Peter Henstock

790 total citations · 1 hit paper
12 papers, 571 citations indexed

About

Peter Henstock is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Peter Henstock has authored 12 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Computational Theory and Mathematics. Recurrent topics in Peter Henstock's work include Computational Drug Discovery Methods (3 papers), Medical Image Segmentation Techniques (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Peter Henstock is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Medical Image Segmentation Techniques (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Peter Henstock collaborates with scholars based in United States, Australia and Germany. Peter Henstock's co-authors include Arthur R. Smith, Jinghai J. Xu, J Chabot, David de Graaf, David Chelberg, Jonathan R. Walsh, Martin R. Hodge, Craig B. Davis, Shanrong Zhao and Charles K. Fisher and has published in prestigious journals such as IEEE Transactions on Image Processing, Trends in Pharmacological Sciences and BMC Bioinformatics.

In The Last Decade

Peter Henstock

11 papers receiving 553 citations

Hit Papers

Cellular Imaging Predictions of Clinical Drug-Induced Liv... 2008 2026 2014 2020 2008 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
Peter Henstock United States 8 223 162 125 112 84 12 571
Yuzheng Wu China 19 88 0.4× 253 1.6× 14 0.1× 19 0.2× 89 1.1× 45 891
Wen-Kai Li China 13 80 0.4× 264 1.6× 80 0.6× 41 0.4× 9 0.1× 35 509
Christoph Thiel Germany 10 74 0.3× 77 0.5× 43 0.3× 10 0.1× 27 0.3× 32 325
Yucheng Guo China 11 30 0.1× 226 1.4× 40 0.3× 9 0.1× 24 0.3× 19 553
Kyle Lewis United States 12 46 0.2× 270 1.7× 9 0.1× 174 1.6× 104 1.2× 15 585
Ming Fan China 21 20 0.1× 381 2.4× 44 0.4× 10 0.1× 101 1.2× 79 1.6k
Man‐Hon Wong Hong Kong 15 33 0.1× 566 3.5× 376 3.0× 14 0.1× 10 0.1× 29 812
Jianbo Fu China 17 50 0.2× 806 5.0× 223 1.8× 4 0.0× 43 0.5× 28 1.2k
Ziheng Hu United States 9 30 0.1× 191 1.2× 157 1.3× 5 0.0× 18 0.2× 16 465

Countries citing papers authored by Peter Henstock

Since Specialization
Citations

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

Fields of papers citing papers by Peter Henstock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Henstock

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

All Works

12 of 12 papers shown
1.
Chhabra, Amit, Christos J. Petropoulos, Terri Wrin, et al.. (2024). Global seroprevalence of neutralizing antibodies against adeno-associated virus serotypes used for human gene therapies. Molecular Therapy — Methods & Clinical Development. 32(3). 101273–101273. 27 indexed citations
2.
Landman, Rogier, et al.. (2024). Using large language models for safety-related table summarization in clinical study reports. JAMIA Open. 7(2). ooae043–ooae043. 7 indexed citations
3.
Baran, Szczepan W. & Peter Henstock. (2022). Pathways for Successful AI Adoption in Drug Development. SSRN Electronic Journal. 1 indexed citations
4.
Walsh, Jonathan R., John M. Long, Craig B. Davis, et al.. (2020). Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data. BMC Bioinformatics. 21(1). 119–119. 47 indexed citations
5.
Henstock, Peter. (2019). Artificial Intelligence for Pharma: Time for Internal Investment. Trends in Pharmacological Sciences. 40(8). 543–546. 37 indexed citations
7.
Hua, Fei, Peter Henstock, & Betty Tang. (2010). ERK activation by GM-CSF reduces effectiveness of p38 inhibitor on inhibiting TNFα release. International Immunopharmacology. 10(7). 730–737. 7 indexed citations
8.
Xu, Jinghai J., et al.. (2008). Cellular Imaging Predictions of Clinical Drug-Induced Liver Injury. Toxicological Sciences. 105(1). 97–105. 378 indexed citations breakdown →
9.
Henstock, Peter, et al.. (2001). Toward an improved concept-based information retrieval system. 384–385. 8 indexed citations
10.
Watson, Daniel W., et al.. (1999). Aspects of computational mode and data distribution for parallel range image segmentation. Parallel Computing. 25(5). 499–523. 2 indexed citations
11.
Henstock, Peter & David Chelberg. (1996). Automatic gradient threshold determination for edge detection. IEEE Transactions on Image Processing. 5(5). 784–787. 45 indexed citations
12.
Henstock, Peter & David Chelberg. (1996). Automatic Gradient Threshold Determination for Edge Detection Using a Statistical Model A Description of the Model and Comparison of Algorithms. 5 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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