Travis V. Harris

1.9k total citations · 1 hit paper
11 papers, 1.5k citations indexed

About

Travis V. Harris is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry and Inorganic Chemistry. According to data from OpenAlex, Travis V. Harris has authored 11 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Renewable Energy, Sustainability and the Environment, 4 papers in Materials Chemistry and 3 papers in Inorganic Chemistry. Recurrent topics in Travis V. Harris's work include Metalloenzymes and iron-sulfur proteins (5 papers), Lanthanide and Transition Metal Complexes (2 papers) and Electrocatalysts for Energy Conversion (2 papers). Travis V. Harris is often cited by papers focused on Metalloenzymes and iron-sulfur proteins (5 papers), Lanthanide and Transition Metal Complexes (2 papers) and Electrocatalysts for Energy Conversion (2 papers). Travis V. Harris collaborates with scholars based in United States, Japan and Australia. Travis V. Harris's co-authors include Róbert K. Szilágyi, Keiji Morokuma, Miho Hatanaka, Lung Wa Chung, Zhuofeng Ke, Alister J. Page, W. M. C. Sameera, Г. П. Петрова, Fengyi Liu and Romain Ramozzi and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

Travis V. Harris

11 papers receiving 1.5k citations

Hit Papers

The ONIOM Method and Its Applications 2015 2026 2018 2022 2015 250 500 750 1000

Peers

Travis V. Harris
Xiangqian Hu United States
Travis V. Harris
Citations per year, relative to Travis V. Harris Travis V. Harris (= 1×) peers Xiangqian Hu

Countries citing papers authored by Travis V. Harris

Since Specialization
Citations

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

Fields of papers citing papers by Travis V. Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis V. Harris. 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 Travis V. Harris. The network helps show where Travis V. Harris may publish in the future.

Co-authorship network of co-authors of Travis V. Harris

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

All Works

11 of 11 papers shown
1.
Harris, Travis V. & Róbert K. Szilágyi. (2016). Protein environmental effects on iron‐sulfur clusters: A set of rules for constructing computational models for inner and outer coordination spheres. Journal of Computational Chemistry. 37(18). 1681–1696. 27 indexed citations
2.
Harris, Travis V., et al.. (2016). Mercury(II) binds to both of chymotrypsin's histidines, causing inhibition followed by irreversible denaturation/aggregation. Protein Science. 26(2). 292–305. 26 indexed citations
3.
Honda, Kazuya, Travis V. Harris, Miho Hatanaka, Keiji Morokuma, & Köichi Mikami. (2016). Computational SN2‐Type Mechanism for the Difluoromethylation of Lithium Enolate with Fluoroform through Bimetallic C−F Bond Dual Activation. Chemistry - A European Journal. 22(26). 8796–8800. 14 indexed citations
4.
Chung, Lung Wa, W. M. C. Sameera, Romain Ramozzi, et al.. (2015). The ONIOM Method and Its Applications. Chemical Reviews. 115(12). 5678–5796. 1016 indexed citations breakdown →
5.
Harris, Travis V. & Róbert K. Szilágyi. (2014). Iron–sulfur bond covalency from electronic structure calculations for classical iron–sulfur clusters. Journal of Computational Chemistry. 35(7). 540–552. 28 indexed citations
6.
Harris, Travis V., Yuki Kurashige, Takeshi Yanai, & Keiji Morokuma. (2014). Ab initio density matrix renormalization group study of magnetic coupling in dinuclear iron and chromium complexes. The Journal of Chemical Physics. 140(5). 54303–54303. 32 indexed citations
7.
Harris, Travis V. & Keiji Morokuma. (2013). QM/MM Structural and Spectroscopic Analysis of the Di-iron(II) and Di-iron(III) Ferroxidase Site in M Ferritin. Inorganic Chemistry. 52(15). 8551–8563. 8 indexed citations
8.
Harris, Travis V. & Róbert K. Szilágyi. (2011). Nitrogenase Structure and Function Relationships by Density Functional Theory. Methods in molecular biology. 766. 267–291. 5 indexed citations
9.
Harris, Travis V. & Róbert K. Szilágyi. (2011). Comparative Assessment of the Composition and Charge State of Nitrogenase FeMo-Cofactor. Inorganic Chemistry. 50(11). 4811–4824. 64 indexed citations
10.
Harris, Travis V., Róbert K. Szilágyi, & Karen L. McFarlane Holman. (2009). Electronic structural investigations of ruthenium compounds and anticancer prodrugs. JBIC Journal of Biological Inorganic Chemistry. 14(6). 891–898. 20 indexed citations
11.
Pandey, Arti, Travis V. Harris, Logan J. Giles, John W. Peters, & Róbert K. Szilágyi. (2008). Dithiomethylether as a Ligand in the Hydrogenase H-Cluster. Journal of the American Chemical Society. 130(13). 4533–4540. 279 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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