Christopher Wills

2.9k total citations · 1 hit paper
39 papers, 2.2k citations indexed

About

Christopher Wills is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Christopher Wills has authored 39 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Plant Science. Recurrent topics in Christopher Wills's work include Fungal and yeast genetics research (9 papers), Genetic factors in colorectal cancer (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Christopher Wills is often cited by papers focused on Fungal and yeast genetics research (9 papers), Genetic factors in colorectal cancer (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). Christopher Wills collaborates with scholars based in United States, United Kingdom and Saudi Arabia. Christopher Wills's co-authors include Masatoshi Nei, David Metzgar, C. Richard Boland, Dong Kyung Chang, Joseph N. Vitale, Christian Holm Hansen, Kevin Dybvig, Li Liu, Th. Dobzhansky and Wyatt W. Anderson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Scientific Reports.

In The Last Decade

Christopher Wills

38 papers receiving 2.0k 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.

Molecular Population Genetics and Evolution.

1976 1.4k citations Christopher Wills, Masatoshi Nei Evolution profile →

Peers

Christopher Wills

GENET

MB

PS

EEBS

ECOLO

Malcolm D. Schug United States

Robert A. Lansman United States

Cecilia Lanave Italy

Jeffrey R. Powell United States

Martin L. Tracey United States

J L Hubby United States

G. A. Dover United Kingdom

Charles F. Baer United States

N. Kaplan United States

Barry L. Williams United States

Malcolm D. Schug United States

Christopher Wills

1.2k ×1.0

GENET

717 ×1.0

MB

534 ×0.9

PS

530 ×1.3

EEBS

499 ×1.4

ECOLO

Citations per year, relative to Christopher Wills Christopher Wills (= 1×) peers Malcolm D. Schug

Countries citing papers authored by Christopher Wills

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Wills

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Wills

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wills, Christopher, Tim Maughan, David I. Fisher, et al.. (2025). Relationship between inherited genetic variation and survival from colorectal cancer stratified by tumour location. Scientific Reports. 15(1). 2423–2423.

2.

Wills, Christopher, et al.. (2024). F061 Risk factors associated with cognitive/psychiatric/behavioural phenotypes in Huntington’s disease. A92.2–A93. 1 indexed citations

3.

Wills, Christopher. (2004). Fungal Populations and Species. Journal of Heredity. 95(1). 90–91. 5 indexed citations

4.

Metzgar, David, Li Liu, Christian Holm Hansen, Kevin Dybvig, & Christopher Wills. (2002). Domain-Level Differences in Microsatellite Distribution and Content Result from Different Relative Rates of Insertion and Deletion Mutations. Genome Research. 12(3). 408–413. 33 indexed citations

5.

Chang, Dong Kyung, David Metzgar, Christopher Wills, & C. Richard Boland. (2001). Microsatellites in the Eukaryotic DNA Mismatch Repair Genes as Modulators of Evolutionary Mutation Rate. Genome Research. 11(7). 1145–1146. 43 indexed citations

6.

Wills, Christopher. (1996). Some puzzles about carbon catabolite repression in yeast. Research in Microbiology. 147(6-7). 566–572. 3 indexed citations

7.

Wills, Christopher. (1993). Scientific Goals of the Human Genome Project.. 73(2). 9–11. 1 indexed citations

8.

Wills, Christopher. (1993). The runaway brain. 8 indexed citations

9.

Wills, Christopher. (1991). Maintenance of Multiallelic Polymorphism at the MHC Region. Immunological Reviews. 124(1). 165–220. 47 indexed citations

10.

Wills, Christopher. (1989). The wisdom of the genes : new pathways in evolution. Oxford University Press eBooks. 14 indexed citations

11.

Ashley, Mary V. & Christopher Wills. (1989). Mitochondrial-DNA and Allozyme Divergence Patterns are Correlated Among Island Deer Mice. Evolution. 43(3). 646–646. 4 indexed citations

12.

Wills, Christopher, et al.. (1988). An efficient selection producing structural gene mutants of yeast alcohol dehydrogenase resistant to pyrazole.. Genetics. 119(4). 791–795. 10 indexed citations

13.

Wills, Christopher, et al.. (1982). Functional Mutants of Yeast Alcohol Dehydrogenase. PubMed. 19. 305–329. 7 indexed citations

14.

Wills, Christopher & Masatoshi Nei. (1976). Molecular Population Genetics and Evolution.. Evolution. 30(1). 198–198. 1400 indexed citations breakdown →

15.

Wills, Christopher, et al.. (1971). THE ACCUMULATION OF GENETIC VARIABILITY IN YEAST. Genetics. 68(4). 547–557. 8 indexed citations

16.

Wills, Christopher, et al.. (1970). A COMPUTER MODEL ALLOWING MAINTENANCE OF LARGE AMOUNTS OF GENETIC VARIABILITY IN MENDELIAN POPULATIONS. I. ASSUMPTIONS AND RESULTS FOR LARGE POPULATIONS. Genetics. 64(1). 107–123. 28 indexed citations

17.

Wills, Christopher. (1970). Genetic Load. Scientific American. 222(3). 98–107. 1 indexed citations

18.

Wills, Christopher, et al.. (1969). THE EFFECT OF MUTAGENESIS ON GROWTH RATE IN HAPLOID AND DIPLOID YEAST. Genetics. 63(4). 843–850. 4 indexed citations

19.

Wills, Christopher. (1968). Yeast Partial Dominance: Effect of Environment and Background Genotype. Science. 160(3827). 549–550. 5 indexed citations

20.

Wills, Christopher. (1966). THE MUTATIONAL LOAD IN TWO NATURAL POPULATIONS OF DROSOPHILA PSEUDOOBSCURA. Genetics. 53(2). 281–294. 11 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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