Viswanath Das

816 total citations
38 papers, 510 citations indexed

About

Viswanath Das is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Viswanath Das has authored 38 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Physiology and 11 papers in Oncology. Recurrent topics in Viswanath Das's work include Alzheimer's disease research and treatments (13 papers), Microtubule and mitosis dynamics (8 papers) and Cholinesterase and Neurodegenerative Diseases (7 papers). Viswanath Das is often cited by papers focused on Alzheimer's disease research and treatments (13 papers), Microtubule and mitosis dynamics (8 papers) and Cholinesterase and Neurodegenerative Diseases (7 papers). Viswanath Das collaborates with scholars based in Czechia, New Zealand and India. Viswanath Das's co-authors include Marián Hajdúch, John H. Miller, Petr Džubák, Pankhuri Vyas, Soňa Gurská, Juan Bautista De Sanctis, Federica Iannelli, Alfredo Budillon, Petr Konečný and Francesca Bruzzese and has published in prestigious journals such as Brain Research, Biochemical and Biophysical Research Communications and Cellular and Molecular Life Sciences.

In The Last Decade

Viswanath Das

33 papers receiving 504 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viswanath Das Czechia 14 257 99 91 64 62 38 510
Beth Hollister United States 10 299 1.2× 60 0.6× 184 2.0× 56 0.9× 24 0.4× 17 627
Л. Б. Дробот Ukraine 17 485 1.9× 45 0.5× 110 1.2× 155 2.4× 44 0.7× 52 801
Daisy Sproviero Italy 18 634 2.5× 65 0.7× 62 0.7× 42 0.7× 34 0.5× 27 892
Chang‐Nim Im South Korea 13 400 1.6× 40 0.4× 82 0.9× 58 0.9× 15 0.2× 29 585
Zoltán Pethő Germany 12 275 1.1× 80 0.8× 42 0.5× 55 0.9× 18 0.3× 36 462
Mridula Swayampakula Canada 9 511 2.0× 69 0.7× 134 1.5× 21 0.3× 36 0.6× 12 648
Ana Serrano‐Puebla Spain 7 390 1.5× 70 0.7× 28 0.3× 72 1.1× 21 0.3× 7 699
N. V. Popova Russia 13 506 2.0× 44 0.4× 101 1.1× 83 1.3× 17 0.3× 27 751
Mayumi Fujita Japan 17 406 1.6× 103 1.0× 166 1.8× 68 1.1× 17 0.3× 29 711
Youn Kyoung Jeong South Korea 14 214 0.8× 32 0.3× 87 1.0× 32 0.5× 31 0.5× 31 536

Countries citing papers authored by Viswanath Das

Since Specialization
Citations

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

Fields of papers citing papers by Viswanath Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viswanath Das

This figure shows the co-authorship network connecting the top 25 collaborators of Viswanath Das. A scholar is included among the top collaborators of Viswanath Das 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 Viswanath Das. Viswanath Das 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.
Das, Viswanath, Sayed Mostafa Modarres Mousavi, Faramarz Mehrnejad, et al.. (2025). Hydrophobic residues in the α‐synuclein NAC domain drive seed‐competent fibril formation and are targeted by peptide inhibitors. FEBS Journal. 293(1). 134–155. 1 indexed citations
2.
Gundla, Rambabu, Soňa Gurská, Juan Bautista De Sanctis, et al.. (2025). Identification of a novel Azaspirooxindolinone-based PROTAC for selective BTK degradation and enhanced anticancer activity. Bioorganic Chemistry. 157. 108316–108316.
3.
4.
Ia, Kozlov, et al.. (2025). Differentiation of SH-SY5Y Cells into Cortical Neuron-like Cells for Tauopathy Modeling and Seeding Assays. Molecular Neurobiology. 62(10). 12951–12962.
5.
Gurská, Soňa, et al.. (2023). Synthesis and Biological Evaluation of Oxindole Sulfonamide Derivatives as Bruton's Tyrosine Kinase Inhibitors**. ChemMedChem. 19(1). e202300511–e202300511. 4 indexed citations
6.
Das, Viswanath, et al.. (2023). Nucleoside-based anticancer drugs: Mechanism of action and drug resistance. Biochemical Pharmacology. 215. 115741–115741. 16 indexed citations
7.
Frydrych, Ivo, J. Pokorný, Martin Vlk, et al.. (2022). Triterpenoid pyrazines and pyridines – Synthesis, cytotoxicity, mechanism of action, preparation of prodrugs. European Journal of Medicinal Chemistry. 243. 114777–114777. 13 indexed citations
8.
Malina, Lukáš, et al.. (2022). Tau R2 and R3 are essential regions for tau aggregation, seeding and propagation. Biochimie. 200. 79–86. 13 indexed citations
9.
Malina, Lukáš, Mario Salmona, Luisa Diomede, et al.. (2021). Antitumour drugs targeting tau R3 VQIVYK and Cys322 prevent seeding of endogenous tau aggregates by exogenous seeds. FEBS Journal. 289(7). 1929–1949. 11 indexed citations
10.
Kugler, Michaël, Jan Nekvinda, Josef Holub, et al.. (2021). Inhibitors of CA IX Enzyme Based on Polyhedral Boron Compounds. ChemBioChem. 22(18). 2741–2761. 28 indexed citations
11.
Kugler, Michaël, Josef Holub, Václav Šícha, et al.. (2020). Sulfonamido carboranes as highly selective inhibitors of cancer-specific carbonic anhydrase IX. European Journal of Medicinal Chemistry. 200. 112460–112460. 29 indexed citations
12.
13.
Das, Viswanath, et al.. (2018). Nucleosidic DNA demethylating epigenetic drugs – A comprehensive review from discovery to clinic. Pharmacology & Therapeutics. 188. 45–79. 93 indexed citations
14.
Řehulka, Jiřı́, Ivo Frydrych, Paweł Znojek, et al.. (2017). Cellular effects of the microtubule-targeting agent peloruside A in hypoxia-conditioned colorectal carcinoma cells. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(7). 1833–1843. 5 indexed citations
15.
Das, Viswanath, Tomáš Fürst, Soňa Gurská, Petr Džubák, & Marián Hajdúch. (2016). Reproducibility of Uniform Spheroid Formation in 384-Well Plates. SLAS DISCOVERY. 21(9). 923–930. 27 indexed citations
16.
Das, Viswanath, Francesca Bruzzese, Petr Konečný, et al.. (2015). Pathophysiologically relevant in vitro tumor models for drug screening. Drug Discovery Today. 20(7). 848–855. 42 indexed citations
17.
Das, Viswanath, Jana Štěpánková, Marián Hajdúch, & John H. Miller. (2015). Role of tumor hypoxia in acquisition of resistance to microtubule-stabilizing drugs. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1855(2). 172–182. 23 indexed citations
18.
Das, Viswanath, et al.. (2014). Potential role of tubulin tyrosine ligase-like enzymes in tumorigenesis and cancer cell resistance. Cancer Letters. 350(1-2). 1–4. 8 indexed citations
19.
Solomon, K. Anand, et al.. (2013). In Silico Design of Inhibitors for -Secretase: Implications for Alzheimer's Disease. Current Trends in Biotechnology and Pharmacy. 7(1). 558–566. 1 indexed citations
20.
Das, Viswanath & John H. Miller. (2012). Non-taxoid site microtubule-stabilizing drugs work independently of tau overexpression in mouse N2a neuroblastoma cells. Brain Research. 1489. 121–132. 14 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Beth Hollister Breakdown of academic impact, for papers by Л. Б. Дробот Breakdown of academic impact, for papers by Daisy Sproviero Breakdown of academic impact, for papers by Chang‐Nim Im Breakdown of academic impact, for papers by Zoltán Pethő Breakdown of academic impact, for papers by Mridula Swayampakula Breakdown of academic impact, for papers by Ana Serrano‐Puebla Breakdown of academic impact, for papers by N. V. Popova Breakdown of academic impact, for papers by Mayumi Fujita Breakdown of academic impact, for papers by Youn Kyoung Jeong
Rankless by CCL
2026