Mitchell D. Miller

6.0k total citations
98 papers, 2.5k citations indexed

About

Mitchell D. Miller is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Mitchell D. Miller has authored 98 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 35 papers in Materials Chemistry and 16 papers in Organic Chemistry. Recurrent topics in Mitchell D. Miller's work include Enzyme Structure and Function (33 papers), Biochemical and Molecular Research (13 papers) and Bacterial Genetics and Biotechnology (12 papers). Mitchell D. Miller is often cited by papers focused on Enzyme Structure and Function (33 papers), Biochemical and Molecular Research (13 papers) and Bacterial Genetics and Biotechnology (12 papers). Mitchell D. Miller collaborates with scholars based in United States, United Kingdom and Germany. Mitchell D. Miller's co-authors include Kurt L. Krause, Simon K. Kearsley, Robert P. Sheridan, R. J. Wilson, P. H. Lippel, Christof Wöll, S. Chiang, Ashley M. Deacon, Dennis Underwood and G.N. Phillips and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Mitchell D. Miller

91 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitchell D. Miller United States 24 1.3k 562 397 348 288 98 2.5k
Thomas Steinbrecher Germany 31 1.7k 1.4× 591 1.1× 353 0.9× 407 1.2× 220 0.8× 66 2.8k
Elizabeth J. Denning United States 12 2.7k 2.1× 630 1.1× 427 1.1× 215 0.6× 192 0.7× 15 3.7k
Naveen Michaud‐Agrawal United States 4 1.7k 1.4× 438 0.8× 329 0.8× 182 0.5× 170 0.6× 4 2.7k
André H. Juffer Finland 22 1.5k 1.2× 392 0.7× 446 1.1× 184 0.5× 136 0.5× 69 2.5k
Danilo Roccatano Germany 37 2.3k 1.8× 756 1.3× 519 1.3× 495 1.4× 141 0.5× 97 3.7k
Pratul K. Agarwal United States 29 2.3k 1.8× 903 1.6× 495 1.2× 221 0.6× 147 0.5× 100 3.4k
António M. Baptista Portugal 36 2.6k 2.0× 645 1.1× 736 1.9× 290 0.8× 168 0.6× 116 4.0k
Brock A. Luty United States 21 2.1k 1.6× 638 1.1× 720 1.8× 223 0.6× 160 0.6× 32 2.9k
Georgios Archontis Cyprus 26 1.6k 1.2× 445 0.8× 468 1.2× 352 1.0× 102 0.4× 53 2.3k

Countries citing papers authored by Mitchell D. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell D. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell D. Miller. 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 Mitchell D. Miller. The network helps show where Mitchell D. Miller may publish in the future.

Co-authorship network of co-authors of Mitchell D. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell D. Miller. A scholar is included among the top collaborators of Mitchell D. Miller 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 Mitchell D. Miller. Mitchell D. Miller 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.
Miller, Mitchell D., et al.. (2025). Completion of partial structures using Patterson maps with the CrysFormer machine-learning model. Acta Crystallographica Section D Structural Biology. 81(12). 668–677.
2.
Burgie, E. Sethe, et al.. (2024). Crystal structure of the photosensory module from a PAS-less cyanobacterial phytochrome as Pr shows a mix of dark-adapted and photoactivated features. Journal of Biological Chemistry. 300(7). 107369–107369. 3 indexed citations
3.
4.
Armstrong, April W., Peter Foley, Yan Liu, et al.. (2024). Direct and Indirect Effect of Guselkumab on Anxiety, Depression, and Quality of Life in Patients with Moderate-to-Severe Plaque Psoriasis: A Mediation Analysis. Dermatology and Therapy. 14(9). 2577–2589. 5 indexed citations
5.
Pogostin, Brett H., Mitchell D. Miller, Weijun Xu, et al.. (2024). Heterotrimeric collagen helix with high specificity of assembly results in a rapid rate of folding. Nature Chemistry. 16(10). 1698–1704. 7 indexed citations
6.
Dun, Chen, et al.. (2024). CrysFormer: Protein structure determination via Patterson maps, deep learning, and partial structure attention. Structural Dynamics. 11(4). 44701–44701. 5 indexed citations
7.
Schwartz, Alan R., Ofer Jacobowitz, Mitchell D. Miller, et al.. (2023). 0453 3-Year Outcomes of Proximal Hypoglossal Nerve Stimulation in the THN3 Controlled Trial. SLEEP. 46(Supplement_1). A201–A202.
8.
Armstrong, April W., L. Puig, Kim Papp, et al.. (2023). 43927 The Impact of Treatment with Guselkumab on Skin-related Quality of Life in Male and Female Patients with Moderate to Severe Psoriasis: Results from the VOYAGE 1 and 2 Trials. Journal of the American Academy of Dermatology. 89(3). AB235–AB235. 1 indexed citations
9.
Miller, Mitchell D., et al.. (2023). Parental Acceptance of Silver Diamine Fluoride Treatment for Carious Lesions. NSUWorks (Nova Southeastern University). 3(1).
10.
Liu, Zhiwen, Sean A. Newmister, Jacob N. Sanders, et al.. (2023). An NmrA-like enzyme-catalysed redox-mediated Diels–Alder cycloaddition with anti-selectivity. Nature Chemistry. 15(4). 526–534. 21 indexed citations
11.
Wu, Kuan‐Lin, Joshua Moore, Mitchell D. Miller, et al.. (2022). Expanding the eukaryotic genetic code with a biosynthesized 21st amino acid. Protein Science. 31(10). e4443–e4443. 17 indexed citations
12.
Mitchell, Kevin J., et al.. (2022). Real-Time Scene Monitoring for Deaf-Blind People. Sensors. 22(19). 7136–7136. 4 indexed citations
13.
Campbell, Ian, J.L. Olmos, Weijun Xu, et al.. (2020). Prochlorococcus phage ferredoxin: structural characterization and electron transfer to cyanobacterial sulfite reductases. Journal of Biological Chemistry. 295(31). 10610–10623. 10 indexed citations
14.
Jin, Shikai, Mitchell D. Miller, Mingchen Chen, et al.. (2020). Molecular-replacement phasing using predicted protein structures from AWSEM-Suite. IUCrJ. 7(6). 1168–1178. 9 indexed citations
15.
Su, Zhangli, Fengbin Wang, Jin Hee Lee, et al.. (2016). Reader domain specificity and lysine demethylase-4 family function. Nature Communications. 7(1). 13387–13387. 38 indexed citations
16.
Wezel, Gilles P. van, Hsiu‐Ju Chiu, Lukasz Jaroszewski, et al.. (2012). Correction: Structure of an MmyB-Like Regulator from C. aurantiacus, Member of a New Transcription Factor Family Linked to Antibiotic Metabolism in Actinomycetes. PLoS ONE. 7(8). 1 indexed citations
17.
Xu, Qingping, Beat Christen, Hsiu‐Ju Chiu, et al.. (2011). Structure of the pilus assembly protein TadZ from Eubacterium rectale: implications for polar localization. Molecular Microbiology. 83(4). 712–727. 23 indexed citations
18.
Matsumoto, Yasuhiko, Qingping Xu, Shinya Miyazaki, et al.. (2010). Structure of a Virulence Regulatory Factor CvfB Reveals a Novel Winged Helix RNA Binding Module. Structure. 18(4). 537–547. 19 indexed citations
19.
20.
Miller, Mitchell D., et al.. (1993). Theoretical infrared spectra of some model polycyclic aromatic hydrocarbons - Effect of ionization. The Astrophysical Journal. 408(2). 530–530. 111 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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