Srinivas Niranj Chandrasekaran

1.5k total citations
14 papers, 570 citations indexed

About

Srinivas Niranj Chandrasekaran is a scholar working on Molecular Biology, Spectroscopy and Biophysics. According to data from OpenAlex, Srinivas Niranj Chandrasekaran has authored 14 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Spectroscopy and 3 papers in Biophysics. Recurrent topics in Srinivas Niranj Chandrasekaran's work include RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (4 papers) and RNA modifications and cancer (2 papers). Srinivas Niranj Chandrasekaran is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (4 papers) and RNA modifications and cancer (2 papers). Srinivas Niranj Chandrasekaran collaborates with scholars based in United States, Japan and France. Srinivas Niranj Chandrasekaran's co-authors include Anne E. Carpenter, Justin D. Boyd, Hugo Ceulemans, Charles W. Carter, Nikolay V. Dokholyan, Violetta Weinreb, Andrei V. Karginov, Christina M. Freisinger, Feng Ding and Onur Dağliyan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Reviews Drug Discovery.

In The Last Decade

Srinivas Niranj Chandrasekaran

12 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Srinivas Niranj Chandrasekaran United States 10 430 185 75 55 48 14 570
Mojca Mattiazzi Ušaj Canada 10 492 1.1× 159 0.9× 24 0.3× 41 0.7× 53 1.1× 22 658
Noriko Hiroi Japan 12 245 0.6× 70 0.4× 16 0.2× 20 0.4× 57 1.2× 43 460
Christina Laufer Germany 9 426 1.0× 173 0.9× 34 0.5× 48 0.9× 54 1.1× 13 591
Sotiris Dimopoulos Switzerland 9 224 0.5× 102 0.6× 18 0.2× 49 0.9× 27 0.6× 9 342
Thomas P. Hasaka United States 10 289 0.7× 140 0.8× 49 0.7× 53 1.0× 24 0.5× 11 544
J.D. Hoyt United States 5 244 0.6× 161 0.9× 118 1.6× 44 0.8× 14 0.3× 8 413
Betina Kerstin Lundholt Denmark 10 251 0.6× 68 0.4× 45 0.6× 9 0.2× 39 0.8× 13 421
Inbal Maayan Israel 6 224 0.5× 222 1.2× 7 0.1× 83 1.5× 62 1.3× 6 456
Nicola Bevan United Kingdom 13 299 0.7× 104 0.6× 17 0.2× 51 0.9× 23 0.5× 28 489
Alan M. Moses Canada 7 428 1.0× 57 0.3× 8 0.1× 15 0.3× 16 0.3× 9 486

Countries citing papers authored by Srinivas Niranj Chandrasekaran

Since Specialization
Citations

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

Fields of papers citing papers by Srinivas Niranj Chandrasekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Srinivas Niranj Chandrasekaran. 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 Srinivas Niranj Chandrasekaran. The network helps show where Srinivas Niranj Chandrasekaran may publish in the future.

Co-authorship network of co-authors of Srinivas Niranj Chandrasekaran

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

All Works

14 of 14 papers shown
1.
Chandrasekaran, Srinivas Niranj, Jhuma Das, Nikolay V. Dokholyan, & Charles W. Carter. (2023). Microcalorimetry reveals multi-state thermal denaturation of G. stearothermophilus tryptophanyl-tRNA synthetase. Structural Dynamics. 10(4). 44301–44301. 1 indexed citations
2.
Chandrasekaran, Srinivas Niranj, Takuji Hirose, & Koichi Kodama. (2022). “Solvent-induced chirality switching” in the enantioseparation of chlorine-substituted tropic acids via diastereomeric salt formation by (1R,2S)-(−)-2-amino-1,2-diphenylethanol (ADPE). Tetrahedron. 108. 132653–132653. 3 indexed citations
3.
Way, Gregory P., Ted Natoli, Lev Litichevskiy, et al.. (2022). Morphology and gene expression profiling provide complementary information for mapping cell state. Cell Systems. 13(11). 911–923.e9. 55 indexed citations
4.
5.
Chandrasekaran, Srinivas Niranj, Hugo Ceulemans, Justin D. Boyd, & Anne E. Carpenter. (2020). Image-based profiling for drug discovery: due for a machine-learning upgrade?. Nature Reviews Drug Discovery. 20(2). 145–159. 214 indexed citations
6.
Chandrasekaran, Srinivas Niranj & Charles W. Carter. (2017). Augmenting the anisotropic network model with torsional potentials improves PATH performance, enabling detailed comparison with experimental rate data. Structural Dynamics. 4(3). 32103–32103. 15 indexed citations
7.
Carter, Charles W., Srinivas Niranj Chandrasekaran, Violetta Weinreb, Li Li, & Tishan Williams. (2017). Combining multi-mutant and modular thermodynamic cycles to measure energetic coupling networks in enzyme catalysis. Structural Dynamics. 4(3). 32101–32101. 16 indexed citations
8.
Chandrasekaran, Srinivas Niranj, Jhuma Das, Nikolay V. Dokholyan, & Charles W. Carter. (2016). A modified PATH algorithm rapidly generates transition states comparable to those found by other well established algorithms. Structural Dynamics. 3(1). 12101–12101. 20 indexed citations
9.
Martínez‐Rodríguez, Luis, Tishan Williams, Li Li, et al.. (2015). Functional Class I and II Amino Acid-activating Enzymes Can Be Coded by Opposite Strands of the Same Gene. Journal of Biological Chemistry. 290(32). 19710–19725. 53 indexed citations
10.
Weinreb, Violetta, Li Li, Srinivas Niranj Chandrasekaran, et al.. (2014). Enhanced Amino Acid Selection in Fully Evolved Tryptophanyl-tRNA Synthetase, Relative to Its Urzyme, Requires Domain Motion Sensed by the D1 Switch, a Remote Dynamic Packing Motif. Journal of Biological Chemistry. 289(7). 4367–4376. 30 indexed citations
11.
Chandrasekaran, Srinivas Niranj, et al.. (2013). Statistical Evaluation of the Rodin–Ohno Hypothesis: Sense/Antisense Coding of Ancestral Class I and II Aminoacyl-tRNA Synthetases. Molecular Biology and Evolution. 30(7). 1588–1604. 37 indexed citations
12.
Dağliyan, Onur, David Shirvanyants, Andrei V. Karginov, et al.. (2013). Rational Design of a Ligand-Controlled Protein Conformational Switch. Biophysical Journal. 104(2). 18a–19a.
13.
Dağliyan, Onur, David Shirvanyants, Andrei V. Karginov, et al.. (2013). Rational design of a ligand-controlled protein conformational switch. Proceedings of the National Academy of Sciences. 110(17). 6800–6804. 101 indexed citations
14.
Chandrasekaran, Srinivas Niranj, et al.. (2010). Molecular dynamics simulations of human and dog gastric lipases: Insights into domain movements. FEBS Letters. 584(22). 4599–4605. 25 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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2026