Sucha Sudarsanam

10.6k total citations · 2 hit papers
29 papers, 8.1k citations indexed

About

Sucha Sudarsanam is a scholar working on Molecular Biology, Oncology and Materials Chemistry. According to data from OpenAlex, Sucha Sudarsanam has authored 29 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Oncology and 4 papers in Materials Chemistry. Recurrent topics in Sucha Sudarsanam's work include Cancer Immunotherapy and Biomarkers (7 papers), Glycosylation and Glycoproteins Research (4 papers) and Protein Structure and Dynamics (4 papers). Sucha Sudarsanam is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Glycosylation and Glycoproteins Research (4 papers) and Protein Structure and Dynamics (4 papers). Sucha Sudarsanam collaborates with scholars based in United States, Canada and France. Sucha Sudarsanam's co-authors include Tony Hunter, Gerard Manning, Gregory D. Plowman, Jonathan Bingham, Dale E. Johnson, Sean Caenepeel, David B. Whyte, Carl J. March, Elena T. Chan and Marisela Tan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Sucha Sudarsanam

28 papers receiving 7.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Protein Kinase Complement of the Human Genome

2002 6.2k citations Gerard Manning, Tony Hunter et al. Science profile →
Evolution of protein kinase signaling from yeast to man

2002 716 citations Gerard Manning, Gregory D. Plowman et al. Trends in Biochemical Sciences profile →

Peers

Countries citing papers authored by Sucha Sudarsanam

Since Specialization

Citations

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

Fields of papers citing papers by Sucha Sudarsanam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sucha Sudarsanam

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Machine Learning Approach to Estimating ECOG PS for a Multiple-Myeloma Cohort from Real World Data 2023 ·Blood ·Steven Graham, (unknown), Julia A. O’Rourke, (unknown), Panteli Theocharous, (unknown), (unknown), Sucha Sudarsanam	0
2	Immunohistochemical detection of PD-L1 among diverse human neoplasms in a reference laboratory: observations based upon 62,896 cases 2019 ·Modern Pathology ·Dennis P. O’Malley, (unknown), Saskia Boisot, Sucha Sudarsanam, Jianfeng Wang, (unknown), Guohua Zhao, (unknown), Lawrence M. Weiss	59
3	Immunohistochemistry and alternative FISH testing in breast cancer with HER2 equivocal amplification 2018 ·Breast Cancer Research and Treatment ·Sally Agersborg, (unknown), (unknown), (unknown), Sucha Sudarsanam, (unknown), Lawrence M. Weiss, (unknown), (unknown), Wayne Chen, Gregory P. Hess, Maher Albitar	32
4	IDH1 and IDH2 : Founding or Progressor Mutations in Myeloid Neoplasms 2017 ·Blood ·Wanlong Ma, (unknown), Vincent Funari, Sucha Sudarsanam, (unknown), Sally Agersborg, (unknown), (unknown), Maher Albitar	2
5	Expression of PD-L1 in colorectal cancer that lack mutations in RAS or TP53 genes. 2017 ·Journal of Clinical Oncology ·Maher Albitar, Sucha Sudarsanam, Wanlong Ma, (unknown), Wayne Chen, Vincent Funari, Sally Agersborg	9
6	Translational Biology Approach to Identify Causative Factors for Rare Toxicities in Humans and Animals 2012 ·Current Drug Discovery Technologies ·(unknown), Sucha Sudarsanam, Jonathan Bingham, (unknown)	1
7	Biomarkers 2012 ·Methods in molecular biology ·(unknown), Elena T. Chan, Sucha Sudarsanam, Dale E. Johnson	3
8	Interactions between traditional Chinese medicines and Western therapeutics. 2010 ·PubMed ·Elena T. Chan, Marisela Tan, (unknown), Sucha Sudarsanam, Dale E. Johnson	159
9	Profiling human phosphodiesterase genes and splice isoforms 2006 ·Biochemical and Biophysical Research Communications ·Jonathan Bingham, Sucha Sudarsanam, (unknown)	40
10	The mouse kinome: Discovery and comparative genomics of all mouse protein kinases 2004 ·Proceedings of the National Academy of Sciences ·Sean Caenepeel, (unknown), Sucha Sudarsanam, Tony Hunter, Gerard Manning	235
11	Evolution of protein kinase signaling from yeast to man breakdown → 2002 ·Trends in Biochemical Sciences ·Gerard Manning, Gregory D. Plowman, Tony Hunter, Sucha Sudarsanam	716
12	The Protein Kinase Complement of the Human Genome breakdown → 2002 ·Science ·Gerard Manning, (unknown), (unknown), Tony Hunter, Sucha Sudarsanam	6164
13	Visualizing large hierarchical clusters in hyperbolic space 2000 ·Bioinformatics ·Jonathan Bingham, Sucha Sudarsanam	76
14	Informatics issues in large-scale sequence analysis: Elucidating the protein kinases ofC. elegans 2000 ·Journal of Cellular Biochemistry ·Jonathan Bingham, Gregory D. Plowman, Sucha Sudarsanam	3
15	Structural diversity of sequentially identical subsequences of proteins 1996 ·Acta Crystallographica Section A Foundations of Crystallography ·Sucha Sudarsanam, (unknown)	5
16	Searching for protein Ioops in parallel 1995 ·Computer applications in the biosciences ·Sucha Sudarsanam, (unknown)	1
17	Modeling protein loops using a ϕ_i+1, Ψ_i dimer database 1995 ·Protein Science ·Sucha Sudarsanam, Robert DuBose, Carl J. March, (unknown)	39
18	Homology Modeling of Divergent Proteins 1994 ·Journal of Molecular Biology ·Sucha Sudarsanam, Carl J. March, (unknown)	14
19	An automated method for modeling proteins on known templates using distance geometry 1993 ·Protein Science ·(unknown), Carl J. March, Sucha Sudarsanam	46
20	An approach to computer-aided inhibitor design: Application to cathepsin L 1992 ·Journal of Computer-Aided Molecular Design ·Sucha Sudarsanam, G. Duke Virca, Carl J. March, (unknown)	31

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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