Christopher Wills

5.7k total citations
87 papers, 3.7k citations indexed

About

Christopher Wills is a scholar working on Molecular Biology, Genetics and Geophysics. According to data from OpenAlex, Christopher Wills has authored 87 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 25 papers in Genetics and 12 papers in Geophysics. Recurrent topics in Christopher Wills's work include Fungal and yeast genetics research (16 papers), Evolution and Genetic Dynamics (12 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). Christopher Wills is often cited by papers focused on Fungal and yeast genetics research (16 papers), Evolution and Genetic Dynamics (12 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). Christopher Wills collaborates with scholars based in United States, United Kingdom and Sweden. Christopher Wills's co-authors include Dawn Field, David Metzgar, Richard Condit, Stephen P. Hubbell, Robin B. Foster, Mary V. Ashley, E. Richard Moxon, Hans Jörnvall, Timothy E. Dawson and Mark D. Petersen and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Christopher Wills

86 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Wills United States	31	1.1k	856	747	544	529	87	3.7k
Ming Li China	37	873 0.8×	757 0.9×	260 0.3×	9 0.0×	910 1.7×	233	4.7k
Bó Wáng China	36	501 0.5×	1.5k 1.8×	171 0.2×	24 0.0×	4.1k 7.7×	431	5.9k
Michael A. Keller Australia	38	491 0.5×	381 0.4×	37 0.0×	9 0.0×	1.2k 2.3×	160	4.2k
David B. Taylor United States	23	277 0.3×	143 0.2×	80 0.1×	9 0.0×	619 1.2×	99	3.0k
Jean‐François Beckers Belgium	30	482 0.4×	1.5k 1.7×	73 0.1×	9 0.0×	187 0.4×	177	3.4k
Yan Fang China	28	741 0.7×	637 0.7×	170 0.2×	3 0.0×	1.0k 1.9×	142	2.8k
Richard E. Miller United States	25	676 0.6×	418 0.5×	8 0.0×	65 0.1×	690 1.3×	78	2.5k
Johannes Müller Germany	32	442 0.4×	430 0.5×	28 0.0×	6 0.0×	582 1.1×	195	4.0k
Michael R. Wilson United Kingdom	27	248 0.2×	309 0.4×	519 0.7×	2 0.0×	619 1.2×	122	2.6k
Shan Huang China	23	308 0.3×	306 0.4×	31 0.0×	23 0.0×	268 0.5×	80	1.8k

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

Wills, Christopher, Kyle E. Harms, Thorsten Wiegand, et al.. (2016). Persistence of Neighborhood Demographic Influences over Long Phylogenetic Distances May Help Drive Post-Speciation Adaptation in Tropical Forests. PLoS ONE. 11(6). e0156913–e0156913. 11 indexed citations

Wills, Christopher. (2011). Rapid Recent Human Evolution and the Accumulation of Balanced Genetic Polymorphisms. High Altitude Medicine & Biology. 12(2). 149–155. 6 indexed citations

Veretnik, Stella, Christopher Wills, Philippe Youkharibache, Ruben Valas, & Philip E. Bourne. (2009). Sm/Lsm Genes Provide a Glimpse into the Early Evolution of the Spliceosome. PLoS Computational Biology. 5(3). e1000315–e1000315. 36 indexed citations

Hough, S. E., et al.. (2006). Site Characterization Using Satellite Imagery. AGUFM. 2006. 1 indexed citations

Wills, Christopher. (2002). Comparing Landslide Inventories: The Map Depends on the Method. Environmental and Engineering Geoscience. 8(4). 279–293. 44 indexed citations

Metzgar, David, et al.. (2001). The microsatellites of Escherichia coli: rapidly evolving repetitive DNAs in a non‐pathogenic prokaryote. Molecular Microbiology. 39(1). 183–190. 35 indexed citations

Metzgar, David & Christopher Wills. (2000). Evolutionary changes in mutation rates and spectra and their influence onthe adaptation of pathogens. Microbes and Infection. 2(12). 1513–1522. 18 indexed citations

Metzgar, David & Christopher Wills. (2000). Evidence for the Adaptive Evolution of Mutation Rates. Cell. 101(6). 581–584. 99 indexed citations

Field, Dawn, Marcelo O. Magnasco, E. Richard Moxon, et al.. (1999). Contingency Loci, Mutator Alleles, and Their Interactions: Synergistic Strategies for Microbial Evolution and Adaptation in Pathogenesis^a. Annals of the New York Academy of Sciences. 870(1). 378–381. 20 indexed citations

10.

Wills, Christopher & Walter Silva. (1998). 7. Shear‐Wave Velocity Characteristics of Geologic Units in California. Earthquake Spectra. 14(3). 533–556. 83 indexed citations

11.

Wills, Christopher, et al.. (1998). Mismatch repair and the accumulation of deleterious mutations influence the competitive advantage of MAT (mating type) heterozygosity in the yeast Saccharomyces cerevisiae. Genetics Research. 71(1). 1–10. 6 indexed citations

12.

Metzgar, David, Dawn Field, Richard Haubrich, & Christopher Wills. (1998). Sequence analysis of a compound coding-region microsatellite inCandida albicansresolves homoplasies and provides a high-resolution tool for genotyping. FEMS Immunology & Medical Microbiology. 20(2). 103–109. 27 indexed citations

13.

Wills, Christopher, Alicia Farmer, & Gerald Myers. (1996). Sequence Note : Rapid Sequon Evolution in Human Immunodeficiency Virus Type 1 Relative to Human Immunodeficiency Virus Type 2. AIDS Research and Human Retroviruses. 12(14). 1383–1384. 5 indexed citations

14.

Wills, Christopher. (1996). Improving the analysis of phylogenetic data. Computers & Chemistry. 20(1). 61–66. 1 indexed citations

15.

Field, Dawn, et al.. (1996). Use of polymorphic short and clustered coding-region microsatellites to distinguish strains ofCandida albicans. FEMS Immunology & Medical Microbiology. 15(2-3). 73–79. 53 indexed citations

16.

Wills, Christopher. (1996). Another nail in the coffin of the multiple‐origins theory?. BioEssays. 18(12). 1017–1020. 4 indexed citations

17.

Wills, Christopher. (1995). Topiary Pruning of the HIV and SIV Phylogenetic Tree. AIDS Research and Human Retroviruses. 11(11). 1417–1419. 2 indexed citations

18.

Smith, Douglas W., et al.. (1994). Similarity landscapes: A way to detect many structural and sequence motifs in both introns and exons. Journal of Molecular Evolution. 38(2). 188–203. 3 indexed citations

19.

Wills, Christopher. (1991). The Role of Molecular Biology in Human Evolutionary Studies: Current Status and Future Prospects. Elsevier eBooks. 1. 169–232. 2 indexed citations

20.

Wills, Christopher. (1989). A neotectonic tour of the Death Valley fault zone, Inyo County. International Conference on Multimedia Information Networking and Security. 4 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.

Explore authors with similar magnitude of impact