Tej S. Choksi

1.6k total citations
42 papers, 1.3k citations indexed

About

Tej S. Choksi is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Catalysis. According to data from OpenAlex, Tej S. Choksi has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Materials Chemistry, 21 papers in Renewable Energy, Sustainability and the Environment and 12 papers in Catalysis. Recurrent topics in Tej S. Choksi's work include Catalytic Processes in Materials Science (21 papers), Electrocatalysts for Energy Conversion (16 papers) and Machine Learning in Materials Science (12 papers). Tej S. Choksi is often cited by papers focused on Catalytic Processes in Materials Science (21 papers), Electrocatalysts for Energy Conversion (16 papers) and Machine Learning in Materials Science (12 papers). Tej S. Choksi collaborates with scholars based in Singapore, United States and France. Tej S. Choksi's co-authors include Frank Abild‐Pedersen, Jeffrey Greeley, Verena Streibel, Luke T. Roling, Eduardo Valle, Melis S. Duyar, Jonathan L. Snider, Thomas F. Jaramillo, D. Chester Upham and McKenzie A. Hubert and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Tej S. Choksi

42 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tej S. Choksi Singapore 19 902 663 480 328 126 42 1.3k
Hongchen Guo China 17 1.1k 1.2× 519 0.8× 815 1.7× 384 1.2× 168 1.3× 23 1.6k
Yizhou Dai China 11 912 1.0× 1.2k 1.8× 688 1.4× 322 1.0× 127 1.0× 18 1.7k
Aliaksei Mazheika Germany 11 697 0.8× 498 0.8× 318 0.7× 151 0.5× 87 0.7× 20 926
Jhon Quiroz Brazil 16 816 0.9× 429 0.6× 409 0.9× 261 0.8× 160 1.3× 24 1.1k
Junguo Ma China 17 930 1.0× 672 1.0× 915 1.9× 243 0.7× 195 1.5× 20 1.5k
Cody J. Wrasman United States 16 1.1k 1.2× 541 0.8× 558 1.2× 165 0.5× 144 1.1× 24 1.4k
Soonho Kwon United States 18 655 0.7× 1.0k 1.5× 536 1.1× 606 1.8× 42 0.3× 47 1.6k
Jiahui Bi China 20 552 0.6× 1.3k 2.0× 756 1.6× 378 1.2× 62 0.5× 33 1.6k
Xunzhu Jiang China 10 906 1.0× 720 1.1× 372 0.8× 201 0.6× 139 1.1× 19 1.3k
Yanran Cui United States 17 1.1k 1.3× 531 0.8× 536 1.1× 235 0.7× 274 2.2× 30 1.4k

Countries citing papers authored by Tej S. Choksi

Since Specialization
Citations

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

Fields of papers citing papers by Tej S. Choksi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tej S. Choksi

This figure shows the co-authorship network connecting the top 25 collaborators of Tej S. Choksi. A scholar is included among the top collaborators of Tej S. Choksi 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 Tej S. Choksi. Tej S. Choksi 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.
Choksi, Tej S., et al.. (2025). Robust Oxygen Evolution on Ni-Doped MoO3: Overcoming Activity–Stability Trade-Off in Alkaline Water Splitting. PubMed. 2(4). 241–252. 2 indexed citations
2.
Rajagopalan, Raghavan, et al.. (2025). Advances in CO2 reduction on bulk and two-dimensional electrocatalysts: From first principles to experimental outcomes. Current Opinion in Electrochemistry. 51. 101668–101668. 1 indexed citations
3.
Lee, Bryan, et al.. (2025). Harnessing physics-inspired machine learning to design nanocluster catalysts for dehydrogenating liquid organic hydrogen carriers. Applied Catalysis B: Environmental. 371. 125192–125192. 2 indexed citations
4.
Qian, Kaicheng, Renhong Li, James Kwan, et al.. (2024). Harnessing Ultrasound‐Derived Hydroxyl Radicals for the Selective Oxidation of Aldehyde Functions. ChemSusChem. 17(24). e202400838–e202400838. 6 indexed citations
5.
Xiao, Yonghao, Khokan Choudhuri, Xinwen Hu, et al.. (2024). Machine‐Learning‐Assisted Discovery of Mechanosynthesized Lead‐Free Metal Halide Perovskites for the Oxidative Photocatalytic Cleavage of Alkenes. Advanced Science. 11(29). e2309714–e2309714. 13 indexed citations
6.
Su, Xiaoqian, Mingwu Tan, Longgang Tao, et al.. (2024). Boosting energy efficiency and selectivity of glucose oxidation toward glucuronic acid in high-frequency ultrasound using multicavity CuO catalytic cavitation agents. Green Chemistry. 27(3). 573–585. 4 indexed citations
7.
Trịnh, Quang Thang, et al.. (2024). Generalized Principles for the Descriptor-Based Design of Supported Gold Catalysts. ACS Catalysis. 14(18). 13839–13859. 14 indexed citations
8.
Hu, Xiaochun, Mingwu Tan, Yuqing Luo, et al.. (2023). Investigating the impact of dynamic structural changes of Au/rutile catalysts on the catalytic activity of CO oxidation. Carbon Energy. 6(4). 4 indexed citations
9.
Koh, See Wee, Arramel Arramel, Muhammad Danang Birowosuto, et al.. (2023). Tuning the Work Function of MXene via Surface Functionalization. ACS Applied Materials & Interfaces. 16(49). 66826–66836. 39 indexed citations
10.
Choksi, Tej S., et al.. (2023). The design and optimization of heterogeneous catalysts using computational methods. Catalysis Science & Technology. 14(3). 515–532. 25 indexed citations
11.
Koh, See Wee, et al.. (2023). Predicting the work function of 2D MXenes using machine-learning methods. Journal of Physics Energy. 5(3). 34005–34005. 34 indexed citations
12.
Stenlid, Joakim Halldin, Verena Streibel, Tej S. Choksi, & Frank Abild‐Pedersen. (2023). Assessing catalytic rates of bimetallic nanoparticles with active-site specificity: A case study using NO decomposition. Chem Catalysis. 3(5). 100636–100636. 7 indexed citations
13.
Yam, Kah Meng, Albertus D. Handoko, Ying Chuan Tan, et al.. (2023). Covalency-aided electrochemical CO2 reduction to CO on sulfide-derived Cu–Sb. Journal of Materials Chemistry A. 12(3). 1840–1851. 7 indexed citations
14.
Choksi, Tej S., et al.. (2022). Data-driven methods to predict the stability metrics of catalytic nanoparticles. Current Opinion in Chemical Engineering. 36. 100797–100797. 3 indexed citations
15.
Streibel, Verena, Hassan Aljama, An‐Chih Yang, et al.. (2022). Microkinetic Modeling of Propene Combustion on a Stepped, Metallic Palladium Surface and the Importance of Oxygen Coverage. ACS Catalysis. 12(3). 1742–1757. 19 indexed citations
16.
Li, Yuheng, et al.. (2022). H2O and CO2 surface contamination of the lithium garnet Li7La3Zr2O12 solid electrolyte. Journal of Materials Chemistry A. 10(9). 4960–4973. 13 indexed citations
17.
Li, Xiaogang, Shasha Tang, Shuo Dou, et al.. (2021). Molecule Confined Isolated Metal Sites Enable the Electrocatalytic Synthesis of Hydrogen Peroxide. Advanced Materials. 34(25). e2104891–e2104891. 80 indexed citations
18.
Liu, Guanyu, Parvathala Reddy Narangari, Quang Thang Trịnh, et al.. (2021). Manipulating Intermediates at the Au–TiO2 Interface over InP Nanopillar Array for Photoelectrochemical CO2 Reduction. ACS Catalysis. 11(18). 11416–11428. 76 indexed citations
19.
Tao, Longgang, Tej S. Choksi, Wen Liu, & Javier Pérez‐Ramírez. (2020). Cover Feature: Synthesizing High‐Volume Chemicals from CO2 without Direct H2 Input (ChemSusChem 23/2020). ChemSusChem. 13(23). 6049–6049. 4 indexed citations
20.
Yang, An‐Chih, Tej S. Choksi, Verena Streibel, et al.. (2020). Revealing the structure of a catalytic combustion active-site ensemble combining uniform nanocrystal catalysts and theory insights. Proceedings of the National Academy of Sciences. 117(26). 14721–14729. 27 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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