John M. Hancock

9.5k citations
145 papers · 5.5k · h-index 42

Impact in

Papers in

    • Genomics and Phylogenetic Studies 24
    • Biomedical Text Mining and Ontologies 24
    • RNA and protein synthesis mechanisms 21
    • Bioinformatics and Genomic Networks 18
    • Gene expression and cancer classification 11
    • RNA Research and Splicing 10
    • Paleontology and Stratigraphy of Fossils 23

John M. Hancock

141 papers receiving 5.1k citations

Peers

John M. Hancock
Comparison fields: 5 of 169
  • Paleontology 1.1k
  • Earth-Surface Processes 319
  • Atmospheric Science 693
  • Molecular Biology 2.6k
  • Geology 213
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside John M. Hancock, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John M. Hancock Line = papers co-authored together John M. Hancock links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979366
2 1988307
3 1991202
4 1988182
5 2004168
6 1999159
7 1975135
8 1984132
9 1995128
10 2009107
11 1988105
12 2001104
13 199694
14 200992
15 200486
16 199981
17 199079
18 202078
19 199976
20 201974

About John M. Hancock

John M. Hancock is a scholar working on Molecular Biology, Paleontology, Genetics, Atmospheric Science and Ecology, having authored 145 papers that have together received 5.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (24 papers), Biomedical Text Mining and Ontologies (24 papers), Paleontology and Stratigraphy of Fossils (23 papers), RNA and protein synthesis mechanisms (21 papers), Bioinformatics and Genomic Networks (18 papers), Geology and Paleoclimatology Research (15 papers), Gene expression and cancer classification (11 papers) and RNA Research and Splicing (10 papers). The work is most often cited by research in Paleontology (1.1k citations), Earth-Surface Processes (319 citations), Atmospheric Science (693 citations), Molecular Biology (2.6k citations) and Geology (213 citations). John M. Hancock has collaborated with scholars based in United Kingdom, United States and Germany. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Molecular Biology and Evolution, Journal of Molecular Evolution, Cretaceous Research and Bioinformatics.

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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