Mark Pearson

8.7k citations
143 papers · 6.9k · 2 hit papers · h-index 31

Impact in

Papers in

    • CRISPR and Genetic Engineering 6
  • Law 22
    • Freedom of Expression and Defamation 11
    • Law in Society and Culture 10

Mark Pearson

131 papers receiving 6.3k citations

Mark Pearson's Hit Papers

Handling Qualitative Data: A Practical Guide 2005 · 1.1k citations
1.1k0+13+27Years since publication50010001.5k

Peers

Mark Pearson
Comparison fields: 5 of 212
  • Virology 1.6k
  • Infectious Diseases 968
  • Immunology 792
  • Molecular Biology 2.4k
  • Agronomy and Crop Science 266
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Mark Pearson relative to John Wilkinson United States John Wilkinson's profile →
Citations per field
00.5×6.0×
John Wilkinson · 1×
Citations per year

Countries citing papers authored by Mark Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Mark Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Pearson, 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 Mark Pearson Line = papers co-authored together Mark Pearson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Complete nucleotide sequence of the AIDS virus, HTLV-III
Hit paper breakdown →
19851991
2
Handling Qualitative Data: A Practical Guide
Hit paper breakdown →
20051138
3 2001435
4 1998314
5
Muscle development--molecular and cellular control
1982309
6 2000219
7 1981197
8 1964162
9 1993122
10 197593
11 197479
12 197365
13 199064
14 198461
15 196659
16 199558
17 198551
18 198849
19 199448
20 197447

About Mark Pearson

Mark Pearson is a scholar working on Molecular Biology, Law, Plant Science, Sociology and Political Science and Communication, having authored 143 papers that have together received 6.9k indexed citations. Recurring topics across this work include Freedom of Expression and Defamation (11 papers), Law in Society and Culture (10 papers), Plant responses to elevated CO2 (10 papers), Media Studies and Communication (9 papers), Plant Water Relations and Carbon Dynamics (7 papers), CRISPR and Genetic Engineering (6 papers), Hate Speech and Cyberbullying Detection (6 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Virology (1.6k citations), Infectious Diseases (968 citations), Immunology (792 citations), Molecular Biology (2.4k citations) and Agronomy and Crop Science (266 citations). Mark Pearson has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Henry F. Epstein, H. E. Johns, Steven F. Josephs, B Starcich, William A. Haseltine, Flossie Wong‐Staal, Lee Ratner, Kenneth J. Livak, Stephen R. Petteway and Cheryl M. Corsaro. Their work appears in journals such as Journal of Molecular Biology, Nature, Proceedings of the National Academy of Sciences, Radiation Research and Journal of Biological Chemistry.

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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