Jindal K. Shah

4.2k total citations · 1 hit paper
52 papers, 3.5k citations indexed

About

Jindal K. Shah is a scholar working on Catalysis, Biomedical Engineering and Electrochemistry. According to data from OpenAlex, Jindal K. Shah has authored 52 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Catalysis, 23 papers in Biomedical Engineering and 14 papers in Electrochemistry. Recurrent topics in Jindal K. Shah's work include Ionic liquids properties and applications (42 papers), Phase Equilibria and Thermodynamics (20 papers) and Electrochemical Analysis and Applications (14 papers). Jindal K. Shah is often cited by papers focused on Ionic liquids properties and applications (42 papers), Phase Equilibria and Thermodynamics (20 papers) and Electrochemical Analysis and Applications (14 papers). Jindal K. Shah collaborates with scholars based in United States, India and Portugal. Jindal K. Shah's co-authors include Edward J. Maginn, Joan F. Brennecke, Jennifer L. Anthony, Timothy I. Morrow, Utkarsh Kapoor, Pratik Dhakal, Brian Yoo, Yingxi Zhu, Andrew S. Paluch and Burcu Gurkan and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Jindal K. Shah

49 papers receiving 3.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Why Is CO₂ So Soluble in Imidazolium-Based Ionic Liquids?

2004 1.3k citations Jindal K. Shah, Edward J. Maginn et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jindal K. Shah United States	26	2.7k	1.2k	1.0k	466	462	52	3.5k
Mitsuhiro Kanakubo Japan	33	3.1k 1.1×	1.4k 1.2×	684 0.7×	741 1.6×	222 0.5×	143	4.0k
Vitaly V. Chaban Brazil	31	1.4k 0.5×	757 0.6×	506 0.5×	356 0.8×	310 0.7×	148	3.3k
Jason A. Widegren United States	22	2.8k 1.0×	1.2k 1.0×	583 0.6×	783 1.7×	466 1.0×	49	5.5k
Gregorio García Spain	24	1.5k 0.6×	620 0.5×	546 0.5×	235 0.5×	97 0.2×	83	2.8k
Keith E. Gutowski United States	16	1.7k 0.6×	393 0.3×	638 0.6×	509 1.1×	106 0.2×	18	2.9k
Alfonso S. Pensado Spain	31	1.5k 0.5×	774 0.7×	468 0.4×	470 1.0×	98 0.2×	44	2.2k
Jiqin Zhu China	25	1.1k 0.4×	629 0.5×	549 0.5×	116 0.2×	346 0.7×	86	2.0k
Yauheni U. Paulechka Belarus	26	2.3k 0.8×	1.1k 0.9×	273 0.3×	374 0.8×	72 0.2×	49	3.0k
Dzmitry H. Zaitsau Germany	34	2.6k 1.0×	1.6k 1.4×	259 0.2×	475 1.0×	121 0.3×	148	4.6k
B. L. Bhargava India	22	1.9k 0.7×	384 0.3×	200 0.2×	674 1.4×	98 0.2×	51	2.1k

Countries citing papers authored by Jindal K. Shah

Since Specialization

Citations

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

Fields of papers citing papers by Jindal K. Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jindal K. Shah. 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 Jindal K. Shah. The network helps show where Jindal K. Shah may publish in the future.

Co-authorship network of co-authors of Jindal K. Shah

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

All Works

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20 of 20 papers shown

Chauhan, Rohit, et al.. (2025). Identifying High Ionic Conductivity Compositions of Ionic Liquid Electrolytes Using Features of the Solvation Environment. Journal of Chemical Theory and Computation. 21(4). 1929–1940.

Shah, Jindal K., et al.. (2025). Predicting Ionic Conductivity of Imidazolium-Based Ionic Liquid Mixtures Using Quantum-Mechanically Derived Partial Charges in the Condensed Phase. The Journal of Physical Chemistry B. 129(9). 2546–2559. 3 indexed citations

Liu, Chenang, et al.. (2024). A user-centered smart inhaler algorithm for targeted drug delivery in juvenile onset recurrent respiratory papillomatosis treatment integrating computational fluid particle dynamics and machine learning. Physics of Fluids. 36(2). 3 indexed citations

Mishra, Rashmi, et al.. (2024). Role of Intermolecular Interactions in Deep Eutectic Solvents for CO ₂ Capture: Vibrational Spectroscopy and Quantum Chemical Studies. The Journal of Physical Chemistry B. 128(41). 10214–10229. 9 indexed citations

Chauhan, Rohit, et al.. (2024). High-throughput measurements of CO2 permeance and solubility in ionic liquid reveal a synergistic role of ionic interactions and void fractions. Chemical Engineering Journal. 496. 153697–153697. 4 indexed citations

Dhakal, Pratik & Jindal K. Shah. (2022). A generalized machine learning model for predicting ionic conductivity of ionic liquids. Molecular Systems Design & Engineering. 7(10). 1344–1353. 31 indexed citations

Prajapati, Aditya, Tomás Rojas, Naveen K. Dandu, et al.. (2022). Migration-assisted, moisture gradient process for ultrafast, continuous CO₂ capture from dilute sources at ambient conditions. Energy & Environmental Science. 15(2). 680–692. 50 indexed citations

Fatima, Urooj, Riyazuddeen, Pratik Dhakal, & Jindal K. Shah. (2020). Comparative Study of Influence of Ethanol and 2,2,2-Trifluoroethanol on Thermophysical Properties of 1-Ethyl-3-methylimidazolium Dicyanamide in Binary Mixtures: Experimental and MD Simulations. Journal of Chemical & Engineering Data. 66(1). 101–115. 26 indexed citations

Kapoor, Utkarsh, et al.. (2019). Evaluation of the predictive capability of ionic liquid force fields for CH4, CO2, NH3, and SO2 phase equilibria. Fluid Phase Equilibria. 492. 161–173. 16 indexed citations

10.

Kapoor, Utkarsh & Jindal K. Shah. (2018). Molecular Origins of the Apparent Ideal CO₂ Solubilities in Binary Ionic Liquid Mixtures. The Journal of Physical Chemistry B. 122(42). 9763–9774. 17 indexed citations

11.

Kapoor, Utkarsh & Jindal K. Shah. (2018). Effect of molecular solvents of varying polarity on the self-assembly of 1-n-dodecyl-3-methylimidazolium octylsulfate ionic liquid. Journal of Theoretical and Computational Chemistry. 17(3). 1840004–1840004. 3 indexed citations

12.

Shah, Jindal K., et al.. (2017). Molecular Simulation Study of the Performance of Supported Ionic Liquid Phase Materials for the Separation of Carbon Dioxide from Methane and Hydrogen. Industrial & Engineering Chemistry Research. 56(23). 6775–6784. 34 indexed citations

13.

Kapoor, Utkarsh & Jindal K. Shah. (2017). Globular, Sponge-like to Layer-like Morphological Transition in 1-n-Alkyl-3-methylimidazolium Octylsulfate Ionic Liquid Homologous Series. The Journal of Physical Chemistry B. 122(1). 213–228. 21 indexed citations

14.

Yoo, Brian, Benxin Jing, Stuart E. Jones, et al.. (2016). Molecular mechanisms of ionic liquid cytotoxicity probed by an integrated experimental and computational approach. Scientific Reports. 6(1). 19889–19889. 101 indexed citations

15.

Marin‐Rimoldi, Eliseo, Jindal K. Shah, & Edward J. Maginn. (2015). Monte Carlo simulations of water solubility in ionic liquids: A force field assessment. Fluid Phase Equilibria. 407. 117–125. 27 indexed citations

16.

Yoo, Brian, Jindal K. Shah, Yingxi Zhu, & Edward J. Maginn. (2014). Amphiphilic interactions of ionic liquids with lipid biomembranes: a molecular simulation study. Soft Matter. 10(43). 8641–8651. 120 indexed citations

17.

Shah, Jindal K., et al.. (2013). State of Hydrophobic and Hydrophilic Ionic Liquids in Aqueous Solutions: Are the Ions Fully Dissociated?. The Journal of Physical Chemistry B. 117(41). 12556–12566. 99 indexed citations

18.

Shah, Jindal K. & Edward J. Maginn. (2011). A general and efficient Monte Carlo method for sampling intramolecular degrees of freedom of branched and cyclic molecules. The Journal of Chemical Physics. 135(13). 134121–134121. 77 indexed citations

19.

Paluch, Andrew S., Jindal K. Shah, & Edward J. Maginn. (2011). Efficient Solvation Free Energy Calculations of Amino Acid Analogs by Expanded Ensemble Molecular Simulation. Journal of Chemical Theory and Computation. 7(5). 1394–1403. 26 indexed citations

20.

Priya, M. Hamsa, Jindal K. Shah, D. Asthagiri, & Michael E. Paulaitis. (2008). Distinguishing Thermodynamic and Kinetic Views of the Preferential Hydration of Protein Surfaces. Biophysical Journal. 95(5). 2219–2225. 10 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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