Madhuresh Sumit

596 total citations
12 papers, 471 citations indexed

About

Madhuresh Sumit is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cell Biology. According to data from OpenAlex, Madhuresh Sumit has authored 12 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cell Biology. Recurrent topics in Madhuresh Sumit's work include Dendrimers and Hyperbranched Polymers (3 papers), Cellular Mechanics and Interactions (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Madhuresh Sumit is often cited by papers focused on Dendrimers and Hyperbranched Polymers (3 papers), Cellular Mechanics and Interactions (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Madhuresh Sumit collaborates with scholars based in United States, India and Poland. Madhuresh Sumit's co-authors include Justin E. Silpe, Seok Ki Choi, Thommey P. Thomas, Alina Kotlyar, Ananyo Maitra, Sriraṁ Ramaswamy, Abhishek Kumar, G. V. Shivashankar, Mark M. Banaszak Holl and Bradford G. Orr and has published in prestigious journals such as ACS Nano, Geochimica et Cosmochimica Acta and Scientific Reports.

In The Last Decade

Madhuresh Sumit

12 papers receiving 469 citations

Peers

Madhuresh Sumit
Kaisa Kisko Finland
Lise Schoonen Netherlands
Lijun Liu China
Aditya Kohli United States
Nan Zhou China
Kaisa Kisko Finland
Madhuresh Sumit
Citations per year, relative to Madhuresh Sumit Madhuresh Sumit (= 1×) peers Kaisa Kisko

Countries citing papers authored by Madhuresh Sumit

Since Specialization
Citations

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

Fields of papers citing papers by Madhuresh Sumit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhuresh Sumit

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

All Works

12 of 12 papers shown
1.
Gheware, Atish, Seesandra V. Rajagopala, Suman Pakala, et al.. (2022). Molecular signature of postmortem lung tissue from COVID-19 patients suggests distinct trajectories driving mortality. Disease Models & Mechanisms. 15(5). 16 indexed citations
2.
Sumit, Madhuresh, Andreja Jović, Richard R. Neubig, Shuichi Takayama, & Jennifer J. Linderman. (2019). A Two-Pulse Cellular Stimulation Test Elucidates Variability and Mechanisms in Signaling Pathways. Biophysical Journal. 116(5). 962–973. 9 indexed citations
3.
Sumit, Madhuresh, Sepideh Dolatshahi, John J. Scarcelli, et al.. (2019). Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses. iScience. 12. 102–120. 49 indexed citations
4.
Chang, Michelle, Leonid Gaidukov, Giyoung Jung, et al.. (2019). Small-molecule control of antibody N-glycosylation in engineered mammalian cells. Nature Chemical Biology. 15(7). 730–736. 55 indexed citations
5.
Sumit, Madhuresh, Shuichi Takayama, & Jennifer J. Linderman. (2016). New insights into mammalian signaling pathways using microfluidic pulsatile inputs and mathematical modeling. Integrative Biology. 9(1). 6–21. 13 indexed citations
6.
Sumit, Madhuresh, Richard R. Neubig, Shuichi Takayama, & Jennifer J. Linderman. (2015). Band-pass processing in a GPCR signaling pathway selects for NFAT transcription factor activation. Integrative Biology. 7(11). 1378–1386. 15 indexed citations
7.
Kumar, Abhishek, Ananyo Maitra, Madhuresh Sumit, Sriraṁ Ramaswamy, & G. V. Shivashankar. (2014). Actomyosin contractility rotates the cell nucleus. Scientific Reports. 4(1). 52 indexed citations
8.
Sumit, Madhuresh, et al.. (2014). Adsorption of l-glutamic acid and l-aspartic acid to γ-Al2O3. Geochimica et Cosmochimica Acta. 133. 142–155. 31 indexed citations
9.
Kumar, Abhishek, Ananyo Maitra, Madhuresh Sumit, Sriraṁ Ramaswamy, & G. V. Shivashankar. (2013). Acto-Myosin Contractility Rotates the Cell Nucleus. Biophysical Journal. 104(2). 583a–583a. 31 indexed citations
10.
Thomas, Thommey P., Madhuresh Sumit, Justin E. Silpe, et al.. (2013). Design and In vitro Validation of Multivalent Dendrimer Methotrexates as a Folate-targeting Anticancer Therapeutic. Current Pharmaceutical Design. 19(37). 6594–6605. 20 indexed citations
11.
Silpe, Justin E., Madhuresh Sumit, Thommey P. Thomas, et al.. (2013). Avidity Modulation of Folate-Targeted Multivalent Dendrimers for Evaluating Biophysical Models of Cancer Targeting Nanoparticles. ACS Chemical Biology. 8(9). 2063–2071. 53 indexed citations
12.
Choi, Seok Ki, Andrzej Myc, Justin E. Silpe, et al.. (2012). Dendrimer-Based Multivalent Vancomycin Nanoplatform for Targeting the Drug-Resistant Bacterial Surface. ACS Nano. 7(1). 214–228. 127 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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