Rajkumar Ganesan

1.8k total citations
37 papers, 1.3k citations indexed

About

Rajkumar Ganesan is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rajkumar Ganesan has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Immunology and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rajkumar Ganesan's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Glycosylation and Glycoproteins Research (7 papers) and Cell death mechanisms and regulation (5 papers). Rajkumar Ganesan is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Glycosylation and Glycoproteins Research (7 papers) and Cell death mechanisms and regulation (5 papers). Rajkumar Ganesan collaborates with scholars based in United States, Switzerland and France. Rajkumar Ganesan's co-authors include Daniel Kirchhofer, Sanjaya Singh, Iqbal S. Grewal, Sundee Dees, Charles Eigenbrot, Markus G. Grütter, Michael T. Lipari, Peer R. E. Mittl, Menno van Lookeren Campagne and Wei‐Ching Liang 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

Rajkumar Ganesan

37 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajkumar Ganesan United States 22 618 400 321 219 131 37 1.3k
Steven Pirie‐Shepherd United States 19 815 1.3× 190 0.5× 356 1.1× 144 0.7× 398 3.0× 36 1.4k
Marla Weetall United States 18 795 1.3× 154 0.4× 164 0.5× 142 0.6× 97 0.7× 70 1.2k
Naoki Watanabe Japan 21 527 0.9× 380 0.9× 220 0.7× 72 0.3× 124 0.9× 72 1.2k
Andreas Menrad Germany 20 682 1.1× 267 0.7× 513 1.6× 280 1.3× 206 1.6× 30 1.5k
Doreen LePage United States 11 450 0.7× 163 0.4× 291 0.9× 131 0.6× 85 0.6× 24 888
Aïcha Demidem France 21 544 0.9× 333 0.8× 250 0.8× 273 1.2× 207 1.6× 50 1.5k
Pjotr Knyazev Germany 21 1.0k 1.7× 742 1.9× 664 2.1× 144 0.7× 226 1.7× 30 1.9k
Martin Schlesinger Germany 20 586 0.9× 242 0.6× 590 1.8× 89 0.4× 287 2.2× 40 1.4k
Debra M. Hunter United States 19 538 0.9× 677 1.7× 376 1.2× 104 0.5× 63 0.5× 31 1.3k
Masatake Hara Japan 16 730 1.2× 1.3k 3.2× 1.1k 3.4× 124 0.6× 125 1.0× 30 2.7k

Countries citing papers authored by Rajkumar Ganesan

Since Specialization
Citations

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

Fields of papers citing papers by Rajkumar Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajkumar Ganesan

This figure shows the co-authorship network connecting the top 25 collaborators of Rajkumar Ganesan. A scholar is included among the top collaborators of Rajkumar Ganesan 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 Rajkumar Ganesan. Rajkumar Ganesan 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.
Ganesan, Rajkumar, et al.. (2022). AbDiver: a tool to explore the natural antibody landscape to aid therapeutic design. Bioinformatics. 38(9). 2628–2630. 11 indexed citations
2.
Borrok, M. Jack, Yonghai Li, Jun Chen, et al.. (2022). Conduit CAR: Redirecting CAR T-Cell Specificity with A Universal and Adaptable Bispecific Antibody Platform. Cancer Research Communications. 2(3). 146–157. 9 indexed citations
3.
Zwolak, Adam, Szeman Ruby Chan, Anthony A. Armstrong, et al.. (2022). A stable, engineered TL1A ligand co-stimulates T cells via specific binding to DR3. Scientific Reports. 12(1). 20538–20538. 5 indexed citations
4.
Castellana, Natalie, et al.. (2021). INDI—integrated nanobody database for immunoinformatics. Nucleic Acids Research. 50(D1). D1273–D1281. 37 indexed citations
5.
Ganesan, Rajkumar, Vijaykumar Chennupati, Balaji Ramachandran, et al.. (2021). Selective recruitment of γδ T cells by a bispecific antibody for the treatment of acute myeloid leukemia. Leukemia. 35(8). 2274–2284. 49 indexed citations
6.
Jiao, Qun, Tong‐Yuan Yang, M. Jack Borrok, et al.. (2021). Bifunctional molecules targeting SARS-CoV-2 spike and the polymeric Ig receptor display neutralization activity and mucosal enrichment. mAbs. 13(1). 1987180–1987180. 4 indexed citations
7.
Zwolak, Adam, et al.. (2020). Discovery and characterization of single-domain antibodies for polymeric Ig receptor-mediated mucosal delivery of biologics. mAbs. 12(1). 1708030–1708030. 9 indexed citations
8.
Dees, Sundee, Rajkumar Ganesan, Sanjaya Singh, & Iqbal S. Grewal. (2020). Bispecific Antibodies for Triple Negative Breast Cancer. Trends in cancer. 7(2). 162–173. 44 indexed citations
9.
Dees, Sundee, Rajkumar Ganesan, Sanjaya Singh, & Iqbal S. Grewal. (2020). Regulatory T cell targeting in cancer: Emerging strategies in immunotherapy. European Journal of Immunology. 51(2). 280–291. 82 indexed citations
10.
Dees, Sundee, Rajkumar Ganesan, Sanjaya Singh, & Iqbal S. Grewal. (2020). Emerging CAR-T Cell Therapy for the Treatment of Triple-Negative Breast Cancer. Molecular Cancer Therapeutics. 19(12). 2409–2421. 78 indexed citations
11.
Diem, Michael, Kevin Boyé, Gordon Powers, et al.. (2020). High-Throughput Generation of Bipod (Fab × scFv) Bispecific Antibodies Exploits Differential Chain Expression and Affinity Capture. Scientific Reports. 10(1). 7557–7557. 18 indexed citations
12.
Yi, Guanghui, Joel A. Ybe, Siddhartha Saha, et al.. (2016). Structural and Functional Attributes of the Interleukin-36 Receptor. Journal of Biological Chemistry. 291(32). 16597–16609. 39 indexed citations
13.
Saha, Siddhartha, Divyendu Singh, Ernest Raymond, et al.. (2015). Signal Transduction and Intracellular Trafficking by the Interleukin 36 Receptor. Journal of Biological Chemistry. 290(39). 23997–24006. 24 indexed citations
14.
Trivedi, Neil N., Wilfred W. Raymond, Rajkumar Ganesan, et al.. (2013). Mutational Tail Loss Is an Evolutionary Mechanism for Liberating Marapsins and Other Type I Serine Proteases from Transmembrane Anchors. Journal of Biological Chemistry. 288(15). 10588–10598. 5 indexed citations
15.
Ganesan, Rajkumar, et al.. (2013). Human Resource Management in Construction - A comparison with Traditional Approach. 7(4). 1 indexed citations
16.
Ganesan, Rajkumar, et al.. (2012). An allosteric anti-hepsin antibody derived from a constrained phage display library. Protein Engineering Design and Selection. 25(3). 127–133. 19 indexed citations
17.
Ganesan, Rajkumar, Ganesh Kolumam, Seh‐Ching Lin, et al.. (2011). Proteolytic Activation of Pro-Macrophage-Stimulating Protein by Hepsin. Molecular Cancer Research. 9(9). 1175–1186. 55 indexed citations
18.
Ganesan, Rajkumar, et al.. (2011). In silicoidentification and crystal structure validation of caspase-3 inhibitors without a P1 aspartic acid moiety. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 67(8). 842–850. 17 indexed citations
19.
Eigenbrot, Charles, Rajkumar Ganesan, & Daniel Kirchhofer. (2010). Hepatocyte growth factor activator (HGFA): molecular structure and interactions with HGFA inhibitor‐1 (HAI‐1). FEBS Journal. 277(10). 2215–2222. 19 indexed citations
20.
Li, Wěi, Bu-Er Wang, Paul Moran, et al.. (2009). Pegylated Kunitz Domain Inhibitor Suppresses Hepsin-Mediated Invasive Tumor Growth and Metastasis. Cancer Research. 69(21). 8395–8402. 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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