Jeremy Henle

1.1k citations
14 papers · 796 indexed · 1 hit paper · h-index 11
Topics
Machine Learning in Materials Science (7 papers)Computational Drug Discovery Methods (5 papers)Asymmetric Hydrogenation and Catalysis (4 papers)
Partner nations
United StatesGermany

In The Last Decade

Jeremy Henle

13 papers receiving 778 citations

Hit Papers

Prediction of higher-selectivity catalysts by computer-dr...20192026202120232019100200300400

Peers

Jeremy Henle
Comparison fields: 5 of 70
  • Materials Chemistry 431
  • Computational Theory and Mathematics 255
  • Organic Chemistry 251
  • Inorganic Chemistry 176
  • Molecular Biology 152
Replace Andrew F. Zahrt with:
Andrew F. Zahrt United States
Jesús G. Estrada United States
William T. Darrow United States
Frederik Sandfort Germany
José E. Tábora United States
Yuran Wang China
Li‐Cheng Xu China
Thomas J. Struble United States
Sukriti Singh India
Ana G. Maldonado France
Jeremy Henle relative to Andrew F. Zahrt United States Andrew F. Zahrt's profile →
Citations per field
00.5×1.5×
Andrew F. Zahrt · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 2
2 0
3 13
4 16
5 18
6 42
7 63
8 11
9 21
10 41
11 32
12 50
13
Prediction of higher-selectivity catalysts by computer-driven workflow and machine learningbreakdown →
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14 8

About Jeremy Henle

Jeremy Henle is a scholar working on Inorganic Chemistry, Computational Theory and Mathematics and Catalysis, having authored 14 papers that have together received 796 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (5 papers) and Asymmetric Hydrogenation and Catalysis (4 papers). The work is most often cited by research in Computational Theory and Mathematics (255 citations), Catalysis (89 citations) and Inorganic Chemistry (176 citations). Jeremy Henle has collaborated with scholars based in United States and Germany. Frequent co-authors include Scott E. Denmark, Andrew F. Zahrt, William T. Darrow, Yang Wang, Shashank Shekhar, José G. Napolitano, Rodger F. Henry, Vincent Chan, Michael G. Fickes and David M. Barnes. Their work appears in journals such as Science, Journal of the American Chemical Society and Accounts of Chemical Research.

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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