Mathew Hahn

8.1k total citations · 1 hit paper
7 papers, 4.4k citations indexed

About

Mathew Hahn is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Mathew Hahn has authored 7 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 1 paper in Organic Chemistry. Recurrent topics in Mathew Hahn's work include Computational Drug Discovery Methods (4 papers), Chemical Synthesis and Analysis (1 paper) and Lipid Membrane Structure and Behavior (1 paper). Mathew Hahn is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Chemical Synthesis and Analysis (1 paper) and Lipid Membrane Structure and Behavior (1 paper). Mathew Hahn collaborates with scholars based in United States. Mathew Hahn's co-authors include David Rogers, Robert D. Brown, D. W. O. Rogers, Vincent R. Vermeul, John M. Zachara, Mark Rockhold, Yoram Rubin and Yi Liu and has published in prestigious journals such as Journal of Medicinal Chemistry, Hydrology and earth system sciences and Journal of Chemical Information and Modeling.

In The Last Decade

Mathew Hahn

7 papers receiving 4.2k 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.

Extended-Connectivity Fingerprints

2010 3.8k citations David Rogers, Mathew Hahn Journal of Chemical Information and Modeling profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathew Hahn United States	6	3.3k	2.4k	1.7k	445	378	7	4.4k
Igor I. Baskin Russia	30	3.0k 0.9×	1.9k 0.8×	1.5k 0.9×	362 0.8×	563 1.5×	145	4.7k
Hongming Chen Sweden	29	3.6k 1.1×	2.7k 1.2×	2.1k 1.2×	348 0.8×	257 0.7×	69	5.1k
John B. O. Mitchell United Kingdom	39	2.4k 0.7×	3.1k 1.3×	1.8k 1.0×	350 0.8×	785 2.1×	124	5.8k
Gregory A. Landrum Switzerland	32	1.9k 0.6×	1.7k 0.7×	1.6k 0.9×	249 0.6×	348 0.9×	69	4.6k
W. Patrick Walters United States	27	3.5k 1.1×	3.2k 1.4×	1.2k 0.7×	549 1.2×	489 1.3×	54	5.6k
Valerie J. Gillet United Kingdom	31	2.7k 0.8×	2.0k 0.8×	581 0.3×	396 0.9×	659 1.7×	101	3.7k
Dragos Horvath France	31	2.0k 0.6×	1.6k 0.7×	784 0.5×	377 0.8×	365 1.0×	139	3.3k
George Papadatos United Kingdom	19	3.0k 0.9×	3.0k 1.3×	793 0.5×	624 1.4×	265 0.7×	27	4.5k
David Weininger United States	9	4.2k 1.3×	3.1k 1.3×	2.6k 1.5×	461 1.0×	812 2.1×	11	6.4k
Ansgar Schuffenhauer Switzerland	29	2.9k 0.9×	2.7k 1.2×	855 0.5×	1.0k 2.3×	460 1.2×	56	4.8k

Countries citing papers authored by Mathew Hahn

Since Specialization

Citations

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

Fields of papers citing papers by Mathew Hahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathew Hahn

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

All Works

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7 of 7 papers shown

1.

Hahn, Mathew, Yi Liu, Mark Rockhold, et al.. (2010). Bayesian approach for three-dimensional aquifer characterization at the Hanford 300 Area. Hydrology and earth system sciences. 14(10). 1989–2001. 33 indexed citations

2.

Rogers, David & Mathew Hahn. (2010). Extended-Connectivity Fingerprints. Journal of Chemical Information and Modeling. 50(5). 742–754. 3829 indexed citations breakdown →

3.

Rogers, David, Robert D. Brown, & Mathew Hahn. (2005). Using Extended-Connectivity Fingerprints with Laplacian-Modified Bayesian Analysis in High-Throughput Screening Follow-Up. SLAS DISCOVERY. 10(7). 682–686. 232 indexed citations

4.

Hahn, Mathew & David Rogers. (1998). . Perspectives in Drug Discovery and Design. 12/14. 117–133. 4 indexed citations

5.

Hahn, Mathew. (1997). Three-Dimensional Shape-Based Searching of Conformationally Flexible Compounds. Journal of Chemical Information and Computer Sciences. 37(1). 80–86. 85 indexed citations

6.

Hahn, Mathew. (1995). Receptor Surface Models. 1. Definition and Construction. Journal of Medicinal Chemistry. 38(12). 2080–2090. 111 indexed citations

7.

Hahn, Mathew & D. W. O. Rogers. (1995). Receptor Surface Models. 2. Application to Quantitative Structure-Activity Relationships Studies. Journal of Medicinal Chemistry. 38(12). 2091–2102. 57 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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