David Schilter

1.9k total citations
68 papers, 1.5k citations indexed

About

David Schilter is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Inorganic Chemistry. According to data from OpenAlex, David Schilter has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 21 papers in Renewable Energy, Sustainability and the Environment and 21 papers in Inorganic Chemistry. Recurrent topics in David Schilter's work include Metalloenzymes and iron-sulfur proteins (15 papers), Electrocatalysts for Energy Conversion (12 papers) and Metal complexes synthesis and properties (9 papers). David Schilter is often cited by papers focused on Metalloenzymes and iron-sulfur proteins (15 papers), Electrocatalysts for Energy Conversion (12 papers) and Metal complexes synthesis and properties (9 papers). David Schilter collaborates with scholars based in United States, Australia and Germany. David Schilter's co-authors include Thomas B. Rauchfuss, Sharon Hammes‐Schiffer, Mioy T. Huynh, James M. Camara, Jack K. Clegg, John C. McMurtrie, Leonard F. Lindoy, Christopher W. Bielawski, Jonathan P. Moerdyk and Danielle L. Gray and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

David Schilter

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Schilter United States 17 793 489 419 372 268 68 1.5k
Marcello Gennari France 24 947 1.2× 630 1.3× 477 1.1× 352 0.9× 354 1.3× 60 1.8k
Chi‐Fai Leung Hong Kong 19 639 0.8× 257 0.5× 506 1.2× 223 0.6× 273 1.0× 46 1.1k
Alexander R. Parent United States 15 884 1.1× 418 0.9× 519 1.2× 262 0.7× 298 1.1× 19 1.3k
Nobuko Onozawa‐Komatsuzaki Japan 19 837 1.1× 494 1.0× 566 1.4× 287 0.8× 211 0.8× 36 1.5k
Irene P. Georgakaki United States 15 1.7k 2.2× 540 1.1× 517 1.2× 189 0.5× 484 1.8× 18 1.9k
William R. McNamara United States 18 1.6k 2.0× 354 0.7× 640 1.5× 354 1.0× 597 2.2× 26 2.1k
Saad K. Ibrahim United Kingdom 23 1.3k 1.7× 382 0.8× 475 1.1× 217 0.6× 533 2.0× 49 1.8k
Mauro Fianchini Spain 20 330 0.4× 259 0.5× 281 0.7× 502 1.3× 303 1.1× 42 1.1k
Mani Balamurugan South Korea 21 1.2k 1.5× 363 0.7× 487 1.2× 336 0.9× 447 1.7× 38 1.9k
Greg A. N. Felton United States 17 1.9k 2.4× 421 0.9× 542 1.3× 285 0.8× 755 2.8× 30 2.3k

Countries citing papers authored by David Schilter

Since Specialization
Citations

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

Fields of papers citing papers by David Schilter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Schilter

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

All Works

20 of 20 papers shown
1.
Schilter, David, Umberto Terranova, & Rebecca S. Robinson. (2024). Ruthenium diimine ion pairs exhibit diverse intra- and intermolecular dynamics. Cell Reports Physical Science. 5(7). 102071–102071.
2.
Brittain, William J., et al.. (2024). Arene–Perfluoroarene Noncovalent Interactions and Melting Point Correlations in 1-(Pentafluorophenyl)-2-Phenyldiazene and Related Compounds. Crystal Growth & Design. 25(3). 533–539. 1 indexed citations
3.
Schilter, David. (2021). Scalar coupling scales with bonding. Nature Reviews Chemistry. 5(9). 598–598. 2 indexed citations
4.
Schilter, David. (2021). Nickel doesn’t get a slice of the pi. Nature Reviews Chemistry. 5(7). 446–446. 2 indexed citations
5.
Schilter, David. (2021). Doing without diazos. Nature Catalysis. 4(5). 347–347. 2 indexed citations
6.
Schilter, David. (2020). Nickel don’t care about no air. Nature Reviews Chemistry. 4(4). 171–171. 3 indexed citations
7.
Schilter, David. (2019). Thiolate gates superoxo states. Nature Reviews Chemistry. 3(4). 203–203. 1 indexed citations
8.
Pulizzi, Fabio, Olga Bubnova, Silvia Milana, et al.. (2019). Graphene in the making. Nature Nanotechnology. 14(10). 914–918. 38 indexed citations
9.
Schilter, David. (2018). Electrocatalysis: Volcano spews out hot new catalyst. Nature Reviews Chemistry. 2(2). 5 indexed citations
10.
Schilter, David. (2017). Fluorescence: Isolated rings do big things. Nature Reviews Chemistry. 1(12). 7 indexed citations
11.
Schilter, David. (2017). Metalloenzymes: Fast delivery delivers mechanism. Nature Reviews Chemistry. 1(10). 1 indexed citations
12.
Ogata, Hideaki, Tobias Krämer, Hongxin Wang, et al.. (2015). Hydride bridge in [NiFe]-hydrogenase observed by nuclear resonance vibrational spectroscopy. Nature Communications. 6(1). 7890–7890. 92 indexed citations
13.
Tse, Edmund C. M., David Schilter, Danielle L. Gray, Thomas B. Rauchfuss, & Andrew A. Gewirth. (2014). Multicopper Models for the Laccase Active Site: Effect of Nuclearity on Electrocatalytic Oxygen Reduction. Inorganic Chemistry. 53(16). 8505–8516. 86 indexed citations
14.
Carroll, Maria E., Jinzhu Chen, Danielle L. Gray, et al.. (2014). Ferrous Carbonyl Dithiolates as Precursors to FeFe, FeCo, and FeMn Carbonyl Dithiolates. Organometallics. 33(4). 858–867. 34 indexed citations
15.
Schilter, David & Thomas B. Rauchfuss. (2012). Nickel–iron dithiolates related to the deactivated [NiFe]-hydrogenases. Dalton Transactions. 41(43). 13324–13324. 7 indexed citations
16.
Schilter, David, Mark J. Nilges, Mrinmoy Chakrabarti, et al.. (2012). Mixed-Valence Nickel–Iron Dithiolate Models of the [NiFe]-Hydrogenase Active Site. Inorganic Chemistry. 51(4). 2338–2348. 59 indexed citations
17.
Schilter, David, Jack K. Clegg, Margaret M. Harding, & Louis M. Rendina. (2009). Platinum(II) and palladium(II) metallomacrocycles derived from cationic 4,4′-bipyridinium, 3-aminopyrazinium and 2-aminopyrimidinium ligands. Dalton Transactions. 39(1). 239–247. 10 indexed citations
18.
Clegg, Jack K., Leonard F. Lindoy, John C. McMurtrie, & David Schilter. (2006). Extended three-dimensional supramolecular architectures derived from trinuclear (bis-β-diketonato)copper(ii) metallocycles. Dalton Transactions. 3114–3121. 64 indexed citations
19.
Clegg, Jack K., Karsten Gloe, Olga Kataeva, et al.. (2006). New discrete and polymeric supramolecular architectures derived from dinuclear (bis-β-diketonato)copper(ii) metallocycles. Dalton Transactions. 3977–3984. 61 indexed citations
20.
Clegg, Jack K., Leonard F. Lindoy, John C. McMurtrie, & David Schilter. (2005). Dinuclear bis-β-diketonato ligand derivatives of iron(iii) and copper(ii) and use of the latter as components for the assembly of extended metallo-supramolecular structures. Dalton Transactions. 857–864. 81 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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