Divya Nayar

848 total citations
29 papers, 668 citations indexed

About

Divya Nayar is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Divya Nayar has authored 29 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Materials Chemistry and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Divya Nayar's work include Protein Structure and Dynamics (16 papers), Material Dynamics and Properties (7 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Divya Nayar is often cited by papers focused on Protein Structure and Dynamics (16 papers), Material Dynamics and Properties (7 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). Divya Nayar collaborates with scholars based in India, Germany and Slovakia. Divya Nayar's co-authors include Nico F. A. van der Vegt, Charusita Chakravarty, Manish Agarwal, Valeria Molinero, Debdas Dhabal, Wouter K. den Otter, Ioana M. Ilie, W. J. Briels, U. Deva Priyakumar and Sanjoy Bandyopadhyay and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Divya Nayar

28 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Divya Nayar India 14 249 243 170 137 105 29 668
Prabhakar Bhimalapuram India 9 172 0.7× 222 0.9× 175 1.0× 136 1.0× 64 0.6× 24 568
Emiliano Brini United States 13 529 2.1× 411 1.7× 192 1.1× 184 1.3× 86 0.8× 21 1.1k
Divesh Bhatt United States 16 175 0.7× 186 0.8× 166 1.0× 113 0.8× 74 0.7× 21 571
Nandou Lu United States 9 161 0.6× 295 1.2× 292 1.7× 158 1.2× 39 0.4× 12 634
Masaaki Kawata Japan 14 178 0.7× 275 1.1× 234 1.4× 78 0.6× 84 0.8× 32 767
Anna‐Pitschna E. Kunz Switzerland 9 157 0.6× 306 1.3× 271 1.6× 70 0.5× 54 0.5× 13 590
T. Zykova-Timan Italy 10 262 1.1× 148 0.6× 122 0.7× 95 0.7× 40 0.4× 15 569
Michele Parrinello Italy 6 361 1.4× 233 1.0× 161 0.9× 74 0.5× 78 0.7× 7 827
Bo Svensson Sweden 17 317 1.3× 408 1.7× 191 1.1× 124 0.9× 115 1.1× 30 1.0k
Ana Vila Verde Germany 17 168 0.7× 277 1.1× 362 2.1× 111 0.8× 88 0.8× 40 856

Countries citing papers authored by Divya Nayar

Since Specialization
Citations

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

Fields of papers citing papers by Divya Nayar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divya Nayar

This figure shows the co-authorship network connecting the top 25 collaborators of Divya Nayar. A scholar is included among the top collaborators of Divya Nayar 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 Divya Nayar. Divya Nayar 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.
Tiemann, Michael, et al.. (2025). Disaggregation at High Volume Exclusion: An “Overcrowding” Effect. The Journal of Physical Chemistry B. 129(40). 10213–10228. 2 indexed citations
2.
Richter, Asta, et al.. (2025). Self-Assembly of Pseudo Isocyanine Chloride in the Presence of Attractive Polyethylene Glycol Crowders. The Journal of Physical Chemistry B. 129(25). 6115–6126. 1 indexed citations
3.
Nayar, Divya, et al.. (2024). Effects of Polymer Architecture and Charged Molecular Crowders on Hydrophobic Polymer Collapse. SHILAP Revista de lepidopterología. 4(4). 289–301. 3 indexed citations
4.
Nayar, Divya, et al.. (2024). Differential local ordering of mixed crowders determines effective size and stability of ss-DNA capped gold nanoparticle. The Journal of Chemical Physics. 160(1). 1 indexed citations
5.
Srivastava, Rakesh, et al.. (2024). PLAS-20k: Extended Dataset of Protein-Ligand Affinities from MD Simulations for Machine Learning Applications. Scientific Data. 11(1). 180–180. 16 indexed citations
6.
Nayar, Divya, et al.. (2024). In Silico View of Crowding: Biomolecular Processes to Nanomaterial Design. ACS Omega. 9(28). 29953–29965.
7.
Huber, Klaus, et al.. (2023). Ethylene glycol energetically disfavours oligomerization of pseudoisocyanine dyestuffs at crowded concentrations. Soft Matter. 19(33). 6399–6413. 4 indexed citations
8.
Nayar, Divya. (2023). Molecular Crowders Can Induce Collapse in Hydrophilic Polymers via Soft Attractive Interactions. The Journal of Physical Chemistry B. 127(28). 6265–6276. 8 indexed citations
9.
Reddy, Sandeep K., et al.. (2023). Structure, energetics and dynamics in crowded amino acid solutions: a molecular dynamics study. Physical Chemistry Chemical Physics. 25(7). 5430–5442. 3 indexed citations
10.
Mehta, Sarvesh, et al.. (2022). PLAS-5k: Dataset of Protein-Ligand Affinities from Molecular Dynamics for Machine Learning Applications. Scientific Data. 9(1). 548–548. 16 indexed citations
11.
Nayar, Divya, et al.. (2021). Crowding effects on water-mediated hydrophobic interactions. The Journal of Chemical Physics. 155(2). 24903–24903. 8 indexed citations
12.
Nayar, Divya, et al.. (2020). A cosolvent surfactant mechanism affects polymer collapse in miscible good solvents. Communications Chemistry. 3(1). 165–165. 29 indexed citations
13.
Nayar, Divya, et al.. (2018). Convergence of Kirkwood–Buff Integrals of Ideal and Nonideal Aqueous Solutions Using Molecular Dynamics Simulations. The Journal of Physical Chemistry B. 122(21). 5515–5526. 66 indexed citations
14.
Ilie, Ioana M., Divya Nayar, Wouter K. den Otter, Nico F. A. van der Vegt, & W. J. Briels. (2018). Intrinsic Conformational Preferences and Interactions in α-Synuclein Fibrils: Insights from Molecular Dynamics Simulations. Journal of Chemical Theory and Computation. 14(6). 3298–3310. 25 indexed citations
15.
Vegt, Nico F. A. van der & Divya Nayar. (2017). The Hydrophobic Effect and the Role of Cosolvents. The Journal of Physical Chemistry B. 121(43). 9986–9998. 101 indexed citations
16.
Nayar, Divya, et al.. (2016). Comparison of hydration behavior and conformational preferences of the Trp-cage mini-protein in different rigid-body water models. Physical Chemistry Chemical Physics. 18(48). 32796–32813. 14 indexed citations
17.
Nayar, Divya & Charusita Chakravarty. (2013). Water and water-like liquids: relationships between structure, entropy and mobility. Physical Chemistry Chemical Physics. 15(34). 14162–14162. 64 indexed citations
18.
Nayar, Divya, et al.. (2012). Water and other tetrahedral liquids: order, anomalies and solvation. Journal of Physics Condensed Matter. 24(28). 284116–284116. 52 indexed citations
19.
Nayar, Divya, et al.. (2012). Relating Structure, Entropy, and Energy of Solvation of Nanoscale Solutes: Application to Gold Nanoparticle Dispersions. The Journal of Physical Chemistry B. 116(43). 13124–13132. 10 indexed citations
20.
Nayar, Divya, Manish Agarwal, & Charusita Chakravarty. (2011). Comparison of Tetrahedral Order, Liquid State Anomalies, and Hydration Behavior of mTIP3P and TIP4P Water Models. Journal of Chemical Theory and Computation. 7(10). 3354–3367. 81 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 Prabhakar Bhimalapuram Breakdown of academic impact, for papers by Emiliano Brini Breakdown of academic impact, for papers by Divesh Bhatt Breakdown of academic impact, for papers by Nandou Lu Breakdown of academic impact, for papers by Masaaki Kawata Breakdown of academic impact, for papers by Anna‐Pitschna E. Kunz Breakdown of academic impact, for papers by T. Zykova-Timan Breakdown of academic impact, for papers by Michele Parrinello Breakdown of academic impact, for papers by Bo Svensson Breakdown of academic impact, for papers by Ana Vila Verde
Rankless by CCL
2026