John M. Hancock

9.5k total citations
145 papers, 5.4k citations indexed

About

John M. Hancock is a scholar working on Molecular Biology, Paleontology and Genetics. According to data from OpenAlex, John M. Hancock has authored 145 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 23 papers in Paleontology and 20 papers in Genetics. Recurrent topics in John M. Hancock's work include Genomics and Phylogenetic Studies (27 papers), RNA and protein synthesis mechanisms (24 papers) and Paleontology and Stratigraphy of Fossils (23 papers). John M. Hancock is often cited by papers focused on Genomics and Phylogenetic Studies (27 papers), RNA and protein synthesis mechanisms (24 papers) and Paleontology and Stratigraphy of Fossils (23 papers). John M. Hancock collaborates with scholars based in United Kingdom, United States and Germany. John M. Hancock's co-authors include G. A. Dover, Erle G. Kauffman, Diethard Tautz, William J. Kennedy, Gabriel A. Dover, Michelle Simon, A. Rus Hoelzel, Ann‐Marie Mallon, Georgios V. Gkoutos and David Webb and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

John M. Hancock

141 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John M. Hancock United Kingdom 42 2.7k 1.1k 952 692 596 145 5.4k
Peter J. Wagner United States 36 1.5k 0.6× 2.2k 2.0× 585 0.6× 461 0.7× 236 0.4× 98 5.9k
Min Wang China 39 1.3k 0.5× 1.9k 1.8× 327 0.3× 342 0.5× 159 0.3× 233 5.1k
Davide Pisani United Kingdom 54 3.2k 1.2× 3.6k 3.4× 1.6k 1.7× 793 1.1× 839 1.4× 117 8.5k
Gert Wörheide Germany 50 3.1k 1.1× 2.4k 2.2× 1.5k 1.6× 376 0.5× 426 0.7× 216 9.6k
John R. Stewart United Kingdom 31 408 0.1× 1.1k 1.0× 1.4k 1.4× 638 0.9× 326 0.5× 96 4.2k
Victor D. Vacquier United States 54 3.5k 1.3× 220 0.2× 2.7k 2.8× 182 0.3× 526 0.9× 220 11.1k
Richard M. Bateman United Kingdom 46 2.8k 1.0× 594 0.6× 803 0.8× 436 0.6× 2.5k 4.3× 183 6.4k
Elizabeth C. Raff United States 38 2.9k 1.1× 577 0.5× 772 0.8× 157 0.2× 545 0.9× 72 4.7k
Susan R. Wilson Australia 32 1.1k 0.4× 705 0.7× 771 0.8× 386 0.6× 172 0.3× 122 3.7k
Jianping Zhang China 37 530 0.2× 2.5k 2.4× 323 0.3× 1.1k 1.6× 945 1.6× 214 5.4k

Countries citing papers authored by John M. Hancock

Since Specialization
Citations

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

Fields of papers citing papers by John M. Hancock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Hancock. 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 John M. Hancock. The network helps show where John M. Hancock may publish in the future.

Co-authorship network of co-authors of John M. Hancock

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Hancock. A scholar is included among the top collaborators of John M. Hancock 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 John M. Hancock. John M. Hancock 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.
Ball, Matthew, et al.. (2024). Drivers and deterrents of child sexual offending: Analysis of offender interactions on the darknet. Australian Institute of Criminology eBooks. 1 indexed citations
2.
Mazurenko, Stanislav, Martin Scheringer, Vítor A. P. Martins dos Santos, et al.. (2024). Making PBPK models more reproducible in practice. Briefings in Bioinformatics. 25(6). 5 indexed citations
3.
Swertz, Morris A., K. Joeri van der Velde, Bruno Tesson, et al.. (2010). XGAP: a uniform and extensible data model and software platform for genotype and phenotype experiments. Genome Biology. 11(3). R27–R27. 23 indexed citations
4.
Gkoutos, Georgios V., Chris Mungall, Michael Ashburner, et al.. (2009). Entity/quality-based logical definitions for the human skeletal phenome using PATO. PubMed. 2009. 7069–7072. 61 indexed citations
5.
Beck, Tim, Hugh W. Morgan, Andrew Blake, et al.. (2009). Practical application of ontologies to annotate and analyse large scale raw mouse phenotype data. BMC Bioinformatics. 10(S5). S2–S2. 34 indexed citations
6.
Webb, Alex, John M. Hancock, & Chris Holmes. (2008). Phylogenetic inference under recombination using Bayesian stochastic topology selection. Bioinformatics. 25(2). 197–203. 9 indexed citations
7.
Jiang, Nan, Roger Cox, & John M. Hancock. (2007). A kinetic core model of the glucose-stimulated insulin secretion network of pancreatic β cells. Mammalian Genome. 18(6-7). 508–520. 30 indexed citations
8.
Mallon, Ann‐Marie, Laurens Wilming, James Gilbert, et al.. (2004). Organization and Evolution of a Gene-Rich Region of the Mouse Genome: A 12.7-Mb Region Deleted in the Del(13)Svea36H Mouse. Genome Research. 14(10a). 1888–1901. 23 indexed citations
9.
Hancock, John M. & Michelle Simon. (2004). Simple sequence repeats in proteins and their significance for network evolution. Gene. 345(1). 113–118. 86 indexed citations
10.
McGregor, Alistair P., Philip J. Shaw, John M. Hancock, et al.. (2001). Rapid restructuring of bicoid‐dependent hunchback promoters within and between Dipteran species: implications for molecular coevolution. Evolution & Development. 3(6). 397–407. 54 indexed citations
11.
Hancock, John M., Elizabeth A. Worthey, & Mauro Santibanez‐Koref. (2001). A Role for Selection in Regulating the Evolutionary Emergence of Disease-Causing and Other Coding CAG Repeats in Humans and Mice. Molecular Biology and Evolution. 18(6). 1014–1023. 55 indexed citations
12.
Hancock, John M. & Alfried P. Vogler. (1998). Modelling the secondary structures of slippage-prone hypervariable RNA regions: the example of the tiger beetle 18S rRNA variable region V4. Nucleic Acids Research. 26(7). 1689–1699. 18 indexed citations
13.
Hancock, John M.. (1996). Simple sequences and the expanding genome. BioEssays. 18(5). 421–425. 94 indexed citations
14.
Hancock, John M., et al.. (1993). The high Cretaceous ammonite fauna from Tercis, Landes, France. Flanders Marine Institute (Flanders Marine Institute). 14 indexed citations
15.
Hancock, John M., et al.. (1993). High Cretaceous biostratigraphy at Tercis, south-west France. Flanders Marine Institute (Flanders Marine Institute). 12 indexed citations
16.
Hoelzel, A. Rus, John M. Hancock, & Gabriel A. Dover. (1993). Generation of VNTRs and heteroplasmy by sequence turnover in the mitochondrial control region of two elephant seal species. Journal of Molecular Evolution. 37(2). 190–197. 68 indexed citations
17.
Hancock, John M. & Gabriel A. Dover. (1990). ‘Compensatory slippage’ in the evolution of ribosomal RNA genes. Nucleic Acids Research. 18(20). 5949–5954. 79 indexed citations
18.
Kennedy, William J., P. Juignet, & John M. Hancock. (1981). Upper Cenomanian ammonites from Anjou and the Vendée, Western France. Biodiversity Heritage Library (Smithsonian Institution). 22 indexed citations
19.
Hancock, John M.. (1953). Studies in monozygotic cattle twins. 9. The value of identical twins in short-term trials.. 35. 97–116. 2 indexed citations
20.
Hancock, John M.. (1953). Studies in monozygotic cattle twins. 10. General summary.. 35. 189–198. 1 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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