Daniel W. Trahan
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Electrostatics and Colloid Interactions 3
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- Process Optimization and Integration 5
- Co-authors
- Nikolaos V. Sahinidis (4 shared papers)Nick D. Austin (4 shared papers)Kenton H. Whitmire (3 shared papers)J.H. Thurston (3 shared papers)Patrick S. Doyle (4 shared papers)Jing Tang (1 shared paper)Harold G. Craighead (1 shared paper)Stephen L. Levy (1 shared paper)
- Journals
- Macromolecules (3 papers)AIChE Journal (2 papers)Inorganic Chemistry (2 papers)Chemical Engineering Journal (2 papers)Industrial & Engineering Chemistry Research (2 papers)
- Partner nations
- United States
In The Last Decade
Daniel W. Trahan
16 papers receiving 597 citations
Peers
Comparison fields: 5 of 81
- Catalysis 63
- Computational Theory and Mathematics 121
- Inorganic Chemistry 95
- Physical and Theoretical Chemistry 60
- Environmental Chemistry 67
Countries citing papers authored by Daniel W. Trahan
This map shows the geographic impact of Daniel W. Trahan'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 Daniel W. Trahan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Trahan more than expected).
Fields of papers citing papers by Daniel W. Trahan
This network shows the impact of papers produced by Daniel W. Trahan. 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 Daniel W. Trahan. The network helps show where Daniel W. Trahan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Trahan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 180 | |
| 2 | 2010 | 110 | |
| 3 | 2016 | 62 | |
| 4 | 2004 | 57 | |
| 5 | 2003 | 52 | |
| 6 | 2017 | 45 | |
| 7 | 2004 | 42 | |
| 8 | 2015 | 21 | |
| 9 | 2009 | 19 | |
| 10 | 2010 | 11 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2010 | 3 | |
| 14 | 2019 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 0 |
About Daniel W. Trahan
Daniel W. Trahan is a scholar working on Physical and Theoretical Chemistry, Control and Systems Engineering, Biophysics, Catalysis and Organic Chemistry, having authored 17 papers that have together received 617 indexed citations. Recurring topics across this work include Process Optimization and Integration (5 papers), Crystallization and Solubility Studies (3 papers), Nanopore and Nanochannel Transport Studies (3 papers), Electrostatics and Colloid Interactions (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Analytical Chemistry and Chromatography (2 papers), Computational Drug Discovery Methods (2 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Catalysis (63 citations), Computational Theory and Mathematics (121 citations), Inorganic Chemistry (95 citations), Physical and Theoretical Chemistry (60 citations) and Environmental Chemistry (67 citations). Daniel W. Trahan has collaborated with scholars based in United States. Frequent co-authors include Nikolaos V. Sahinidis, Nick D. Austin, Kenton H. Whitmire, J.H. Thurston, Patrick S. Doyle, Jing Tang, Harold G. Craighead, Stephen L. Levy, Teyeb Ould-Ely and Teyeb Ould Ely. Their work appears in journals such as Macromolecules, AIChE Journal, Inorganic Chemistry, Chemical Engineering Journal and Industrial & Engineering Chemistry 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.