Neil D. Evans

2.3k total citations
97 papers, 1.5k citations indexed

About

Neil D. Evans is a scholar working on Molecular Biology, Computational Theory and Mathematics and Modeling and Simulation. According to data from OpenAlex, Neil D. Evans has authored 97 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 12 papers in Modeling and Simulation. Recurrent topics in Neil D. Evans's work include Cancer therapeutics and mechanisms (8 papers), COVID-19 epidemiological studies (8 papers) and Gene Regulatory Network Analysis (8 papers). Neil D. Evans is often cited by papers focused on Cancer therapeutics and mechanisms (8 papers), COVID-19 epidemiological studies (8 papers) and Gene Regulatory Network Analysis (8 papers). Neil D. Evans collaborates with scholars based in United Kingdom, Sweden and United States. Neil D. Evans's co-authors include Michael J. Chappell, K.R. Godfrey, A.R. Bradwell, John Hattersley, Colin A. Hutchison, Paul Cockwell, Mark Cook, James Yates, Michael J. Chapman and Graham P. Mead and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Neil D. Evans

92 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neil D. Evans United Kingdom 21 647 281 170 130 123 97 1.5k
Michael J. Chappell United Kingdom 21 567 0.9× 51 0.2× 111 0.7× 143 1.1× 274 2.2× 101 1.6k
Maria Pia Saccomani Italy 19 794 1.2× 38 0.1× 40 0.2× 143 1.1× 305 2.5× 49 2.0k
Francesco Pappalardo Italy 30 1.1k 1.7× 31 0.1× 251 1.5× 342 2.6× 63 0.5× 128 2.6k
Xiaobo Zhou United States 34 1.5k 2.3× 33 0.1× 415 2.4× 60 0.5× 94 0.8× 158 3.4k
Heinz Schmidli Switzerland 31 274 0.4× 102 0.4× 139 0.8× 9 0.1× 30 0.2× 78 2.6k
Tae‐Hyoung Kim South Korea 32 1.7k 2.6× 59 0.2× 386 2.3× 37 0.3× 45 0.4× 172 3.8k
Xiaoxiao Lu China 22 648 1.0× 24 0.1× 183 1.1× 64 0.5× 54 0.4× 98 1.6k
Pei Liu China 24 559 0.9× 43 0.2× 259 1.5× 64 0.5× 19 0.2× 149 3.1k
Pranay Sinha United States 15 178 0.3× 46 0.2× 230 1.4× 42 0.3× 17 0.1× 76 1.3k
Zhongxin Zhang China 18 220 0.3× 31 0.1× 49 0.3× 30 0.2× 28 0.2× 45 2.6k

Countries citing papers authored by Neil D. Evans

Since Specialization
Citations

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

Fields of papers citing papers by Neil D. Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil D. Evans

This figure shows the co-authorship network connecting the top 25 collaborators of Neil D. Evans. A scholar is included among the top collaborators of Neil D. Evans 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 Neil D. Evans. Neil D. Evans 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.
Evans, Neil D., et al.. (2024). Quantification of finger grasps during activities of daily life using convolutional neural networks: A pilot study. Healthcare Technology Letters. 11(5). 259–270.
2.
Evans, Neil D., et al.. (2023). Reliability, accuracy, and minimal detectable difference of a mixed concept marker set for finger kinematic evaluation. Heliyon. 9(11). e21608–e21608. 1 indexed citations
3.
Evans, Neil D., et al.. (2023). Identification of small cell lung cancer patients who are at risk of developing common serious adverse event groups with machine learning. SHILAP Revista de lepidopterología. 3. 1267623–1267623. 1 indexed citations
4.
Tomkinson, Helen, et al.. (2021). Imputing Biomarker Status from RWE Datasets—A Comparative Study. Journal of Personalized Medicine. 11(12). 1356–1356. 1 indexed citations
5.
Menzies, Georgina, Tom J. Phillips, Michael Sasner, et al.. (2021). PIP2 depletion and altered endocytosis caused by expression of Alzheimer's disease‐protective variant PLCγ2 R522. The EMBO Journal. 40(17). e105603–e105603. 23 indexed citations
6.
Lloyd, Adrian J., Susan E. Slade, Dean Rea, et al.. (2020). Substrate and Stereochemical Control of Peptidoglycan Cross-Linking by Transpeptidation by Escherichia coli PBP1B. Journal of the American Chemical Society. 142(11). 5034–5048. 18 indexed citations
7.
Andersson, Robert, J.O. Almquist, Mats Jirstrand, et al.. (2017). Modeling of free fatty acid dynamics: insulin and nicotinic acid resistance under acute and chronic treatments. Journal of Pharmacokinetics and Pharmacodynamics. 44(3). 203–222. 8 indexed citations
8.
Chappell, Michael J., et al.. (2017). Input Estimation for Extended-Release Formulations Exemplified with Exenatide. Frontiers in Bioengineering and Biotechnology. 5. 24–24. 3 indexed citations
9.
Janzén, David, Mats Jirstrand, Joanna Parkinson, et al.. (2016). Parameter Identifiability of Fundamental Pharmacodynamic Models. Frontiers in Physiology. 7. 590–590. 37 indexed citations
10.
Janzén, David, Mats Jirstrand, Michael J. Chappell, & Neil D. Evans. (2016). Three novel approaches to structural identifiability analysis in mixed-effects models. Computer Methods and Programs in Biomedicine. 171. 141–152. 17 indexed citations
11.
Evans, Neil D., et al.. (2016). PKPD modelling of PR and QRS intervals in conscious dogs using standard safety pharmacology data. Journal of Pharmacological and Toxicological Methods. 79. 34–44. 6 indexed citations
12.
Ewing, Pär, et al.. (2015). A Novel In Vivo Receptor Occupancy Methodology for the Glucocorticoid Receptor: Toward An Improved Understanding of Lung Pharmacokinetic/Pharmacodynamic Relationships. Journal of Pharmacology and Experimental Therapeutics. 353(2). 279–287. 14 indexed citations
13.
Evans, Neil D., et al.. (2015). Differentiating between monozygotic twins through DNA methylation-specific high-resolution melt curve analysis. Analytical Biochemistry. 476. 36–39. 28 indexed citations
14.
Keir, Richard, Neil D. Evans, Colin A. Hutchison, et al.. (2013). Kinetic modelling of haemodialysis removal of myoglobin in rhabdomyolysis patients. Computer Methods and Programs in Biomedicine. 114(3). e29–e38. 5 indexed citations
15.
Evans, Neil D., et al.. (2013). Modelling of tumour growth and cytotoxic effect of docetaxel in xenografts. Computer Methods and Programs in Biomedicine. 114(3). e3–e13. 17 indexed citations
16.
Bearup, Daniel, Neil D. Evans, & Michael J. Chappell. (2012). The input–output relationship approach to structural identifiability analysis. Computer Methods and Programs in Biomedicine. 109(2). 171–181. 24 indexed citations
17.
Barnes, Rosemary A., P. Lewis White, Ceri Bygrave, et al.. (2008). Clinical impact of enhanced diagnosis of invasive fungal disease in high-risk haematology and stem cell transplant patients. Journal of Clinical Pathology. 62(1). 64–69. 71 indexed citations
18.
Grant, Neil & Neil D. Evans. (2007). Towards the Formal Verification of a Java Processor in Event-B.. 425–442. 2 indexed citations
19.
Evans, Neil D. & Michael Butler. (2006). A Proposal for Records in Event-B. ePrints Soton (University of Southampton). 1 indexed citations
20.
White, Lisa J., Neil D. Evans, T.J.G.M. Lam, et al.. (2001). The structural identifiability and parameter estimation of a multispecies model for the transmission of mastitis in dairy cows. Mathematical Biosciences. 174(2). 77–90. 17 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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