Maxwell I. Zimmerman

2.4k total citations · 1 hit paper
28 papers, 1.4k citations indexed

About

Maxwell I. Zimmerman is a scholar working on Molecular Biology, Infectious Diseases and Spectroscopy. According to data from OpenAlex, Maxwell I. Zimmerman has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Infectious Diseases and 5 papers in Spectroscopy. Recurrent topics in Maxwell I. Zimmerman's work include Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (4 papers) and Bacterial Genetics and Biotechnology (4 papers). Maxwell I. Zimmerman is often cited by papers focused on Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (4 papers) and Bacterial Genetics and Biotechnology (4 papers). Maxwell I. Zimmerman collaborates with scholars based in United States, France and Ireland. Maxwell I. Zimmerman's co-authors include Gregory R. Bowman, Michael D. Ward, Sukrit Singh, Neha Vithani, Justin R. Porter, Anant K. Paravastu, Xiaodong Pang, Huan‐Xiang Zhou, Jasmine Cubuk and Andrea Soranno and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Maxwell I. Zimmerman

26 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The SARS-CoV-2 nucleocapsid protein is dynamic, disordered, and phase separates with RNA

2021 365 citations Jasmine Cubuk, Jhullian J. Alston et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maxwell I. Zimmerman United States	17	893	386	200	152	122	28	1.4k
Alexei A. Adzhubei Russia	20	1.6k 1.8×	349 0.9×	97 0.5×	239 1.6×	125 1.0×	50	2.4k
Jeremiah S. Joseph United States	26	1.4k 1.6×	719 1.9×	163 0.8×	84 0.6×	48 0.4×	35	2.7k
Atsushi Suenaga Japan	20	749 0.8×	167 0.4×	123 0.6×	169 1.1×	66 0.5×	48	1.3k
Sidhartha Chaudhury United States	22	1.3k 1.4×	200 0.5×	259 1.3×	266 1.8×	27 0.2×	59	1.9k
Matthew P. Jackson United Kingdom	13	808 0.9×	338 0.9×	75 0.4×	124 0.8×	167 1.4×	18	1.6k
Chi‐Fon Chang Taiwan	21	823 0.9×	338 0.9×	51 0.3×	120 0.8×	24 0.2×	84	1.5k
Shaun Rawson United States	21	1.6k 1.8×	850 2.2×	138 0.7×	92 0.6×	22 0.2×	44	2.6k
Roberto Covino Germany	16	1.0k 1.2×	391 1.0×	85 0.4×	209 1.4×	14 0.1×	37	1.6k
Mazdak Radjainia New Zealand	19	1.2k 1.3×	159 0.4×	49 0.2×	125 0.8×	27 0.2×	34	1.7k
Edward T. Eng United States	26	1.2k 1.4×	421 1.1×	95 0.5×	171 1.1×	14 0.1×	54	2.4k

Countries citing papers authored by Maxwell I. Zimmerman

Since Specialization

Citations

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

Fields of papers citing papers by Maxwell I. Zimmerman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maxwell I. Zimmerman. 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 Maxwell I. Zimmerman. The network helps show where Maxwell I. Zimmerman may publish in the future.

Co-authorship network of co-authors of Maxwell I. Zimmerman

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

All Works

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20 of 20 papers shown

Mallimadugula, Upasana L., et al.. (2025). Opening and closing of a cryptic pocket in VP35 toggles it between two different RNA-binding modes. eLife. 14.

Zimmerman, Maxwell I., et al.. (2024). Structural basis for adhesin secretion by the outer-membrane usher in type 1 pili. Proceedings of the National Academy of Sciences. 121(40). e2410594121–e2410594121. 3 indexed citations

Pinkner, Jerome S., Robert Potter, Maxwell I. Zimmerman, et al.. (2024). Conformational ensembles in Klebsiella pneumoniae FimH impact uropathogenesis. Proceedings of the National Academy of Sciences. 121(39). e2409655121–e2409655121. 7 indexed citations

Venanzio, Gisela Di, Jerome S. Pinkner, Karen Dodson, et al.. (2023). Structure–function correlates of fibrinogen binding by Acinetobacter adhesins critical in catheter-associated urinary tract infections. Proceedings of the National Academy of Sciences. 120(4). e2212694120–e2212694120. 14 indexed citations

Malik, Manasi, Michael D. Ward, Justin R. Porter, et al.. (2021). Naturally Occurring Genetic Variants in the Oxytocin Receptor Alter Receptor Signaling Profiles. ACS Pharmacology & Translational Science. 4(5). 1543–1555. 7 indexed citations

Zimmerman, Maxwell I., Justin R. Porter, Michael D. Ward, et al.. (2021). SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome. Nature Chemistry. 13(7). 651–659. 167 indexed citations

Vithani, Neha, Michael D. Ward, Maxwell I. Zimmerman, et al.. (2021). SARS-CoV-2 Nsp16 activation mechanism and a cryptic pocket with pan-coronavirus antiviral potential. Biophysical Journal. 120(14). 2880–2889. 56 indexed citations

Cubuk, Jasmine, Jhullian J. Alston, J. Jeremías Incicco, et al.. (2021). The SARS-CoV-2 nucleocapsid protein is dynamic, disordered, and phase separates with RNA. Nature Communications. 12(1). 1936–1936. 365 indexed citations breakdown →

Behring, Jessica B., Sjoerd van der Post, Arshag D. Mooradian, et al.. (2020). Spatial and temporal alterations in protein structure by EGF regulate cryptic cysteine oxidation. Science Signaling. 13(615). 46 indexed citations

10.

Porter, Justin R., Artur Meller, Maxwell I. Zimmerman, Michael J. Greenberg, & Gregory R. Bowman. (2020). Conformational distributions of isolated myosin motor domains encode their mechanochemical properties. eLife. 9. 21 indexed citations

11.

Wang, Wenjie, Woo-Jin Shin, Bojie Zhang, et al.. (2020). The Cap-Snatching SFTSV Endonuclease Domain Is an Antiviral Target. Cell Reports. 30(1). 153–163.e5. 28 indexed citations

12.

Riehl, James R., et al.. (2020). Computing and optimizing over all fixed-points of discrete systems on large networks. Journal of The Royal Society Interface. 17(170). 20200126–20200126.

13.

Porter, Justin R., Maxwell I. Zimmerman, & Gregory R. Bowman. (2019). Enspara : Modeling molecular ensembles with scalable data structures and parallel computing. The Journal of Chemical Physics. 150(4). 44108–44108. 29 indexed citations

14.

Porter, Justin R., et al.. (2019). Cooperative Changes in Solvent Exposure Identify Cryptic Pockets, Switches, and Allosteric Coupling. Biophysical Journal. 116(5). 818–830. 41 indexed citations

15.

Zimmerman, Maxwell I., Kathryn M. Hart, Thomas E. Frederick, et al.. (2018). Prediction of New Stabilizing Mutations Based on Mechanistic Insights from Markov State Models. Biophysical Journal. 114(3). 412a–412a. 2 indexed citations

16.

Hart, Kathryn M., et al.. (2017). Designing small molecules to target cryptic pockets yields both positive and negative allosteric modulators. PLoS ONE. 12(6). e0178678–e0178678. 51 indexed citations

17.

Zimmerman, Maxwell I. & Gregory R. Bowman. (2016). How to Run FAST Simulations. Methods in enzymology on CD-ROM/Methods in enzymology. 578. 213–225. 8 indexed citations

18.

Zimmerman, Maxwell I., et al.. (2015). Antiparallel β-Sheet Structure within the C-Terminal Region of 42-Residue Alzheimer's Amyloid-β Peptides When They Form 150-kDa Oligomers. Journal of Molecular Biology. 427(13). 2319–2328. 61 indexed citations

19.

Zimmerman, Maxwell I. & Gregory R. Bowman. (2015). FAST Conformational Searches by Balancing Exploration/Exploitation Trade-Offs. Journal of Chemical Theory and Computation. 11(12). 5747–5757. 123 indexed citations

20.

Pang, Xiaodong, et al.. (2013). Solid-State NMR Evidence for β-Hairpin Structure within MAX8 Designer Peptide Nanofibers. Biophysical Journal. 105(1). 222–230. 23 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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