David W. Kastner

1.1k total citations
22 papers, 411 citations indexed

About

David W. Kastner is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, David W. Kastner has authored 22 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Materials Chemistry and 5 papers in Organic Chemistry. Recurrent topics in David W. Kastner's work include Enzyme Structure and Function (5 papers), Metal-Catalyzed Oxygenation Mechanisms (4 papers) and Amino Acid Enzymes and Metabolism (2 papers). David W. Kastner is often cited by papers focused on Enzyme Structure and Function (5 papers), Metal-Catalyzed Oxygenation Mechanisms (4 papers) and Amino Acid Enzymes and Metabolism (2 papers). David W. Kastner collaborates with scholars based in United States, Pakistan and Singapore. David W. Kastner's co-authors include Heather J. Kulik, Aditya Nandy, Chenru Duan, Gianmarco Terrones, Naeem Mahmood Ashraf, Nadia Zeeshan, Ahmed M. Sayed, Yu‐Keung Mok, Kunchithapadam Swaminathan and Steven L. Castle and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

David W. Kastner

20 papers receiving 405 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 W. Kastner United States 12 191 129 119 56 47 22 411
Adi Haber Israel 11 122 0.6× 198 1.5× 105 0.9× 47 0.8× 59 1.3× 33 404
Thomas J. Paul United States 13 214 1.1× 116 0.9× 44 0.4× 53 0.9× 57 1.2× 19 418
Russell R. Poyner United States 13 379 2.0× 190 1.5× 49 0.4× 26 0.5× 47 1.0× 18 502
Ngoc-Han Tran United States 8 198 1.0× 42 0.3× 69 0.6× 74 1.3× 31 0.7× 8 373
Brahm J. Yachnin Canada 10 353 1.8× 73 0.6× 39 0.3× 42 0.8× 19 0.4× 14 433
Bomina Yu Canada 8 364 1.9× 59 0.5× 100 0.8× 39 0.7× 28 0.6× 10 433
Qizhen Zheng China 12 230 1.2× 128 1.0× 123 1.0× 56 1.0× 73 1.6× 21 485
Mikko Laitaoja Finland 8 209 1.1× 60 0.5× 18 0.2× 33 0.6× 40 0.9× 16 346
Bert‐Jan Baas Netherlands 14 481 2.5× 59 0.5× 77 0.6× 330 5.9× 28 0.6× 24 745

Countries citing papers authored by David W. Kastner

Since Specialization
Citations

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

Fields of papers citing papers by David W. Kastner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David W. Kastner

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Kastner. A scholar is included among the top collaborators of David W. Kastner 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 W. Kastner. David W. Kastner 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
2.
Kastner, David W., et al.. (2025). CH−π interactions confer orientational flexibility in protein–carbohydrate binding sites. PubMed. 301(8). 110379–110379. 1 indexed citations
3.
Kevlishvili, Ilia, et al.. (2025). High-Throughput Discovery of Ferrocene Mechanophores with Enhanced Reactivity and Network Toughening. ACS Central Science. 11(10). 1839–1851. 2 indexed citations
4.
Kastner, David W., et al.. (2025). Tracing the stepwise Darwinian evolution of a plant halogenase. Science Advances. 11(33). eadv6898–eadv6898.
5.
Torrens-Spence, Michael P., Jason O. Matos, Tianjie Li, et al.. (2024). Mechanistic basis for the emergence of EPS1 as a catalyst in salicylic acid biosynthesis of Brassicaceae. Nature Communications. 15(1). 10356–10356. 7 indexed citations
6.
Flores, Antonio Del Rio, Rui Zhai, David W. Kastner, et al.. (2024). Enzymatic synthesis of azide by a promiscuous N-nitrosylase. Nature Chemistry. 16(12). 2066–2075. 8 indexed citations
7.
Kastner, David W., et al.. (2024). The energetic landscape of CH–π interactions in protein–carbohydrate binding. Chemical Science. 16(4). 1746–1761. 10 indexed citations
8.
Nandy, Aditya, et al.. (2023). Protein3D: Enabling analysis and extraction of metal‐containing sites from the Protein Data Bank with molSimplify. Journal of Computational Chemistry. 45(6). 352–361. 2 indexed citations
9.
Mitchell, Andrew J., et al.. (2023). Emergence of a proton exchange-based isomerization and lactonization mechanism in the plant coumarin synthase COSY. Nature Communications. 14(1). 597–597. 11 indexed citations
10.
Nandy, Aditya, et al.. (2022). Using Computational Chemistry To Reveal Nature’s Blueprints for Single-Site Catalysis of C–H Activation. ACS Catalysis. 12(15). 9281–9306. 31 indexed citations
11.
Duan, Chenru, Aditya Nandy, Gianmarco Terrones, David W. Kastner, & Heather J. Kulik. (2022). Active Learning Exploration of Transition-Metal Complexes to Discover Method-Insensitive and Synthetically Accessible Chromophores. JACS Au. 3(2). 391–401. 16 indexed citations
12.
Flores, Antonio Del Rio, David W. Kastner, Yongle Du, et al.. (2022). Probing the Mechanism of Isonitrile Formation by a Non-Heme Iron(II)-Dependent Oxidase/Decarboxylase. Journal of the American Chemical Society. 144(13). 5893–5901. 21 indexed citations
13.
Nandy, Aditya, et al.. (2022). MOFSimplify, machine learning models with extracted stability data of three thousand metal–organic frameworks. Scientific Data. 9(1). 74–74. 92 indexed citations
14.
Steeves, Adam H., et al.. (2022). Influence of the Greater Protein Environment on the Electrostatic Potential in Metalloenzyme Active Sites: The Case of Formate Dehydrogenase. The Journal of Physical Chemistry B. 126(22). 4069–4079. 10 indexed citations
15.
Olsen, Rachelle R., Abbie S. Ireland, David W. Kastner, et al.. (2021). ASCL1 represses a SOX9 + neural crest stem-like state in small cell lung cancer. Genes & Development. 35(11-12). 847–869. 38 indexed citations
16.
Morris, Daniel L., David W. Kastner, Marie‐Paule Strub, et al.. (2019). Humanin induces conformational changes in the apoptosis regulator BAX and sequesters it into fibers, preventing mitochondrial outer-membrane permeabilization. Journal of Biological Chemistry. 294(50). 19055–19065. 29 indexed citations
17.
Lee, Michael A., et al.. (2019). Impact of Dehydroamino Acids on the Structure and Stability of Incipient 3 10 -Helical Peptides. The Journal of Organic Chemistry. 85(3). 1601–1613. 15 indexed citations
18.
Ashraf, Naeem Mahmood, David W. Kastner, Ahmed M. Sayed, et al.. (2018). Engineering of serine protease for improved thermostability and catalytic activity using rational design. International Journal of Biological Macromolecules. 126. 229–237. 59 indexed citations
19.
Ashraf, Naeem Mahmood, et al.. (2017). Potential involvement of mi-RNA 574-3p in progression of prostate cancer: A bioinformatic study. Molecular and Cellular Probes. 36. 21–28. 13 indexed citations
20.
Kastner, David W., et al.. (2017). Bulky Dehydroamino Acids Enhance Proteolytic Stability and Folding in β-Hairpin Peptides. Organic Letters. 19(19). 5190–5193. 15 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026