Indira Ghosh

974 total citations
43 papers, 574 citations indexed

About

Indira Ghosh is a scholar working on Molecular Biology, Computational Theory and Mathematics and Epidemiology. According to data from OpenAlex, Indira Ghosh has authored 43 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 6 papers in Epidemiology. Recurrent topics in Indira Ghosh's work include Protein Structure and Dynamics (13 papers), Computational Drug Discovery Methods (8 papers) and RNA and protein synthesis mechanisms (7 papers). Indira Ghosh is often cited by papers focused on Protein Structure and Dynamics (13 papers), Computational Drug Discovery Methods (8 papers) and RNA and protein synthesis mechanisms (7 papers). Indira Ghosh collaborates with scholars based in India, Sweden and Singapore. Indira Ghosh's co-authors include J. Andrew McCammon, Terry P. Lybrand, Vivek Kumar Singh, Sajeev Chacko, B. Jayaram, Ashutosh Shandilya, Om Prakash, Rentala Madhubala, V. S. Gowri and Amit Sharma and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Indira Ghosh

42 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indira Ghosh India 14 343 92 90 70 70 43 574
Sarah Williams United States 16 504 1.5× 62 0.7× 77 0.9× 34 0.5× 45 0.6× 28 837
Martin Nervall Sweden 11 469 1.4× 161 1.8× 78 0.9× 17 0.2× 75 1.1× 11 687
Arnaud Blondel France 18 579 1.7× 112 1.2× 59 0.7× 62 0.9× 48 0.7× 42 936
Christophe Guilbert France 13 337 1.0× 52 0.6× 40 0.4× 71 1.0× 47 0.7× 15 491
Jozef Hritz Czechia 20 833 2.4× 215 2.3× 79 0.9× 75 1.1× 99 1.4× 50 1.2k
Paulo Ricardo Batista Brazil 15 303 0.9× 65 0.7× 27 0.3× 35 0.5× 49 0.7× 27 517
Paul Kowalczyk United States 9 279 0.8× 127 1.4× 53 0.6× 90 1.3× 182 2.6× 14 685
Robert V. Swift United States 15 564 1.6× 144 1.6× 94 1.0× 149 2.1× 15 0.2× 22 716
Jennifer M. Chambers Australia 13 583 1.7× 112 1.2× 100 1.1× 195 2.8× 293 4.2× 16 1.1k
Arianna Fornili United Kingdom 18 506 1.5× 54 0.6× 154 1.7× 31 0.4× 20 0.3× 42 803

Countries citing papers authored by Indira Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Indira Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indira Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Indira Ghosh. A scholar is included among the top collaborators of Indira Ghosh 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 Indira Ghosh. Indira Ghosh 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.
Khan, Taushif, et al.. (2018). ProLego: tool for extracting and visualizing topological modules in protein structures. BMC Bioinformatics. 19(1). 167–167.
2.
Kumar, Pawan, et al.. (2017). CRITICAL ASSESSMENT OF CONTRIBUTION FROM INDIAN PUBLICATIONS: THE ROLE OF IN SILICO DESIGNING METHODS LEADING TO DRUGS OR DRUG-LIKE COMPOUNDS USING TEXT BASED MINING AND ASSOCIATION. Journal of Proteins and Proteomics. 8(3). 1 indexed citations
3.
Das, Surojit, et al.. (2017). In silico identification and characterization of stress and virulence associated repeats in Salmonella. Genomics. 110(1). 23–34. 2 indexed citations
4.
Khan, Taushif & Indira Ghosh. (2015). Modularity in protein structures: study on all-alpha proteins. Journal of Biomolecular Structure and Dynamics. 33(12). 2667–2681. 9 indexed citations
5.
Singh, Vivek Kumar & Indira Ghosh. (2013). Methylerythritol phosphate pathway to isoprenoids: Kinetic modeling andin silicoenzyme inhibitions inPlasmodium falciparum. FEBS Letters. 587(17). 2806–2817. 15 indexed citations
6.
Shandilya, Ashutosh, Sajeev Chacko, B. Jayaram, & Indira Ghosh. (2013). A plausible mechanism for the antimalarial activity of artemisinin: A computational approach. Scientific Reports. 3(1). 2513–2513. 60 indexed citations
7.
Sarma, Uddipan & Indira Ghosh. (2012). Oscillations in MAPK cascade triggered by two distinct designs of coupled positive and negative feedback loops. BMC Research Notes. 5(1). 287–287. 6 indexed citations
8.
Gowri, V. S., Indira Ghosh, Amit Sharma, & Rentala Madhubala. (2012). Unusual domain architecture of aminoacyl tRNA synthetases and their paralogs from Leishmania major. BMC Genomics. 13(1). 621–621. 37 indexed citations
9.
Verma, Chandra, et al.. (2012). Functional relevance of dynamic properties of Dimeric NADP-dependent Isocitrate Dehydrogenases. BMC Bioinformatics. 13(S17). S2–S2. 15 indexed citations
10.
Sarma, Uddipan & Indira Ghosh. (2012). Different designs of kinase-phosphatase interactions and phosphatase sequestration shapes the robustness and signal flow in the MAPK cascade. BMC Systems Biology. 6(1). 82–82. 8 indexed citations
11.
Ghosh, Indira, et al.. (2011). Fractal symmetry of protein interior: what have we learned?. Cellular and Molecular Life Sciences. 68(16). 2711–2737. 25 indexed citations
12.
Biyani, Neha, Swati Mandal, Chandan Seth Nanda, et al.. (2011). Characterization of Leishmania donovani Aquaporins Shows Presence of Subcellular Aquaporins Similar to Tonoplast Intrinsic Proteins of Plants. PLoS ONE. 6(9). e24820–e24820. 14 indexed citations
13.
Prakash, Om, et al.. (2010). Analysis of physico-chemical properties of substrates of ABC and MFS multidrug transporters of pathogenic Candida albicans. European Journal of Medicinal Chemistry. 45(11). 4813–4826. 29 indexed citations
14.
15.
Ghosh, Indira, et al.. (2008). Simple sequence repeats in different genome sequences of Shigella and comparison with high GC and AT-rich genomes. DNA sequence. 19(3). 167–176. 3 indexed citations
16.
Ghosh, Indira. (2006). Target based high throughput screening and lead designing in pharmaceutical drug industry. INDIAN JOURNAL OF CHEMISTRY- SECTION A. 45(1). 163–173. 1 indexed citations
17.
Sarkar, Dhiman, Indira Ghosh, & Santanu Datta. (2004). Biochemical characterization of Plasmodium falciparum hypoxanthine-guanine-xanthine phosphorybosyltransferase: role of histidine residue in substrate selectivity. Molecular and Biochemical Parasitology. 137(2). 267–276. 5 indexed citations
18.
Ghosh, Indira & Olle Edholm. (1994). Molecular dynamics study of the binding of phenylalanine stereoisomers to thermolysin. Biophysical Chemistry. 50(3). 237–248. 3 indexed citations
19.
Ghosh, Indira, et al.. (1993). Software report: Molecular graphics software—MOGRA. Computers & Graphics. 17(4). 415–416. 1 indexed citations
20.
Ghosh, Indira, et al.. (1984). Effect of Configuration of the Inhibitors on the Mode of Binding to the Enzyme, Thermolysin. Journal of Biomolecular Structure and Dynamics. 2(1). 29–40. 2 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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