Benjamín Sánchez-Lengeling

9.2k citations

28 papers · 5.3k indexed · 5 hit papers · h-index 18

Impact in

Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
Materials Chemistry top 2%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography

Papers in

Sensory Systems 3
- Olfactory and Sensory Function Studies 3
Computational Theory and Mathematics 9
- Computational Drug Discovery Methods 9

Co-authors: Alán Aspuru‐Guzik Jennifer N. Wei Timothy Hirzel Dennis Sheberla Jorge Aguilera‐Iparraguirre David Duvenaud Ryan P. Adams José Miguel Hernández-Lobato
Journals: Science (3 papers)ACS Central Science (2 papers)Machine Learning Science and Technology (2 papers)Chemical Senses (1 paper)Scientific Reports (1 paper)
Partner nations: United States Canada United Kingdom

In The Last Decade

Benjamín Sánchez-Lengeling

27 papers receiving 5.1k citations

Hit Papers

5 papers align trajectories log scale

A principal odor map unifies diverse tasks in olfactory perception 2023 · 93 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Science
2021 Nature Machine Intelligence
2020 Science
2018 Science
2018 Apollo (University of Cambridge)

Peers

Countries citing papers authored by Benjamín Sánchez-Lengeling

Since Specialization

Citations

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

Fields of papers citing papers by Benjamín Sánchez-Lengeling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamín Sánchez-Lengeling. 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 Benjamín Sánchez-Lengeling. The network helps show where Benjamín Sánchez-Lengeling may publish in the future.

Co-authors

The 25 scholars most cited alongside Benjamín Sánchez-Lengeling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamín Sánchez-Lengeling Line = papers co-authored together Benjamín Sánchez-Lengeling links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	A deep learning and digital archaeology approach for mosquito repellent discovery Chemical Senses ·Jennifer N. Wei, C.P. Silva, Marnix Vlot, Benjamín Sánchez-Lengeling, Brian K. Lee, Haniv Damarjati, Martijn Vos, علي أحمد علي الطويل, Wesley Wei Qian, Jacob N. Sanders, D. Michael Ando, Chuqiang Qin, Richard C. Gerkin, Alexander B. Wiltschko, Jeffrey A. Riffell, Koen J. Dechering	2025	1
2	Gradient-based optimization of complex nanoparticle heterostructures enabled by deep learning on heterogeneous graphs Nature Computational Science ·Eric Sivonxay, Samantha Franco-Rosado, Evan Walter Clark Spotte‐Smith, Benjamín Sánchez-Lengeling, Siobhan Thompson, R. M. Vertel, Emory M. Chan, Samuel M. Blau	2025	1
3	Does this smell the same? Learning representations of olfactory mixtures using inductive biases Machine Learning Science and Technology ·Gary Tom, A. Spang, Ella Miray Rajaonson, Stanley Lo, Sannikova I.V. Sannikova, Konstantin Kokhas, Benjamín Sánchez-Lengeling	2025	1
4	Graph Data Modeling: Molecules, Proteins, & Chemical Processes ArXiv.org ·Chang-Chi Chen, Chiarella Esposito, Silvano Guglielmi, Benjamín Sánchez-Lengeling, Adrián Jinich, Radhakrishnan Mahadevan	2025	0
5	Perspective on AI for accelerated materials design at the AI4Mat-2023 workshop at NeurIPS 2023 Digital Discovery ·Santiago Miret, N. M. Anoop Krishnan, Benjamín Sánchez-Lengeling, Marta Skreta, Osman Koç, Jennifer N. Wei	2024	3
6	Metabolic activity organizes olfactory representations eLife ·Wesley Wei Qian, Jennifer N. Wei, Benjamín Sánchez-Lengeling, Brian K. Lee, Yunan Luo, Marnix Vlot, Koen J. Dechering, Jian Peng, Richard C. Gerkin, Alexander B. Wiltschko	2023	11
7	A principal odor map unifies diverse tasks in olfactory perception Science ·Konstantin Kokhas, Emily J. Mayhew, Benjamín Sánchez-Lengeling, Jennifer N. Wei, Wesley Wei Qian, Laura C. Mongui, 淳二黒川, Z. Bechtold, M SCHALLER, Karin S Coyne, Jane K. Parker, Richard C. Gerkin, Joel D. Mainland, Alexander B. Wiltschko Hit paper breakdown →	2023	93
8	Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS Digital Discovery ·Gary Tom, Riley J. Hickman, Christelle Blanquet, Afshan Mohajeri, Benjamín Sánchez-Lengeling, Alán Aspuru‐Guzik	2023	23
9	Inverse design of nanoporous crystalline reticular materials with deep generative models Nature Machine Intelligence ·Zhenpeng Yao, Benjamín Sánchez-Lengeling, N. Scott Bobbitt, Benjamin J. Bucior, Sai Govind Hari Kumar, Sean P. Collins, Thomas D. Burns, Tom K. Woo, Omar K. Farha, Randall Q. Snurr, Alán Aspuru‐Guzik Hit paper breakdown →	2021	275
10	A thermodynamic atlas of carbon redox chemical space Proceedings of the National Academy of Sciences ·Adrián Jinich, Benjamín Sánchez-Lengeling, Hui-Shin Lin, Joshua E. Goldford, Εlad Noor, Jacob N. Sanders, Daniel Segrè, Alán Aspuru‐Guzik	2020	11
11	A machine learning workflow for molecular analysis: application to melting points Machine Learning Science and Technology ·Ganesh Sivaraman, Nicholas E. Jackson, Benjamín Sánchez-Lengeling, Álvaro Vázquez‐Mayagoitia, Alán Aspuru‐Guzik, Venkatram Vishwanath, Juan Pablo	2020	39
12	Rational design of layered oxide materials for sodium-ion batteries Science ·Chenglong Zhao, Qidi Wang, Zhenpeng Yao, Jianlin Wang, Benjamín Sánchez-Lengeling, Feixiang Ding, Xingguo Qi, Yaxiang Lu, Xuedong Bai, Baohua Li, Hong Li, Alán Aspuru‐Guzik, Xuejie Huang, Claude Delmas, Marnix Wagemaker, Liquan Chen, Yong‐Sheng Hu Hit paper breakdown →	2020	1120
13	Evaluating Attribution for Graph Neural Networks Neural Information Processing Systems ·Benjamín Sánchez-Lengeling, Jennifer N. Wei, Brian K. Lee, Emily Reif, Peter Wang, Wesley Wei Qian, Kevin McCloskey, Lucy J. Colwell, Alexander B. Wiltschko	2020	31
14	Coronene derivatives for transparent organic photovoltaics through inverse materials design Journal of Materials Chemistry C ·Constantine LaPasha, Pascal Friederich, Benjamín Sánchez-Lengeling, Nicholas C. Davy, Guy O. Ngongang Ndjawa, Hannah L. Smith, Xin Lin, Steven A. Lopez, Melissa L. Ball, Antoine Kahn, Alán Aspuru‐Guzik, Yueh‐Lin Loo	2020	14
15	Quantum chemistry reveals thermodynamic principles of redox biochemistry PLoS Computational Biology ·Adrián Jinich, Avi I. Flamholz, Hui-Shin Lin, Sungjin Kim, Benjamín Sánchez-Lengeling, Charles A. R. Cotton, Εlad Noor, Alán Aspuru‐Guzik, Arren Bar‐Even	2018	19
16	Inverse molecular design using machine learning: Generative models for matter engineering Science ·Benjamín Sánchez-Lengeling, Alán Aspuru‐Guzik Hit paper breakdown →	2018	1311
17	A Bayesian Approach to Predict Solubility Parameters Advanced Theory and Simulations ·Benjamín Sánchez-Lengeling, Loı̈c M. Roch, José Darío Perea, Stefan Langner, Christoph J. Brabec, Alán Aspuru‐Guzik	2018	76
18	Reinforced Adversarial Neural Computer for de Novo Molecular Design Journal of Chemical Information and Modeling ·Evgeny Putin, Arip Asadulaev, Yan A. Ivanenkov, Vladimir Aladinskiy, Benjamín Sánchez-Lengeling, Alán Aspuru‐Guzik, Alex Zhavoronkov	2018	258
19	Learning More, with Less ACS Central Science ·Benjamín Sánchez-Lengeling, Alán Aspuru‐Guzik	2017	4
20	Quantum Chemical Approach to Estimating the Thermodynamics of Metabolic Reactions Scientific Reports ·Adrián Jinich, Dmitrij Rappoport, Ian Dunn, Benjamín Sánchez-Lengeling, Roberto Olivares‐Amaya, Εlad Noor, Arren Bar‐Even, Alán Aspuru‐Guzik	2014	30

About Benjamín Sánchez-Lengeling

Benjamín Sánchez-Lengeling is a scholar working on Sensory Systems, Computational Theory and Mathematics, Catalysis, Materials Chemistry and Polymers and Plastics, having authored 28 papers that have together received 5.3k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (12 papers), Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (5 papers), Advanced Chemical Sensor Technologies (3 papers), Organic Electronics and Photovoltaics (3 papers), Conducting polymers and applications (3 papers), Olfactory and Sensory Function Studies (3 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.7k citations), Materials Chemistry (2.7k citations), Electrical and Electronic Engineering (1.7k citations), Automotive Engineering (326 citations) and Catalysis (168 citations). Benjamín Sánchez-Lengeling has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alán Aspuru‐Guzik, Jennifer N. Wei, Timothy Hirzel, Dennis Sheberla, Jorge Aguilera‐Iparraguirre, David Duvenaud, Ryan P. Adams, José Miguel Hernández-Lobato, Rafael Gómez‐Bombarelli and Zhenpeng Yao. Their work appears in journals such as Science, ACS Central Science, Machine Learning Science and Technology, Chemical Senses and Scientific Reports.

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