Jyotsna Bhat

408 total citations
16 papers, 320 citations indexed

About

Jyotsna Bhat is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Jyotsna Bhat has authored 16 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Organic Chemistry. Recurrent topics in Jyotsna Bhat's work include RNA and protein synthesis mechanisms (5 papers), DNA and Nucleic Acid Chemistry (4 papers) and Computational Drug Discovery Methods (3 papers). Jyotsna Bhat is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), DNA and Nucleic Acid Chemistry (4 papers) and Computational Drug Discovery Methods (3 papers). Jyotsna Bhat collaborates with scholars based in India, United States and Australia. Jyotsna Bhat's co-authors include Subhrangsu Chatterjee, Kunal Roy, Pravin Ambure, Tomasz Puzyn, Samit Chattopadhyay, M. Elizabeth Sobhia, Abir K. Panda, Gaurisankar Sa, Kiran Nakka and Nidhi Chaudhary and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemistry and Scientific Reports.

In The Last Decade

Jyotsna Bhat

16 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jyotsna Bhat India	11	200	62	46	42	41	16	320
Jacek Kabziński Poland	12	217 1.1×	54 0.9×	67 1.5×	60 1.4×	33 0.8×	26	351
Rayala Swetha India	12	201 1.0×	83 1.3×	86 1.9×	63 1.5×	39 1.0×	18	405
Zhongjie Chen China	9	180 0.9×	49 0.8×	44 1.0×	35 0.8×	21 0.5×	40	351
Wenjie Liu China	11	165 0.8×	57 0.9×	92 2.0×	30 0.7×	47 1.1×	19	338
Xiaoli An China	13	278 1.4×	69 1.1×	32 0.7×	50 1.2×	23 0.6×	32	418
Yuzhen Niu China	13	259 1.3×	139 2.2×	24 0.5×	34 0.8×	40 1.0×	24	442
Simon J. Larsen Denmark	10	235 1.2×	63 1.0×	20 0.4×	48 1.1×	14 0.3×	12	387
Jean Eastman United States	7	217 1.1×	65 1.0×	92 2.0×	16 0.4×	99 2.4×	9	383
Chiemi Mishima-Tsumagari Japan	11	186 0.9×	48 0.8×	61 1.3×	22 0.5×	23 0.6×	16	340
Vivek Srivastava India	14	291 1.5×	34 0.5×	10 0.2×	58 1.4×	54 1.3×	31	459

Countries citing papers authored by Jyotsna Bhat

Since Specialization

Citations

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

Fields of papers citing papers by Jyotsna Bhat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyotsna Bhat

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Das, Debajyoti, Jagannath Jana, Jyotsna Bhat, et al.. (2021). Prion-derived tetrapeptide stabilizes thermolabile insulin via conformational trapping. iScience. 24(6). 102573–102573. 8 indexed citations

Panda, Abir K., Jyotsna Bhat, Sayantan Bose, et al.. (2019). Andrographolide binds to ATP-binding pocket of VEGFR2 to impede VEGFA-mediated tumor-angiogenesis. Scientific Reports. 9(1). 4073–4073. 33 indexed citations

Ambure, Pravin, Jyotsna Bhat, Tomasz Puzyn, & Kunal Roy. (2018). Identifying natural compounds as multi-target-directed ligands against Alzheimer’s disease: an in silico approach. Journal of Biomolecular Structure and Dynamics. 37(5). 1282–1306. 61 indexed citations

Bhat, Jyotsna, Soma Mondal, Pallabi Sengupta, & Subhrangsu Chatterjee. (2017). In Silico Screening and Binding Characterization of Small Molecules toward a G-Quadruplex Structure Formed in the Promoter Region of c-MYC Oncogene. ACS Omega. 2(8). 4382–4397. 10 indexed citations

Jana, Samarjit, Jagannath Jana, Kartick Patra, et al.. (2017). LINCRNA00273 promotes cancer metastasis and its G-Quadruplex promoter can serve as a novel target to inhibit cancer invasiveness. Oncotarget. 8(66). 110234–110256. 11 indexed citations

Saha, Taniya, Deblina Guha, Argha Manna, et al.. (2016). G-actin guides p53 nuclear transport: potential contribution of monomeric actin in altered localization of mutant p53. Scientific Reports. 6(1). 32626–32626. 24 indexed citations

Chakraborty, Supriya, Swatilekha Ghosh, Bhaswati Banerjee, et al.. (2016). Mephebrindole, a synthetic indole analog coordinates the crosstalk between p38MAPK and eIF2α/ATF4/CHOP signalling pathways for induction of apoptosis in human breast carcinoma cells. APOPTOSIS. 21(10). 1106–1124. 7 indexed citations

Bhat, Jyotsna & Subhrangsu Chatterjee. (2016). Skeleton selectivity in complexation of chelerythrine and chelerythrine-like natural plant alkaloids with the G-quadruplex formed at the promoter of c-MYC oncogene: in silico exploration. RSC Advances. 6(43). 36667–36680. 9 indexed citations

Maji, Basudeb, Jyotsna Bhat, Yasumasa Iwasaki, et al.. (2016). Discovery and Structural Characterization of G-quadruplex DNA in Human Acetyl-CoA Carboxylase Gene Promoters: Its Role in Transcriptional Regulation and as a Therapeutic Target for Human Disease. Journal of Medicinal Chemistry. 59(10). 5035–5050. 15 indexed citations

10.

Mondal, Soma, et al.. (2015). Reverse Watson–Crick G–G base pair in G-quadruplex formation. Molecular BioSystems. 12(1). 18–22. 9 indexed citations

11.

Ghosh, Anirban, Amit S. Pithadia, Jyotsna Bhat, et al.. (2015). Self-Assembly of a Nine-Residue Amyloid-Forming Peptide Fragment of SARS Corona Virus E-Protein: Mechanism of Self Aggregation and Amyloid-Inhibition of hIAPP. Biochemistry. 54(13). 2249–2261. 43 indexed citations

12.

Nakka, Kiran, Nidhi Chaudhary, Jyotsna Bhat, et al.. (2015). Nuclear matrix-associated protein SMAR1 regulates alternative splicing via HDAC6-mediated deacetylation of Sam68. Proceedings of the National Academy of Sciences. 112(26). E3374–83. 42 indexed citations

13.

Chaudhary, Nidhi, Kiran Nakka, Pavithra L. Chavali, et al.. (2014). SMAR1 coordinates HDAC6-induced deacetylation of Ku70 and dictates cell fate upon irradiation. Cell Death and Disease. 5(10). e1447–e1447. 20 indexed citations

14.

Bhat, Jyotsna, et al.. (2014). Molecular dynamics approach to probe PKCβII–ligand interactions and influence of crystal water molecules on these interactions. Expert Opinion on Therapeutic Targets. 19(1). 13–23. 2 indexed citations

15.

Bhat, Jyotsna, et al.. (2013). Structure-based design and analysis of MAO-B inhibitors for Parkinson’s disease: using in silico approaches. Molecular Diversity. 17(1). 111–122. 15 indexed citations

16.

Sobhia, M. Elizabeth, et al.. (2012). Protein kinase C βII in diabetic complications: survey of structural, biological and computational studies. Expert Opinion on Therapeutic Targets. 16(3). 325–344. 11 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