Umesh S. Muchhal

2.6k total citations
45 papers, 1.8k citations indexed

About

Umesh S. Muchhal is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Umesh S. Muchhal has authored 45 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Molecular Biology and 16 papers in Immunology. Recurrent topics in Umesh S. Muchhal's work include Monoclonal and Polyclonal Antibodies Research (29 papers), CAR-T cell therapy research (12 papers) and Glycosylation and Glycoproteins Research (8 papers). Umesh S. Muchhal is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (29 papers), CAR-T cell therapy research (12 papers) and Glycosylation and Glycoproteins Research (8 papers). Umesh S. Muchhal collaborates with scholars based in United States, Poland and South Korea. Umesh S. Muchhal's co-authors include Kashchandra G. Raghothama, José M. Pardo, Chunming Liu, Steven D. Schwartzbach, Andrzej K. Kononowicz, Gregory L. Moore, John R. Desjarlais, Seung Y. Chu, Matthew J. Bernett and Erik Pong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Umesh S. Muchhal

44 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Umesh S. Muchhal United States 20 847 597 379 306 292 45 1.8k
Sergey E. Sedykh Russia 14 332 0.4× 496 0.8× 225 0.6× 211 0.7× 113 0.4× 56 1.2k
Ichiro Kawashima Japan 24 241 0.3× 831 1.4× 170 0.4× 853 2.8× 458 1.6× 73 1.8k
Julie Catusse Germany 16 1.0k 1.2× 512 0.9× 33 0.1× 287 0.9× 354 1.2× 26 1.7k
Huabing Wang China 22 98 0.1× 430 0.7× 62 0.2× 470 1.5× 143 0.5× 97 1.6k
Kefei Yu United States 26 161 0.2× 1.8k 3.1× 108 0.3× 912 3.0× 300 1.0× 53 2.4k
Julie Auger United States 14 269 0.3× 276 0.5× 121 0.3× 876 2.9× 172 0.6× 22 2.0k
Sieglinde Angermüller Germany 11 131 0.2× 368 0.6× 87 0.2× 227 0.7× 47 0.2× 18 777
Shiri Klein Israel 21 313 0.4× 584 1.0× 27 0.1× 206 0.7× 245 0.8× 38 1.2k
Silke Hennecke Switzerland 12 101 0.1× 1.1k 1.9× 49 0.1× 161 0.5× 239 0.8× 12 1.8k

Countries citing papers authored by Umesh S. Muchhal

Since Specialization
Citations

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

Fields of papers citing papers by Umesh S. Muchhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umesh S. Muchhal. 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 Umesh S. Muchhal. The network helps show where Umesh S. Muchhal may publish in the future.

Co-authorship network of co-authors of Umesh S. Muchhal

This figure shows the co-authorship network connecting the top 25 collaborators of Umesh S. Muchhal. A scholar is included among the top collaborators of Umesh S. Muchhal 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 Umesh S. Muchhal. Umesh S. Muchhal 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
9.
Derer, Stefanie, Stefan Lohse, Katja Klausz, et al.. (2013). Increasing FcγRIIa affinity of an FcγRIII-optimized anti-EGFR antibody restores neutrophil-mediated cytotoxicity. mAbs. 6(2). 409–421. 46 indexed citations
10.
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
11.
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
12.
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
13.
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
14.
Bernett, Matthew J., Sher Karki, Gregory L. Moore, et al.. (2010). Engineering Fully Human Monoclonal Antibodies from Murine Variable Regions. Journal of Molecular Biology. 396(5). 1474–1490. 36 indexed citations
15.
Muchhal, Umesh S., et al.. (2001). LeGRP1: A new member of glycine‐rich proteins from tomato (Lycopersicon esculentum). Physiologia Plantarum. 113(1). 85–91. 1 indexed citations
16.
Sulli, Chidananda, Zhiwei Fang, Umesh S. Muchhal, & Steven D. Schwartzbach. (1999). Topology of Euglena Chloroplast Protein Precursors within Endoplasmic Reticulum to Golgi to Chloroplast Transport Vesicles. Journal of Biological Chemistry. 274(1). 457–463. 86 indexed citations
17.
Liu, Chunming, Umesh S. Muchhal, & Kashchandra G. Raghothama. (1997). Differential expression of TPS11, a phosphate starvation-induced gene in tomato. Plant Molecular Biology. 33(5). 867–874. 111 indexed citations
18.
Muchhal, Umesh S., Chunming Liu, & Kashchandra G. Raghothama. (1997). Ca2+-ATPase is expressed differentially in phosphate-starved roots of tomato. Physiologia Plantarum. 101(3). 540–544. 1 indexed citations
19.
20.
Muchhal, Umesh S. & Steven D. Schwartzbach. (1992). Characterization of a Euglena gene encoding a polyprotein precursor to the light-harvesting chlorophyll a/b-binding protein of photosystem II. Plant Molecular Biology. 18(2). 287–299. 57 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026