D. Asthagiri

3.8k total citations
89 papers, 2.6k citations indexed

About

D. Asthagiri is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, D. Asthagiri has authored 89 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 42 papers in Atomic and Molecular Physics, and Optics and 24 papers in Materials Chemistry. Recurrent topics in D. Asthagiri's work include Spectroscopy and Quantum Chemical Studies (38 papers), Protein Structure and Dynamics (35 papers) and Enzyme Structure and Function (18 papers). D. Asthagiri is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (38 papers), Protein Structure and Dynamics (35 papers) and Enzyme Structure and Function (18 papers). D. Asthagiri collaborates with scholars based in United States, Switzerland and India. D. Asthagiri's co-authors include Lawrence R. Pratt, Abraham M. Lenhoff, Michael E. Paulaitis, Joel D. Kress, Susan B. Rempe, Walter G. Chapman, Maria A. Gomez, Valéry Weber, Purushottam D. Dixit and Philip M. Singer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

D. Asthagiri

86 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Asthagiri United States 30 1.1k 1.0k 681 419 395 89 2.6k
Surjit B. Dixit United States 21 1.4k 1.3× 693 0.7× 397 0.6× 275 0.7× 356 0.9× 38 2.6k
Alessandro Paciaroni Italy 31 1.5k 1.4× 1.2k 1.2× 1.1k 1.6× 353 0.8× 272 0.7× 142 3.3k
Dietmar Paschek Germany 38 1.1k 1.0× 896 0.9× 1.6k 2.3× 623 1.5× 952 2.4× 115 4.5k
Guillaume Lamoureux Canada 30 1.7k 1.6× 2.5k 2.4× 808 1.2× 685 1.6× 558 1.4× 66 4.7k
Ali Hassanali Italy 33 1.3k 1.2× 2.2k 2.1× 1.2k 1.8× 783 1.9× 698 1.8× 109 4.7k
Guillaume Stirnemann France 29 1.1k 1.0× 1.9k 1.8× 613 0.9× 530 1.3× 395 1.0× 67 3.0k
Paola Sassi Italy 31 695 0.6× 977 1.0× 643 0.9× 467 1.1× 362 0.9× 142 2.7k
Haibo Yu Australia 34 2.0k 1.9× 1.6k 1.5× 1.2k 1.7× 610 1.5× 426 1.1× 124 4.8k
Paul J. van Maaren Sweden 15 827 0.8× 1.3k 1.3× 823 1.2× 415 1.0× 650 1.6× 20 3.0k
Pernille Harris Denmark 31 1.0k 0.9× 646 0.6× 534 0.8× 269 0.6× 166 0.4× 133 2.8k

Countries citing papers authored by D. Asthagiri

Since Specialization
Citations

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

Fields of papers citing papers by D. Asthagiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Asthagiri

This figure shows the co-authorship network connecting the top 25 collaborators of D. Asthagiri. A scholar is included among the top collaborators of D. Asthagiri 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 D. Asthagiri. D. Asthagiri 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.
2.
Singer, Philip M., et al.. (2025). Characterization of kerogen nanopores using 2D NMR relaxation and MD simulations. PubMed. 5(4). 200220–200220.
3.
Asthagiri, D., et al.. (2025). Molecular-Level Insights into the NMR Relaxivity of Gadobutrol Using Quantum and Classical Molecular Simulations. Chemical & Biomedical Imaging. 3(9). 615–629. 4 indexed citations
4.
Chapman, Walter G., et al.. (2025). Extended molecular eigenmodes treatment of dipole–dipole NMR relaxation in real fluids. The Journal of Chemical Physics. 163(18).
5.
Chapman, Walter G., et al.. (2024). Molecular Modes Elucidate the Nuclear Magnetic Resonance Relaxation of Viscous Fluids. The Journal of Physical Chemistry B. 128(33). 8017–8028. 5 indexed citations
6.
Chapman, Walter G., et al.. (2024). Theory and modeling of molecular modes in the NMR relaxation of fluids. The Journal of Chemical Physics. 160(6). 5 indexed citations
7.
Asthagiri, D., et al.. (2023). Influence of Charge Block Length on Conformation and Solution Behavior of Polyampholytes. ACS Macro Letters. 12(2). 195–200. 7 indexed citations
8.
Chapman, Walter G., et al.. (2023). Effect of Nanoconfinement on NMR Relaxation of Heptane in Kerogen from Molecular Simulations and Measurements. The Journal of Physical Chemistry Letters. 14(4). 1059–1065. 10 indexed citations
9.
Asthagiri, D., et al.. (2023). Polarizability Plays a Decisive Role in Modulating Association between Molecular Cations and Anions. The Journal of Physical Chemistry Letters. 14(31). 7020–7026. 4 indexed citations
10.
Greenbaum, Steve, et al.. (2022). Thermal and concentration effects on 1H NMR relaxation of Gd3+-aqua using MD simulations and measurements. Physical Chemistry Chemical Physics. 24(45). 27964–27975. 8 indexed citations
11.
Singer, Philip M., et al.. (2021). Predicting1H NMR relaxation in Gd3+-aqua using molecular dynamics simulations. Physical Chemistry Chemical Physics. 23(37). 20974–20984. 12 indexed citations
12.
Asthagiri, D., Walter G. Chapman, George J. Hirasaki, & Philip M. Singer. (2020). NMR1H–1H Dipole Relaxation in Fluids: Relaxation of Individual1H–1H Pairs versus Relaxation of Molecular Modes. The Journal of Physical Chemistry B. 124(47). 10802–10810. 11 indexed citations
13.
Singer, Philip M., et al.. (2020). Critical Role of Confinement in the NMR Surface Relaxation and Diffusion of n-Heptane in a Polymer Matrix Revealed by MD Simulations. The Journal of Physical Chemistry B. 124(18). 3801–3810. 24 indexed citations
14.
Singer, Philip M., et al.. (2020). Elucidating the 1H NMR Relaxation Mechanism in Polydisperse Polymers and Bitumen Using Measurements, MD Simulations, and Models. The Journal of Physical Chemistry B. 124(20). 4222–4233. 29 indexed citations
15.
Gao, Ang, Liang Z. Tan, Mangesh I. Chaudhari, et al.. (2018). Role of Solute Attractive Forces in the Atomic-Scale Theory of Hydrophobic Effects. The Journal of Physical Chemistry B. 122(23). 6272–6276. 14 indexed citations
16.
Agarwal, Kitty, D. Asthagiri, Lianbo Yu, et al.. (2015). Breast Cancer–Specific miR Signature Unique to Extracellular Vesicles Includes “microRNA-like” tRNA Fragments. Molecular Cancer Research. 13(5). 891–901. 76 indexed citations
17.
Fouad, Wael A., et al.. (2015). Extensions of the SAFT model for complex association in the bulk and interface. Fluid Phase Equilibria. 416. 62–71. 10 indexed citations
18.
Dixit, Purushottam D. & D. Asthagiri. (2011). Thermodynamics of ion selectivity in the KcsA K+ channel. The Journal of General Physiology. 137(5). 427–433. 15 indexed citations
19.
Asthagiri, D., et al.. (2005). A Consistent Experimental and Modeling Approach to Light-Scattering Studies of Protein-Protein Interactions in Solution. Biophysical Journal. 88(5). 3300–3309. 44 indexed citations
20.
Asthagiri, D., et al.. (1999). Calculation of short-range interactions between proteins. Biophysical Chemistry. 78(3). 219–231. 43 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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