Jeremy Henle

1.1k total citations · 1 hit paper
14 papers, 796 citations indexed

About

Jeremy Henle is a scholar working on Materials Chemistry, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Jeremy Henle has authored 14 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 6 papers in Organic Chemistry and 5 papers in Computational Theory and Mathematics. Recurrent topics in Jeremy Henle's work include Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (5 papers) and Asymmetric Hydrogenation and Catalysis (4 papers). Jeremy Henle is often cited by papers focused on Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (5 papers) and Asymmetric Hydrogenation and Catalysis (4 papers). Jeremy Henle collaborates with scholars based in United States and Germany. Jeremy Henle's co-authors include Scott E. Denmark, Andrew F. Zahrt, William T. Darrow, Yang Wang, Shashank Shekhar, José G. Napolitano, Rodger F. Henry, Vincent Chan, Brian Kotecki and Travis B. Dunn and has published in prestigious journals such as Science, Journal of the American Chemical Society and Accounts of Chemical Research.

In The Last Decade

Jeremy Henle

13 papers receiving 778 citations

Hit Papers

align trajectories

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.

Prediction of higher-selectivity catalysts by computer-driven workflow and machine learning

2019 479 citations Andrew F. Zahrt, Jeremy Henle et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeremy Henle United States	11	431	255	251	176	152	14	796
Jesús G. Estrada United States	4	488 1.1×	324 1.3×	252 1.0×	117 0.7×	178 1.2×	4	882
William T. Darrow United States	5	361 0.8×	204 0.8×	131 0.5×	119 0.7×	109 0.7×	6	578
Thomas J. Struble United States	10	350 0.8×	269 1.1×	181 0.7×	158 0.9×	137 0.9×	12	707
Andrew F. Zahrt United States	13	598 1.4×	342 1.3×	481 1.9×	273 1.6×	208 1.4×	18	1.3k
Frederik Sandfort Germany	13	395 0.9×	269 1.1×	917 3.7×	136 0.8×	175 1.2×	20	1.4k
Yuran Wang China	10	395 0.9×	158 0.6×	123 0.5×	121 0.7×	154 1.0×	31	776
José E. Tábora United States	15	499 1.2×	90 0.4×	108 0.4×	254 1.4×	76 0.5×	25	861
Sukriti Singh India	17	564 1.3×	81 0.3×	607 2.4×	296 1.7×	100 0.7×	39	1.2k
Li‐Cheng Xu China	9	226 0.5×	139 0.5×	138 0.5×	88 0.5×	70 0.5×	17	404
Felix Schäfer Germany	13	248 0.6×	64 0.3×	586 2.3×	228 1.3×	81 0.5×	18	943

Countries citing papers authored by Jeremy Henle

Since Specialization

Citations

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

Fields of papers citing papers by Jeremy Henle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Henle

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

All Works

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14 of 14 papers shown

Zwick, Christian R., Jeremy Henle, Anna V. Bay, et al.. (2025). Development of a Thioetherification of Heteroarene Electrophiles with Broad Scope via a Proton Transfer Dual Ionization Mechanism. Journal of the American Chemical Society. 147(8). 2 indexed citations

Henle, Jeremy, Naveen Kumar Kaushik, Wilfried M. Braje, et al.. (2025). Leveraging Data Science to Elucidate Ligand Features for Pd-Catalyzed Enantioretentive N-Arylations of Cyclic α-Substituted Amines in Aqueous Media. Journal of the American Chemical Society. 147(32). 28981–28992.

Zhou, Yong, Kaid C. Harper, Eric R. Sacia, et al.. (2022). Continuous Process to Safely Manufacture an Aryldiazoacetate and Its Direct Use in a Dirhodium-Catalyzed Enantioselective Cyclopropanation. Organic Process Research & Development. 27(1). 90–104. 13 indexed citations

Zahrt, Andrew F., et al.. (2021). Computational methods for training set selection and error assessment applied to catalyst design: guidelines for deciding which reactions to run first and which to run next. Reaction Chemistry & Engineering. 6(4). 694–708. 16 indexed citations

Lexa, Katrina W., Kevin M. Belyk, Jeremy Henle, et al.. (2021). Application of Machine Learning and Reaction Optimization for the Iterative Improvement of Enantioselectivity of Cinchona-Derived Phase Transfer Catalysts. Organic Process Research & Development. 26(3). 670–682. 18 indexed citations

Zahrt, Andrew F., et al.. (2021). Dreams, False Starts, Dead Ends, and Redemption: A Chronicle of the Evolution of a Chemoinformatic Workflow for the Optimization of Enantioselective Catalysts. Accounts of Chemical Research. 54(9). 2041–2054. 42 indexed citations

Henle, Jeremy, et al.. (2020). Development of a Computer-Guided Workflow for Catalyst Optimization. Descriptor Validation, Subset Selection, and Training Set Analysis. Journal of the American Chemical Society. 142(26). 11578–11592. 63 indexed citations

Henle, Jeremy, et al.. (2020). Pd-Catalyzed Cross-Coupling of Hindered, Electron-Deficient Anilines with Bulky (Hetero)aryl Halides Using Biaryl Phosphorinane Ligands. ACS Catalysis. 10(24). 15008–15018. 21 indexed citations

Zahrt, Andrew F., Jeremy Henle, & Scott E. Denmark. (2020). Cautionary Guidelines for Machine Learning Studies with Combinatorial Datasets. ACS Combinatorial Science. 22(11). 586–591. 41 indexed citations

10.

Kallemeyn, Jeffrey M., Kenneth M. Engstrom, Matthew J. Pelc, et al.. (2020). Development of a Large-Scale Route to Glecaprevir: Synthesis of the Macrocycle via Intramolecular Etherification. Organic Process Research & Development. 24(8). 1373–1392. 11 indexed citations

11.

Cink, Russell D., K. A. LUKIN, Richard D. Bishop, et al.. (2019). Development of the Enabling Route for Glecaprevir via Ring-Closing Metathesis. Organic Process Research & Development. 24(2). 183–200. 32 indexed citations

12.

Chan, Vincent, Michael G. Fickes, Brian Kotecki, et al.. (2019). Pd-Catalyzed Cross-Coupling Reactions Promoted by Biaryl Phosphorinane Ligands. ACS Catalysis. 9(12). 11691–11708. 50 indexed citations

13.

Zahrt, Andrew F., et al.. (2019). Prediction of higher-selectivity catalysts by computer-driven workflow and machine learning. Science. 363(6424). 479 indexed citations breakdown →

14.

Denmark, Scott E. & Jeremy Henle. (2015). Redefining q: quaternary ammonium cross sectional area (XSA) as a general descriptor for transport-limiting PTC rate approximations. Chemical Science. 6(4). 2211–2218. 8 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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