. 38–50. 49 indexed citations
6.
7.
Liu, Jing, Lin Xu, James Annis, et al.. (2016). Negative regulation of initial steps in skeletal myogenesis by mTOR and other kinases. Scientific Reports. 6(1). 20376–20376. 4 indexed citations
8.
9.
Bernett, Matthew J., Seung Y. Chu, Irene Leung, et al.. (2013). Immune suppression in cynomolgus monkeys by XPro9523. mAbs. 5(3). 384–396. 22 indexed citations
10.
Čemerski, Sašo, Seung Y. Chu, Gregory L. Moore, et al.. (2012). Suppression of mast cell degranulation through a dual-targeting tandem IgE–IgG Fc domain biologic engineered to bind with high affinity to FcγRIIb. Immunology Letters. 143(1). 34–43. 26 indexed citations
11.
Chu, Seung Y., Holly M. Horton, Erik Pong, et al.. (2012). Reduction of total IgE by targeted coengagement of IgE B-cell receptor and FcγRIIb with Fc-engineered antibody. Journal of Allergy and Clinical Immunology. 129(4). 1102–1115. 72 indexed citations
12.
Moore, Gregory L., Erik Pong, Duc-Hanh T. Nguyen, et al.. (2011). A novel bispecific antibody format enables simultaneous bivalent and monovalent co-engagement of distinct target antigens. mAbs. 3(6). 546–557. 89 indexed citations
13.
Moore, Gregory L., Hsing Chen, Sher Karki, & Greg A. Lazar. (2010). Engineered Fc variant antibodies with enhanced ability to recruit complement and mediate effector functions. mAbs. 2(2). 181–189. 193 indexed citations
14.
Chu, Seung Y., Igor Voštiar, Sher Karki, et al.. (2008). Inhibition of B cell receptor-mediated activation of primary human B cells by coengagement of CD19 and FcγRIIb with Fc-engineered antibodies. Molecular Immunology. 45(15). 3926–3933. 119 indexed citations
15.
Laing, Timothy, et al.. (2006). Capillary electrophoresis laser-induced fluorescence for screening combinatorial peptide libraries in assays of botulinum neurotoxin A. Journal of Chromatography B. 843(2). 240–246. 15 indexed citations
16.
Moore, Gregory L., et al.. (2006). IPRO: An Iterative Computational Protein Library Redesign and Optimization Procedure. Biophysical Journal. 90(11). 4167–4180. 43 indexed citations
17.
Moore, Gregory L.. (2005). Modeling and Optimization in Directed Evolution Protocols and Protein Engineering.
18.
Moore, Gregory L. & Costas D. Maranas. (2003). Identifying residue–residue clashes in protein hybrids by using a second-order mean-field approach. Proceedings of the National Academy of Sciences. 100(9). 5091–5096. 32 indexed citations
19.
Burgard, Anthony P., Gregory L. Moore, & Costas D. Maranas. (2001). Review of the TEIRESIAS-Based Tools of the IBM Bioinformatics and Pattern Discovery Group. Metabolic Engineering. 3(4). 285–288. 3 indexed citations
20.
Moore, Gregory L. & Costas D. Maranas. (2000). Modeling DNA Mutation and Recombination for Directed Evolution Experiments. Journal of Theoretical Biology. 205(3). 483–503. 47 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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