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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pervasive genetic hitchhiking and clonal interference in forty evolving yeast populations

2013 389 citations Gregory I. Lang, Daniel P. Rice et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark J. Hickman United States	12	847	333	162	150	131	15	1.2k
Malgorzata M. Slupska United States	12	838 1.0×	306 0.9×	252 1.6×	187 1.2×	134 1.0×	15	1.0k
Claude Saint‐Ruf France	19	809 1.0×	349 1.0×	38 0.2×	106 0.7×	511 3.9×	34	2.1k
Magdalena Skrzypczak Poland	20	1.5k 1.8×	175 0.5×	100 0.6×	214 1.4×	286 2.2×	37	2.0k
Jian‐Rong Yang China	17	1.7k 2.0×	356 1.1×	54 0.3×	937 6.2×	63 0.5×	45	2.1k
Cheryl M. Tucker United States	7	1.1k 1.3×	472 1.4×	21 0.1×	195 1.3×	134 1.0×	7	1.5k
Bruce E. Taillon United States	15	910 1.1×	205 0.6×	39 0.2×	69 0.5×	77 0.6×	22	1.4k
Claudia Isabelle Keller Valsecchi Germany	19	924 1.1×	272 0.8×	19 0.1×	146 1.0×	87 0.7×	30	1.5k
Konstantinos Mavridis Greece	23	820 1.0×	65 0.2×	41 0.3×	315 2.1×	237 1.8×	76	1.6k
Enrique Viguera Spain	17	1.2k 1.4×	571 1.7×	37 0.2×	158 1.1×	80 0.6×	27	1.7k

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

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15 of 15 papers shown

Romano, Kymberleigh A., et al.. (2018). A Recurrent Silent Mutation Implicates fecA in Ethanol Tolerance by Escherichia coli. BMC Microbiology. 18(1). 36–36. 8 indexed citations

Evans, Nathan, et al.. (2017). Measuring mRNA Levels Over Time During the Yeast <em>S. cerevisiae</em> Hypoxic Response. Journal of Visualized Experiments. 2 indexed citations

Hickman, Mark J., et al.. (2017). Time-Course Analysis of Gene Expression During theSaccharomyces cerevisiaeHypoxic Response. G3 Genes Genomes Genetics. 7(1). 221–231. 33 indexed citations

Hickman, Mark J., et al.. (2015). Analysis of Polygenic Mutants Suggests a Role for Mediator in Regulating Transcriptional Activation Distance in Saccharomyces cerevisiae. Genetics. 201(2). 599–612. 12 indexed citations

Lang, Gregory I., Daniel P. Rice, Mark J. Hickman, et al.. (2013). Pervasive genetic hitchhiking and clonal interference in forty evolving yeast populations. Nature. 500(7464). 571–574. 389 indexed citations breakdown →

Gibney, Patrick A., Mark J. Hickman, Patrick H. Bradley, John C. Matese, & David Botstein. (2013). Phylogenetic Portrait of the Saccharomyces cerevisiae Functional Genome. G3 Genes Genomes Genetics. 3(8). 1335–1340. 2 indexed citations

Hickman, Mark J., et al.. (2011). Coordinated regulation of sulfur and phospholipid metabolism reflects the importance of methylation in the growth of yeast. Molecular Biology of the Cell. 22(21). 4192–4204. 40 indexed citations

McIsaac, R. Scott, Sanford J. Silverman, Megan N. McClean, et al.. (2011). Fast-acting and nearly gratuitous induction of gene expression and protein depletion inSaccharomyces cerevisiae. Molecular Biology of the Cell. 22(22). 4447–4459. 105 indexed citations

Hickman, Mark J., et al.. (2011). The Hog1 Mitogen-Activated Protein Kinase Mediates a Hypoxic Response inSaccharomyces cerevisiae. Genetics. 188(2). 325–338. 54 indexed citations

10.

Hickman, Mark J. & Fred Winston. (2007). Heme Levels Switch the Function of Hap1 of Saccharomyces cerevisiae between Transcriptional Activator and Transcriptional Repressor. Molecular and Cellular Biology. 27(21). 7414–7424. 113 indexed citations

11.

Hickman, Mark J. & Leona D. Samson. (2004). Apoptotic Signaling in Response to a Single Type of DNA Lesion, O6-Methylguanine. Molecular Cell. 14(1). 105–116. 74 indexed citations

12.

Hickman, Mark J. & John Cairns. (2003). The Centenary of the One-Gene One-Enzyme Hypothesis. Genetics. 163(3). 839–841. 12 indexed citations

13.

Ghosh, Sudip Kumar, Jessica Field, Rick A. Rogers, Mark J. Hickman, & John Samuelson. (2000). The Entamoeba histolytica Mitochondrion-Derived Organelle (Crypton) Contains Double-Stranded DNA and Appears To Be Bound by a Double Membrane. Infection and Immunity. 68(7). 4319–4322. 37 indexed citations

14.

Hickman, Mark J. & Leona D. Samson. (1999). Role of DNA mismatch repair and p53 in signaling induction of apoptosis by alkylating agents. Proceedings of the National Academy of Sciences. 96(19). 10764–10769. 256 indexed citations

15.

Hickman, Mark J., Cindy Orser, David K. Willis, Steven E. Lindow, & N. J. Panopoulos. (1987). Molecular cloning and biological characterization of the recA gene from Pseudomonas syringae. Journal of Bacteriology. 169(6). 2906–2910. 18 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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