Zackary Falls

982 total citations · 1 hit paper
28 papers, 488 citations indexed

About

Zackary Falls is a scholar working on Molecular Biology, Computational Theory and Mathematics and Epidemiology. According to data from OpenAlex, Zackary Falls has authored 28 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 6 papers in Epidemiology. Recurrent topics in Zackary Falls's work include Computational Drug Discovery Methods (10 papers), Machine Learning in Materials Science (4 papers) and Substance Abuse Treatment and Outcomes (4 papers). Zackary Falls is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Machine Learning in Materials Science (4 papers) and Substance Abuse Treatment and Outcomes (4 papers). Zackary Falls collaborates with scholars based in United States and Denmark. Zackary Falls's co-authors include Eva Zurek, Patrick Avery, Ram Samudrala, Andrew Shamp, Nina Tymińska, Tiange Bi, Xiaoyu Wang, Katerina P. Hilleke, Yuanyuan Wang and Jan Pohl and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Zackary Falls

27 papers receiving 475 citations

Hit Papers

Antiviral Approaches against Influenza Virus 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zackary Falls United States 12 152 124 90 87 76 28 488
Scott Sneddon United States 15 276 1.8× 365 2.9× 69 0.8× 7 0.1× 130 1.7× 28 843
Dmitry S. Bezrukov Russia 10 82 0.5× 112 0.9× 98 1.1× 5 0.1× 51 0.7× 35 391
Sajeev Chacko India 19 528 3.5× 70 0.6× 40 0.4× 9 0.1× 68 0.9× 44 899
Sanchita Hati United States 16 159 1.0× 336 2.7× 41 0.5× 7 0.1× 100 1.3× 43 990
William Harbutt Dawson Japan 16 181 1.2× 100 0.8× 45 0.5× 6 0.1× 51 0.7× 48 576
Tarak Karmakar India 14 219 1.4× 113 0.9× 19 0.2× 8 0.1× 26 0.3× 62 479
M. Ramanadham India 15 266 1.8× 395 3.2× 23 0.3× 5 0.1× 43 0.6× 64 884
Jonas Nyman United Kingdom 16 690 4.5× 165 1.3× 164 1.8× 18 0.2× 120 1.6× 24 1.2k
Jurica Novak Croatia 14 156 1.0× 126 1.0× 77 0.9× 27 0.3× 9 0.1× 54 518
Aaron J. Friedman United States 15 89 0.6× 79 0.6× 60 0.7× 12 0.1× 41 0.5× 31 795

Countries citing papers authored by Zackary Falls

Since Specialization
Citations

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

Fields of papers citing papers by Zackary Falls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zackary Falls

This figure shows the co-authorship network connecting the top 25 collaborators of Zackary Falls. A scholar is included among the top collaborators of Zackary Falls 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 Zackary Falls. Zackary Falls 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.
Lu, Chi‐Hua, Zackary Falls, Walter Gibson, et al.. (2024). High-risk use of prescription opioids among patients treated for alcohol problems in New York State. A repeated cross-sectional study, 2005–2018. SHILAP Revista de lepidopterología. 12. 100278–100278. 1 indexed citations
2.
Falls, Zackary, et al.. (2024). The implications of APOBEC3-mediated C-to-U RNA editing for human disease. Communications Biology. 7(1). 529–529. 3 indexed citations
4.
Falls, Zackary, et al.. (2023). Effective holistic characterization of small molecule effects using heterogeneous biological networks. Frontiers in Pharmacology. 14. 1113007–1113007. 5 indexed citations
5.
Lu, Chi‐Hua, Zackary Falls, David M. Jacobs, et al.. (2023). A cohort of patients in New York State with an alcohol use disorder and subsequent treatment information – A merging of two administrative data sources. Journal of Biomedical Informatics. 144. 104443–104443. 2 indexed citations
6.
Bruggemann, Liana, Zackary Falls, Stanley A. Schwartz, et al.. (2023). Multiscale Analysis and Validation of Effective Drug Combinations Targeting Driver KRAS Mutations in Non-Small Cell Lung Cancer. International Journal of Molecular Sciences. 24(2). 997–997. 2 indexed citations
7.
Falls, Zackary, Jonathan Fine, Gaurav Chopra, & Ram Samudrala. (2022). Accurate Prediction of Inhibitor Binding to HIV-1 Protease Using CANDOCK. Frontiers in Chemistry. 9. 775513–775513. 2 indexed citations
8.
Jacobs, David M., Walter Gibson, Terry S. Dunn, et al.. (2022). Trends in Prescribing Opioids, Benzodiazepines, and Both Among Adults with Alcohol Use Disorder in New York State. Journal of General Internal Medicine. 38(1). 138–146. 2 indexed citations
9.
Falls, Zackary, et al.. (2022). Optimal COVID-19 therapeutic candidate discovery using the CANDO platform. Frontiers in Pharmacology. 13. 970494–970494. 4 indexed citations
10.
Mammen, Manoj J., Chengjian Tu, Matthew Morris, et al.. (2022). Proteomic Network Analysis of Bronchoalveolar Lavage Fluid in Ex-Smokers to Discover Implicated Protein Targets and Novel Drug Treatments for Chronic Obstructive Pulmonary Disease. Pharmaceuticals. 15(5). 566–566. 7 indexed citations
11.
Falls, Zackary, et al.. (2021). A fluorescence-based, gain-of-signal, live cell system to evaluate SARS-CoV-2 main protease inhibition. Antiviral Research. 195. 105183–105183. 12 indexed citations
12.
Chatrikhi, Rakesh, Mary J. Pulvino, Georgios Alachouzos, et al.. (2021). A synthetic small molecule stalls pre-mRNA splicing by promoting an early-stage U2AF2-RNA complex. Cell chemical biology. 28(8). 1145–1157.e6. 23 indexed citations
13.
Falls, Zackary, et al.. (2021). Evaluating the performance of drug-repurposing technologies. Drug Discovery Today. 27(1). 49–64. 26 indexed citations
14.
Falls, Zackary, Patrick Avery, Xiaoyu Wang, Katerina P. Hilleke, & Eva Zurek. (2020). The XtalOpt Evolutionary Algorithm for Crystal Structure Prediction. The Journal of Physical Chemistry C. 125(3). 1601–1620. 60 indexed citations
15.
Falls, Zackary, et al.. (2020). Association of C>U RNA Editing with Human Disease Variants. Studies in health technology and informatics. 270. 1205–1206. 1 indexed citations
16.
Falls, Zackary, et al.. (2019). Exploration of interaction scoring criteria in the CANDO platform. BMC Research Notes. 12(1). 318–318. 15 indexed citations
17.
Avery, Patrick, Zackary Falls, & Eva Zurek. (2017). XtalOpt Version r10: An open–source evolutionary algorithm for crystal structure prediction. Computer Physics Communications. 217. 210–211. 7 indexed citations
18.
Falls, Zackary, Eva Zurek, & Jochen Autschbach. (2016). Computational prediction and analysis of the 27Al solid-state NMR spectrum of methylaluminoxane (MAO) at variable temperatures and field strengths. Physical Chemistry Chemical Physics. 18(34). 24106–24118. 18 indexed citations
19.
Falls, Zackary, Nina Tymińska, & Eva Zurek. (2014). The Dynamic Equilibrium Between (AlOMe)n Cages and (AlOMe)n·(AlMe3)m Nanotubes in Methylaluminoxane (MAO): A First-Principles Investigation. Macromolecules. 47(24). 8556–8569. 45 indexed citations
20.
Wach, Amanda, Zackary Falls, David Lonie, et al.. (2013). Determination of the Structures of Molecularly Imprinted Polymers and Xerogels Using an Automated Stochastic Approach. Analytical Chemistry. 85(18). 8577–8584. 7 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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