Michael D. Ward

4.1k total citations · 1 hit paper
33 papers, 1.5k citations indexed

About

Michael D. Ward is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Michael D. Ward has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Computational Theory and Mathematics. Recurrent topics in Michael D. Ward's work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (3 papers) and Cellular Mechanics and Interactions (3 papers). Michael D. Ward is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (3 papers) and Cellular Mechanics and Interactions (3 papers). Michael D. Ward collaborates with scholars based in United States, Spain and Ireland. Michael D. Ward's co-authors include Gregory R. Bowman, Maxwell I. Zimmerman, Sukrit Singh, Neha Vithani, W N Hait, T. G. Parmer, Jonathan Borowsky, Artur Meller, Jasmine Cubuk and Alex S. Holehouse and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Michael D. Ward

32 papers receiving 1.5k citations

Hit Papers

The SARS-CoV-2 nucleocapsid protein is dynamic, disordere... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Ward United States 17 991 347 150 148 134 33 1.5k
Soumya S. Ray United States 27 1.4k 1.4× 332 1.0× 167 1.1× 166 1.1× 182 1.4× 41 2.2k
P. Erbel Switzerland 19 760 0.8× 193 0.6× 115 0.8× 80 0.5× 160 1.2× 29 1.5k
S. Betzi France 22 951 1.0× 238 0.7× 342 2.3× 80 0.5× 110 0.8× 38 1.5k
Carlos H. M. Rodrigues Australia 18 1.5k 1.5× 404 1.2× 289 1.9× 134 0.9× 114 0.9× 39 2.1k
Panagiotis I. Koukos Netherlands 13 907 0.9× 151 0.4× 186 1.2× 76 0.5× 109 0.8× 20 1.3k
Peter V. Pallai United States 19 836 0.8× 297 0.9× 189 1.3× 146 1.0× 231 1.7× 30 1.8k
Özlem Demir United States 22 1.1k 1.1× 195 0.6× 250 1.7× 213 1.4× 125 0.9× 74 1.8k
Yehuda Goldgur United States 19 1.4k 1.4× 692 2.0× 53 0.4× 107 0.7× 121 0.9× 50 2.0k
Xavier Hanoulle France 23 929 0.9× 194 0.6× 56 0.4× 381 2.6× 129 1.0× 59 1.5k
Jinzhi Tan China 15 684 0.7× 376 1.1× 179 1.2× 61 0.4× 88 0.7× 25 1.1k

Countries citing papers authored by Michael D. Ward

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Ward

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Ward. A scholar is included among the top collaborators of Michael D. Ward 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 Michael D. Ward. Michael D. Ward 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.
Rico, Laura G., et al.. (2025). PD-L1 expression in multiple myeloma myeloid derived suppressor cells. Methods in cell biology. 195. 115–141. 1 indexed citations
2.
Rico, Laura G., Jolene A. Bradford, Michael D. Ward, et al.. (2023). Fast-screening flow cytometry method for detecting nanoplastics in human peripheral blood. MethodsX. 10. 102057–102057. 29 indexed citations
3.
Meller, Artur, Michael D. Ward, Jonathan Borowsky, et al.. (2023). Predicting locations of cryptic pockets from single protein structures using the PocketMiner graph neural network. Nature Communications. 14(1). 1177–1177. 86 indexed citations
4.
Downs, Isaac, et al.. (2023). Modification of N-hydroxycytidine yields a novel lead compound exhibiting activity against the Venezuelan equine encephalitis virus. Bioorganic & Medicinal Chemistry Letters. 94. 129432–129432. 2 indexed citations
5.
Meller, Artur, Michael D. Ward, Jonathan Borowsky, et al.. (2023). Predicting the locations of cryptic pockets from single protein structures using the PocketMiner graph neural network. Biophysical Journal. 122(3). 445a–445a. 13 indexed citations
6.
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
7.
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
8.
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
9.
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 →
10.
Rico, Laura G., et al.. (2021). Flow-cytometry-based protocols for human blood/marrow immunophenotyping with minimal sample perturbation. STAR Protocols. 2(4). 100883–100883. 18 indexed citations
11.
Mate, Suzanne, Karla Garcia, Michael D. Ward, et al.. (2016). Cynomolgus macaque (Macaca fascicularis) immunoglobulin heavy chain locus description. Immunogenetics. 68(6-7). 417–428. 9 indexed citations
12.
Shen, Jianjun, Erika L. Abel, Penny K. Riggs, et al.. (2012). Proteomic and pathway analyses reveal a network of inflammatory genes associated with differences in skin tumor promotion susceptibility in DBA/2 and C57BL/6 mice. Carcinogenesis. 33(11). 2208–2219. 14 indexed citations
13.
Guo, Xin, et al.. (2010). Interdependent Phosphorylation within the Kinase Domain T-loop Regulates CHK2 Activity*. Journal of Biological Chemistry. 285(43). 33348–33357. 19 indexed citations
14.
Ward, Michael D., et al.. (2001). Parathyroid-produced angiopoietin-2 modulates angiogenic response. Surgery. 130(6). 1019–1027. 8 indexed citations
15.
Rasko, John E.J., Elena Klenova, Javier León, et al.. (2001). Cell growth inhibition by the multifunctional multivalent zinc-finger factor CTCF.. PubMed. 61(16). 6002–7. 95 indexed citations
16.
Ward, Michael D., et al.. (2000). HER2 regulatory control of angiopoietin-2 in breast cancer. Surgery. 128(2). 153–158. 14 indexed citations
17.
Ward, Michael D., et al.. (2000). Parathyroid-induced angiogenesis is VEGF-dependent. Surgery. 128(3). 458–464. 43 indexed citations
18.
Parmer, T. G., et al.. (1998). Activity and regulation by growth factors of calmodulin-dependent protein kinase III (elongation factor 2-kinase) in human breast cancer. British Journal of Cancer. 79(1). 59–64. 74 indexed citations
19.
Ward, Michael D. & Daniel A. Hammer. (1994). Focal contact assembly through cytoskeletal polymerization: steady state analysis. Journal of Mathematical Biology. 32(7). 677–704. 21 indexed citations
20.
Ward, Michael D. & Daniel A. Hammer. (1992). Morphology of cell-substratum adhesion. Cell Biophysics. 20(2-3). 177–222. 14 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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