Mark J. Hickman

1.6k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Mark J. Hickman is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Mark J. Hickman has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in Mark J. Hickman's work include Fungal and yeast genetics research (8 papers), DNA Repair Mechanisms (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Mark J. Hickman is often cited by papers focused on Fungal and yeast genetics research (8 papers), DNA Repair Mechanisms (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Mark J. Hickman collaborates with scholars based in United States, France and Japan. Mark J. Hickman's co-authors include Leona D. Samson, Fred Winston, David Botstein, Daniel P. Rice, Erica Sodergren, Gregory I. Lang, George M. Weinstock, Michael M. Desai, Sanford J. Silverman and Allegra A. Petti and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

Mark J. Hickman

15 papers receiving 1.1k citations

Hit Papers

Pervasive genetic hitchhiking and clonal interference in ... 2013 2026 2017 2021 2013 100 200 300

Peers

Mark J. Hickman
Comparison fields: 5 of 87
  • Molecular Biology 847
  • Genetics 333
  • Pathology and Forensic Medicine 162
  • Cancer Research 150
  • Oncology 131
Malgorzata M. Slupska United States
Claude Saint‐Ruf France
Magdalena Skrzypczak Poland
Jian‐Rong Yang China
Cheryl M. Tucker United States
Bruce E. Taillon United States
Claudia Isabelle Keller Valsecchi Germany
Konstantinos Mavridis Greece
Enrique Viguera Spain
Malgorzata M. Slupska United States View profile →
Citations per field, relative to Mark J. Hickman
Mark J. Hickman · 1×
Citations per year, relative to Mark J. Hickman
Mark J. Hickman · 1×

Countries citing papers authored by Mark J. Hickman

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Hickman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark J. Hickman

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 8
2 2
3 33
4 12
5
Pervasive genetic hitchhiking and clonal interference in forty evolving yeast populations breakdown →
389
6 2
7 40
8 105
9 54
10 113
11 74
12 12
13 37
14 256
15 18

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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