Ganesh P. Subedi

997 total citations
20 papers, 770 citations indexed

About

Ganesh P. Subedi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Ganesh P. Subedi has authored 20 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Immunology. Recurrent topics in Ganesh P. Subedi's work include Glycosylation and Glycoproteins Research (15 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and Enzyme Structure and Function (4 papers). Ganesh P. Subedi is often cited by papers focused on Glycosylation and Glycoproteins Research (15 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and Enzyme Structure and Function (4 papers). Ganesh P. Subedi collaborates with scholars based in United States, Japan and Spain. Ganesh P. Subedi's co-authors include Adam W. Barb, Quinlin Hanson, Kashyap Patel, Roy W. Johnson, Heather Moniz, Kelley W. Moremen, Yoshiki Yamaguchi, Shinya Hanashima, Tadashi Satoh and Yoko Fujita‐Yamaguchi and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and The FASEB Journal.

In The Last Decade

Ganesh P. Subedi

20 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ganesh P. Subedi United States 14 633 538 345 61 43 20 770
Sheila A. Iverson United States 5 667 1.1× 621 1.2× 164 0.5× 42 0.7× 64 1.5× 5 848
Fabian Higel Germany 8 428 0.7× 252 0.5× 141 0.4× 59 1.0× 48 1.1× 14 531
Bhavana Shah United States 16 673 1.1× 304 0.6× 116 0.3× 96 1.6× 41 1.0× 28 773
S. Krapp Germany 2 453 0.7× 431 0.8× 192 0.6× 32 0.5× 24 0.6× 2 532
Heather Lynaugh United States 15 971 1.5× 842 1.6× 206 0.6× 31 0.5× 101 2.3× 19 1.1k
Pavlo Pristatsky United States 9 479 0.8× 385 0.7× 83 0.2× 32 0.5× 30 0.7× 9 584
Antonio R. Arulanandam United States 11 387 0.6× 192 0.4× 462 1.3× 101 1.7× 149 3.5× 14 805
Eskil Söderlind Sweden 13 666 1.1× 524 1.0× 98 0.3× 19 0.3× 35 0.8× 19 759
Róisín O’Flaherty Ireland 16 606 1.0× 210 0.4× 158 0.5× 125 2.0× 57 1.3× 28 792
Irina Burnina United States 13 460 0.7× 286 0.5× 92 0.3× 50 0.8× 41 1.0× 15 526

Countries citing papers authored by Ganesh P. Subedi

Since Specialization
Citations

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

Fields of papers citing papers by Ganesh P. Subedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ganesh P. Subedi. 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 Ganesh P. Subedi. The network helps show where Ganesh P. Subedi may publish in the future.

Co-authorship network of co-authors of Ganesh P. Subedi

This figure shows the co-authorship network connecting the top 25 collaborators of Ganesh P. Subedi. A scholar is included among the top collaborators of Ganesh P. Subedi 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 Ganesh P. Subedi. Ganesh P. Subedi 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.
2.
Subedi, Ganesh P., et al.. (2024). A comprehensive assessment of selective amino acid 15N-labeling in human embryonic kidney 293 cells for NMR spectroscopy. Journal of Biomolecular NMR. 78(2). 125–132. 4 indexed citations
3.
Rodríguez, María C., et al.. (2023). Inhibiting N‐glycan processing increases the antibody binding affinity and effector function of human natural killer cells. Immunology. 170(2). 202–213. 5 indexed citations
4.
Tolbert, William D., Ganesh P. Subedi, Neelakshi Gohain, et al.. (2019). From Rhesus macaque to human: structural evolutionary pathways for immunoglobulin G subclasses. mAbs. 11(4). 709–724. 15 indexed citations
5.
Subedi, Ganesh P. & Adam W. Barb. (2018). CD16a with oligomannose-type N-glycans is the only “low-affinity” Fc γ receptor that binds the IgG crystallizable fragment with high affinity in vitro. Journal of Biological Chemistry. 293(43). 16842–16850. 38 indexed citations
6.
Patel, Kashyap, et al.. (2018). Restricted processing of CD16a/Fc γ receptor IIIa N-glycans from primary human NK cells impacts structure and function. Journal of Biological Chemistry. 293(10). 3477–3489. 61 indexed citations
7.
Barb, Adam W., et al.. (2018). The Preparation and Solution NMR Spectroscopy of Human Glycoproteins Is Accessible and Rewarding. Methods in enzymology on CD-ROM/Methods in enzymology. 614. 239–261. 16 indexed citations
8.
Subedi, Ganesh P., et al.. (2018). Intradomain Interactions in an NMDA Receptor Fragment Mediate N-Glycan Processing and Conformational Sampling. Structure. 27(1). 55–65.e3. 8 indexed citations
9.
Subedi, Ganesh P., et al.. (2018). Antibody Fucosylation Lowers the FcγRIIIa/CD16a Affinity by Limiting the Conformations Sampled by the N162-Glycan. ACS Chemical Biology. 13(8). 2179–2189. 66 indexed citations
10.
Subedi, Ganesh P., et al.. (2017). Carbohydrate–Polypeptide Contacts in the Antibody Receptor CD16A Identified through Solution NMR Spectroscopy. Biochemistry. 56(25). 3174–3177. 34 indexed citations
11.
Barb, Adam W., et al.. (2017). N‐glycan composition impacts CD16A structure and antibody binding on natural killer cells. The FASEB Journal. 31(S1). 1 indexed citations
12.
Subedi, Ganesh P. & Adam W. Barb. (2016). The immunoglobulin G1 N-glycan composition affects binding to each low affinity Fc γ receptor. mAbs. 8(8). 1512–1524. 144 indexed citations
13.
Barb, Adam W. & Ganesh P. Subedi. (2016). An encodable lanthanide binding tag with reduced size and flexibility for measuring residual dipolar couplings and pseudocontact shifts in large proteins. Journal of Biomolecular NMR. 64(1). 75–85. 13 indexed citations
14.
Subedi, Ganesh P. & Adam W. Barb. (2015). The Structural Role of Antibody N-Glycosylation in Receptor Interactions. Structure. 23(9). 1573–1583. 153 indexed citations
15.
Subedi, Ganesh P., Roy W. Johnson, Heather Moniz, Kelley W. Moremen, & Adam W. Barb. (2015). High Yield Expression of Recombinant Human Proteins with the Transient Transfection of HEK293 Cells in Suspension. Journal of Visualized Experiments. e53568–e53568. 61 indexed citations
16.
Subedi, Ganesh P., Roy W. Johnson, Heather Moniz, Kelley W. Moremen, & Adam W. Barb. (2015). High Yield Expression of Recombinant Human Proteins with the Transient Transfection of HEK293 Cells in Suspension. Journal of Visualized Experiments. 20 indexed citations
17.
Yamamoto, Soh, Ganesh P. Subedi, Shinya Hanashima, et al.. (2014). ATPase Activity and ATP-dependent Conformational Change in the Co-chaperone HSP70/HSP90-organizing Protein (HOP). Journal of Biological Chemistry. 289(14). 9880–9886. 25 indexed citations
18.
Subedi, Ganesh P., Quinlin Hanson, & Adam W. Barb. (2014). Restricted Motion of the Conserved Immunoglobulin G1 N-Glycan Is Essential for Efficient FcγRIIIa Binding. Structure. 22(10). 1478–1488. 69 indexed citations
19.
20.
Subedi, Ganesh P., Tadashi Satoh, Shinya Hanashima, et al.. (2012). Overproduction of anti-Tn antibody MLS128 single-chain Fv fragment in Escherichia coli cytoplasm using a novel pCold-PDI vector. Protein Expression and Purification. 82(1). 197–204. 27 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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