Mandy Wilson

1.1k total citations
42 papers, 367 citations indexed

About

Mandy Wilson is a scholar working on Modeling and Simulation, Epidemiology and Molecular Biology. According to data from OpenAlex, Mandy Wilson has authored 42 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Modeling and Simulation, 11 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in Mandy Wilson's work include COVID-19 epidemiological studies (12 papers), Data-Driven Disease Surveillance (8 papers) and Influenza Virus Research Studies (4 papers). Mandy Wilson is often cited by papers focused on COVID-19 epidemiological studies (12 papers), Data-Driven Disease Surveillance (8 papers) and Influenza Virus Research Studies (4 papers). Mandy Wilson collaborates with scholars based in United States, United Kingdom and Slovenia. Mandy Wilson's co-authors include Jean Peccoud, Frederick W. Dahlquist, Yizhi Cai, Madhav Marathe, Bryan Lewis, Samarth Swarup, Frances Heywood, Anil Vullikanti, Danny Burns and Achla Marathe and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

In The Last Decade

Mandy Wilson

36 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mandy Wilson United States 11 127 84 72 38 31 42 367
Enrico Palermo Italy 12 101 0.8× 30 0.4× 37 0.5× 21 0.6× 30 1.0× 17 504
Calvin Wai-Loon Ho Singapore 13 46 0.4× 22 0.3× 20 0.3× 67 1.8× 49 1.6× 45 505
Nicholas Generous United States 13 58 0.5× 180 2.1× 285 4.0× 20 0.5× 70 2.3× 26 536
Ashlynn R. Daughton United States 12 77 0.6× 69 0.8× 120 1.7× 12 0.3× 129 4.2× 27 419
А. В. Кузнецова Russia 13 230 1.8× 20 0.2× 218 3.0× 84 2.2× 106 3.4× 73 720
Jomar F. Rabajante Philippines 13 69 0.5× 114 1.4× 11 0.2× 20 0.5× 84 2.7× 50 431
Lars Seemann United States 7 18 0.1× 45 0.5× 54 0.8× 65 1.7× 40 1.3× 10 281
Maximillian P. M. Soltysiak Canada 6 117 0.9× 45 0.5× 20 0.3× 15 0.4× 9 0.3× 9 332
Khulla Naseer Pakistan 10 67 0.5× 56 0.7× 20 0.3× 10 0.3× 100 3.2× 18 546
Boseung Choi South Korea 11 126 1.0× 60 0.7× 21 0.3× 6 0.2× 6 0.2× 43 347

Countries citing papers authored by Mandy Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Mandy Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mandy Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of Mandy Wilson. A scholar is included among the top collaborators of Mandy Wilson 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 Mandy Wilson. Mandy Wilson 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.
2.
Porebski, Przemyslaw, Srinivasan Venkatramanan, Aniruddha Adiga, et al.. (2024). Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections. Epidemics. 47. 100761–100761. 2 indexed citations
3.
Bhattacharya, Parantapa, Dustin Machi, Jiangzhuo Chen, et al.. (2024). Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread. Journal of Parallel and Distributed Computing. 191. 104899–104899. 1 indexed citations
4.
Kurdi, Amanj, et al.. (2022). What patient assessment skills do pharmacist independent prescribers require to prescribe immunomodulators in myeloma?. Journal of Oncology Pharmacy Practice. 32(2). 217–228. 1 indexed citations
5.
Chang, Serina, Mandy Wilson, Bryan Lewis, et al.. (2021). Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling. 2632–2642. 19 indexed citations
6.
Bhattacharya, Parantapa, Saliya Ekanayake, Chris J. Kuhlman, et al.. (2019). The Matrix: An Agent-Based Modeling Framework for Data Intensive Simulations. Adaptive Agents and Multi-Agents Systems. 1635–1643. 4 indexed citations
7.
Adiga, Abhijin, Stephen Eubank, Bryan Lewis, et al.. (2018). Disparities in spread and control of influenza in slums of Delhi: findings from an agent-based modelling study. BMJ Open. 8(1). e017353–e017353. 35 indexed citations
8.
Wilson, Mandy, et al.. (2018). EpiViewer: an epidemiological application for exploring time series data. BMC Bioinformatics. 19(1). 449–449. 5 indexed citations
9.
Brownstein, John S., Achla Marathe, Madhav Marathe, et al.. (2017). Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. JMIR Public Health and Surveillance. 3(4). e83–e83. 32 indexed citations
10.
Coll, Anna, Mandy Wilson, Kristina Gruden, & Jean Peccoud. (2016). GenoCAD Plant Grammar to Design Plant Expression Vectors for Promoter Analysis. Methods in molecular biology. 1482. 219–232. 6 indexed citations
11.
Adames, Neil, Mandy Wilson, Gang Fang, et al.. (2015). GenoLIB: a database of biological parts derived from a library of common plasmid features. Nucleic Acids Research. 43(10). 4823–4832. 17 indexed citations
12.
Trinkoff, Alison M., et al.. (2015). Testing the Electronic Personal Health Record Acceptance Model by Nurses for Managing Their Own Health. Applied Clinical Informatics. 6(2). 224–247. 14 indexed citations
13.
Coll, Anna, Mandy Wilson, Kristina Gruden, & Jean Peccoud. (2015). Rule-Based Design of Plant Expression Vectors Using GenoCAD. PLoS ONE. 10(7). e0132502–e0132502. 12 indexed citations
14.
Wilson, Mandy, et al.. (2011). A Step-by-Step Introduction to Rule-Based Design of Synthetic Genetic Constructs Using GenoCAD. Methods in enzymology on CD-ROM/Methods in enzymology. 498. 173–188. 7 indexed citations
15.
Cai, Yizhi, Mandy Wilson, & Jean Peccoud. (2010). GenoCAD for iGEM: a grammatical approach to the design of standard-compliant constructs. Nucleic Acids Research. 38(8). 2637–2644. 45 indexed citations
16.
Taylor, Marilyn, et al.. (2007). Changing neighbourhoods: Lessons from the JRF Neighbourhood Programme. UWE Research Repository (UWE Bristol). 8 indexed citations
17.
Wilson, Mandy, et al.. (2001). Building practitioner strengths : reflecting on community development practice. OpenGrey (Institut de l'Information Scientifique et Technique).
18.
Wilson, Mandy. (2001). Pharmaceutical Patent Protection: More Generic Favored Legislation May Cause Pioneer Drug Companies to Pull the Plug on Innovation. Kentucky law journal. 90(2). 8.
19.
Wilson, Mandy, et al.. (2000). Will publication of patent applications really affect biotechnology?. Nature Biotechnology. 18(7). 795–796. 1 indexed citations
20.
Wilson, Mandy & Frederick W. Dahlquist. (1985). Membrane protein conformational change dependent on the hydrophobic environment. Biochemistry. 24(8). 1920–1928. 39 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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