Sumit K. Chanda

30.0k total citations · 3 hit papers
82 papers, 13.8k citations indexed

About

Sumit K. Chanda is a scholar working on Molecular Biology, Immunology and Virology. According to data from OpenAlex, Sumit K. Chanda has authored 82 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 28 papers in Immunology and 23 papers in Virology. Recurrent topics in Sumit K. Chanda's work include HIV Research and Treatment (23 papers), interferon and immune responses (16 papers) and Immune Cell Function and Interaction (9 papers). Sumit K. Chanda is often cited by papers focused on HIV Research and Treatment (23 papers), interferon and immune responses (16 papers) and Immune Cell Function and Interaction (9 papers). Sumit K. Chanda collaborates with scholars based in United States, Germany and Switzerland. Sumit K. Chanda's co-authors include Lars Pache, Yingyao Zhou, Bin Zhou, Christopher Benner, Max W. Chang, Olga Tanaseichuk, Alireza Hadj Khodabakhshi, Anthony P. Orth, Renate König and Serge Batalov and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Sumit K. Chanda

81 papers receiving 13.7k 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.

Metascape provides a biologist-oriented resource for the analysis of systems-level datasets

2019 8.7k citations Yingyao Zhou, Bin Zhou et al. Nature Communications profile →
Genome-Wide and Functional Annotation of Human E3 Ubiquitin Ligases Identifies MULAN, a Mitochondrial E3 that Regulates the Organelle's Dynamics and Signaling

2008 625 citations Sumit K. Chanda et al. PLoS ONE profile →
MDA5 Governs the Innate Immune Response to SARS-CoV-2 in Lung Epithelial Cells

2021 257 citations Xin Yin, Laura Riva et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sumit K. Chanda United States	36	8.2k	2.5k	2.0k	1.7k	1.4k	82	13.8k
Yingyao Zhou United States	33	7.0k 0.9×	2.6k 1.1×	1.8k 0.9×	1.4k 0.8×	1.4k 1.0×	62	13.2k
Lars Pache United States	18	5.5k 0.7×	1.7k 0.7×	1.6k 0.8×	1.2k 0.7×	1.4k 0.9×	27	9.9k
Max W. Chang United States	23	6.4k 0.8×	1.7k 0.7×	1.7k 0.9×	1.2k 0.7×	1.4k 1.0×	40	11.8k
Glynn Dennis United States	12	7.5k 0.9×	1.6k 0.7×	2.0k 1.0×	1.1k 0.6×	950 0.7×	13	12.3k
Michael R. Green United States	68	15.3k 1.9×	1.8k 0.7×	1.3k 0.7×	1.5k 0.9×	458 0.3×	177	19.2k
Frank J. T. Staal Netherlands	55	5.6k 0.7×	3.2k 1.3×	932 0.5×	1.6k 0.9×	577 0.4×	188	11.0k
Robert M. Stephens United States	64	13.3k 1.6×	1.8k 0.7×	5.9k 3.0×	1.7k 1.0×	1.1k 0.8×	151	19.1k
Zichen Wang United States	32	9.2k 1.1×	2.2k 0.9×	2.4k 1.2×	1.6k 0.9×	1.3k 0.9×	90	15.4k
Yi Liu China	45	5.2k 0.6×	1.5k 0.6×	1.1k 0.6×	1.3k 0.8×	569 0.4×	247	8.4k
William L. Farrar United States	71	6.8k 0.8×	5.7k 2.3×	2.2k 1.1×	4.7k 2.7×	1.0k 0.7×	212	15.5k

Countries citing papers authored by Sumit K. Chanda

Since Specialization

Citations

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

Fields of papers citing papers by Sumit K. Chanda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sumit K. Chanda. 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 Sumit K. Chanda. The network helps show where Sumit K. Chanda may publish in the future.

Co-authorship network of co-authors of Sumit K. Chanda

This figure shows the co-authorship network connecting the top 25 collaborators of Sumit K. Chanda. A scholar is included among the top collaborators of Sumit K. Chanda 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 Sumit K. Chanda. Sumit K. Chanda 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

Chen, Hao, Frederick J. King, Bin Zhou, et al.. (2024). Drug target prediction through deep learning functional representation of gene signatures. Nature Communications. 15(1). 1853–1853. 34 indexed citations

Pal, Lipika R., Kuoyuan Cheng, Nishanth Ulhas Nair, et al.. (2022). Synthetic lethality-based prediction of anti-SARS-CoV-2 targets. iScience. 25(5). 104311–104311. 5 indexed citations

Cheng, Kuoyuan, Laura Martin‐Sancho, Lipika R. Pal, et al.. (2021). Genome‐scale metabolic modeling reveals SARS‐CoV‐2‐induced metabolic changes and antiviral targets. Molecular Systems Biology. 17(11). e10260–e10260. 29 indexed citations

Kallol, Sampada, Laura Martin‐Sancho, Donald Pizzo, et al.. (2021). Potential Risk of Infection of First Trimester Placentas by SARS-CoV2. Reproductive Sciences. 28. 1 indexed citations

Pache, Lars, Matthew D. Marsden, Peter Teriete, et al.. (2020). Pharmacological Activation of Non-canonical NF-κB Signaling Activates Latent HIV-1 Reservoirs In Vivo. Cell Reports Medicine. 1(3). 100037–100037. 38 indexed citations

Du, Yushen, Judd F. Hultquist, Quan Zhou, et al.. (2020). mRNA display with library of even-distribution reveals cellular interactors of influenza virus NS1. Nature Communications. 11(1). 2449–2449. 13 indexed citations

Langer, Simon, Christian Hammer, Lukas Klein, et al.. (2019). HIV-1 Vpu is a potent transcriptional suppressor of NF-κB-elicited antiviral immune responses. eLife. 8. 53 indexed citations

Rodríguez-Frandsen, Ariel, Laura Martin‐Sancho, Anshu P. Gounder, et al.. (2019). Viral Determinants in H5N1 Influenza A Virus Enable Productive Infection of HeLa Cells. Journal of Virology. 94(4). 3 indexed citations

Zhou, Yingyao, Bin Zhou, Lars Pache, et al.. (2019). Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nature Communications. 10(1). 1523–1523. 8740 indexed citations breakdown →

10.

Chen, Bo-Rui, Anagha Deshpande, Maria Kleppe, et al.. (2018). Genomic and Proteomic Profiling of AF10-Fusion Oncoproteins Reveal Mechanisms of Leukemogenesis and Actionable Targets. Blood. 132(Supplement 1). 544–544. 2 indexed citations

11.

Jiang, Dan, Peng Qin, Yuelin Zhang, et al.. (2017). Inhibition of NUCKS Facilitates Corneal Recovery Following Alkali Burn. Scientific Reports. 7(1). 41224–41224. 20 indexed citations

12.

Pohl, Marie O., Ariel Rodríguez-Frandsen, Emilio Yángüez, et al.. (2017). Identification of Polo-like kinases as potential novel drug targets for influenza A virus. Scientific Reports. 7(1). 8629–8629. 14 indexed citations

13.

Emig-Agius, Dorothea, Kevin C. Olivieri, Lars Pache, et al.. (2014). An Integrated Map of HIV-Human Protein Complexes that Facilitate Viral Infection. PLoS ONE. 9(5). e96687–e96687. 11 indexed citations

14.

Opaluch, Amanda M., Monika Schneider, Chih-Yuan Chiang, et al.. (2014). Positive Regulation of TRAF6-Dependent Innate Immune Responses by Protein Phosphatase PP1-γ. PLoS ONE. 9(2). e89284–e89284. 14 indexed citations

15.

Peng, Tao, et al.. (2010). Determining the distribution of probes between different subcellular locations through automated unmixing of subcellular patterns. Proceedings of the National Academy of Sciences. 107(7). 2944–2949. 31 indexed citations

16.

Bandyopadhyay, Sourav, Chih-Yuan Chiang, Jyoti Srivastava, et al.. (2010). A human MAP kinase interactome. Nature Methods. 7(10). 801–805. 157 indexed citations

17.

Gómez-Ferrerı́a, Marı́a Ana, Uttama Rath, Daniel W. Buster, et al.. (2007). Human Cep192 Is Required for Mitotic Centrosome and Spindle Assembly. Current Biology. 17(22). 1960–1966. 166 indexed citations

18.

Yu, Fuqu, Josephine N. Harada, Helen Brown, et al.. (2007). Systematic Identification of Cellular Signals Reactivating Kaposi Sarcoma–Associated Herpesvirus. PLoS Pathogens. 3(3). e44–e44. 84 indexed citations

19.

Huang, Qihong, Ángel Raya, Paul DeJesus, et al.. (2004). Identification of p53 regulators by genome-wide functional analysis. Proceedings of the National Academy of Sciences. 101(10). 3456–3461. 118 indexed citations

20.

Smith, Kevin S., Sumit K. Chanda, Douglas T. Ross, et al.. (2003). Bmi-1 Regulation of INK4A-ARF Is a Downstream Requirement for Transformation of Hematopoietic Progenitors by E2a-Pbx1. Molecular Cell. 12(2). 393–400. 75 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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