S. S. Indi

1.1k total citations
29 papers, 947 citations indexed

About

S. S. Indi is a scholar working on Molecular Biology, Physiology and Organic Chemistry. According to data from OpenAlex, S. S. Indi has authored 29 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Organic Chemistry. Recurrent topics in S. S. Indi's work include RNA Interference and Gene Delivery (4 papers), Mycobacterium research and diagnosis (4 papers) and Alzheimer's disease research and treatments (4 papers). S. S. Indi is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), Mycobacterium research and diagnosis (4 papers) and Alzheimer's disease research and treatments (4 papers). S. S. Indi collaborates with scholars based in India, United Kingdom and United States. S. S. Indi's co-authors include K. S. Rao, H. N. Vasan, Somnath Ghosh, Arnab Sarkar, Uday Maitra, Photon Rao, Samrat Mukhopadhyay, Bharathi ..., S. V. Bhat and Venkanagouda S. Goudar and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and Langmuir.

In The Last Decade

S. S. Indi

29 papers receiving 930 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. S. Indi India 16 310 274 186 178 109 29 947
Hamid R. Kalhor Iran 19 626 2.0× 245 0.9× 162 0.9× 181 1.0× 166 1.5× 38 1.3k
Qingqing Luo China 21 298 1.0× 334 1.2× 58 0.3× 122 0.7× 47 0.4× 82 1.2k
J. P. Noël France 17 479 1.5× 225 0.8× 191 1.0× 428 2.4× 66 0.6× 52 1.5k
Jianguo Hu China 24 388 1.3× 180 0.7× 319 1.7× 75 0.4× 70 0.6× 58 1.6k
Hossein Mohammad‐Beigi Denmark 19 327 1.1× 161 0.6× 59 0.3× 266 1.5× 210 1.9× 43 968
Gabriela Calderó Spain 16 218 0.7× 198 0.7× 203 1.1× 403 2.3× 54 0.5× 36 956
Xiaoyuan Ren China 20 548 1.8× 193 0.7× 250 1.3× 98 0.6× 96 0.9× 47 1.3k
Josep Queralt Spain 12 142 0.5× 125 0.5× 81 0.4× 284 1.6× 47 0.4× 39 826
Ping Ping Hu China 20 764 2.5× 550 2.0× 109 0.6× 152 0.9× 87 0.8× 44 1.5k
Maria Grazia Rimoli Italy 19 316 1.0× 91 0.3× 277 1.5× 240 1.3× 67 0.6× 57 1.2k

Countries citing papers authored by S. S. Indi

Since Specialization
Citations

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

Fields of papers citing papers by S. S. Indi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. S. Indi

This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Indi. A scholar is included among the top collaborators of S. S. Indi 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 S. S. Indi. S. S. Indi 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.
Indi, S. S., et al.. (2014). Groundnut Bud Necrosis Virus Encoded NSm Associates with Membranes via Its C-Terminal Domain. PLoS ONE. 9(6). e99370–e99370. 15 indexed citations
2.
Ramesh, Balenahalli Narasingappa, et al.. (2010). Studies to understand the effect of Centella asiatica on Aβ(42) aggregation in vitro. Current Trends in Biotechnology and Pharmacy. 4(2). 716–724. 4 indexed citations
3.
Padmaraju, Vasudevaraju, S. S. Indi, & Kosagi Sharaf Jagannatha Rao. (2010). New evidences on Tau–DNA interactions and relevance to neurodegeneration. Neurochemistry International. 57(1). 51–57. 25 indexed citations
4.
Ramesh, Balenahalli Narasingappa, S. S. Indi, & K. S. Rao. (2010). Anti-amyloidogenic property of leaf aqueous extract of Caesalpinia crista. Neuroscience Letters. 475(2). 110–114. 38 indexed citations
5.
Arumugam, Muthu, Saurabh Mishra, Praveen Anand, et al.. (2009). <italic>Mycobacterium tuberculosis</italic> FtsZ requires at least one arginine residue at the C-terminal end for polymerization <italic>in vitro</italic>. Acta Biochimica et Biophysica Sinica. 42(1). 58–69. 3 indexed citations
6.
Gupta, Veer Bala, S. S. Indi, & K. S. Rao. (2008). Garlic extract exhibits antiamyloidogenic activity on amyloid‐beta fibrillogenesis: relevance to Alzheimer's disease. Phytotherapy Research. 23(1). 111–115. 60 indexed citations
7.
Srinivasan, R., et al.. (2008). In vitro polymerization of Mycobacterium leprae FtsZ OR Mycobacterium tuberculosis FtsZ is revived or abolished, respectively, by reciprocal mutation of a single residue. Biochemical and Biophysical Research Communications. 368(2). 445–452. 5 indexed citations
8.
Sinha, Sharmistha, et al.. (2007). SPR and ITC determination of the kinetics and the thermodynamics of bivalent versus monovalent sugar ligand–lectin interactions. Glycoconjugate Journal. 25(4). 313–321. 36 indexed citations
9.
Gupta, Veer Bala, S. S. Indi, & K. S. Rao. (2007). Studies on the Role of Amino Acid Stereospecificity in Amyloid Beta Aggregation. Journal of Molecular Neuroscience. 34(1). 35–43. 12 indexed citations
10.
Srinivasan, R., et al.. (2007). GTP/GDP binding stabilizes bacterial cell division protein FtsZ against degradation by FtsH protease in vitro. Biochemical and Biophysical Research Communications. 357(1). 38–43. 2 indexed citations
11.
..., Bharathi, S. S. Indi, & K. S. Rao. (2007). Copper- and iron-induced differential fibril formation in α-synuclein: TEM study. Neuroscience Letters. 424(2). 78–82. 94 indexed citations
12.
Bajaj, Avinash, Bishwajit Paul, S. S. Indi, Paturu Kondaiah, & Santanu Bhattacharya. (2007). Effect of the Hydrocarbon Chain and Polymethylene Spacer Lengths on Gene Transfection Efficacies of Gemini Lipids Based on Aromatic Backbone. Bioconjugate Chemistry. 18(6). 2144–2158. 46 indexed citations
13.
Chandra, Manabendra, S. S. Indi, & Puspendu K. Das. (2006). First hyperpolarizabilities of unprotected and polymer protected copper nanoparticles prepared by laser ablation. Chemical Physics Letters. 422(1-3). 262–266. 25 indexed citations
15.
Srinivasan, R., et al.. (2004). A C-terminal deletion mutant of Mycobacterium tuberculosis FtsZ shows fast polymerization in vitro. Microbiology. 150(5). 1119–1121. 7 indexed citations
16.
Indi, S. S., et al.. (2004). Synthesis and vesicular polymerization of novel counter‐ion polymerizable/crosslinkable surfactants. Journal of Polymer Science Part A Polymer Chemistry. 42(20). 5271–5283. 7 indexed citations
17.
Maitra, Uday, Samrat Mukhopadhyay, Arnab Sarkar, Photon Rao, & S. S. Indi. (2001). Hydrophobic Pockets in a Nonpolymeric Aqueous Gel: Observation of such a Gelation Process by Color Change. Angewandte Chemie. 113(12). 2341–2343. 27 indexed citations
19.
Xuereb‐Anastasi, Angela, et al.. (1987). Binding of mammalian brain microtubule‐associated proteins (MAPs) to insect ovarian microtubules. Cell Motility and the Cytoskeleton. 8(2). 174–181. 2 indexed citations
20.
Indi, S. S., Gavin E. Wakley, & Howard Stebbings. (1985). Does freeze-substitution reveal the hydrophobic nature of interprotofilament bonding in microtubules?. Cell Biology International Reports. 9(9). 859–865. 1 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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