Christopher Wills

5.7k citations
87 papers · 3.7k · h-index 31

Impact in

  • Geophysics top 2%
    • earthquake and tectonic studies
    • Seismic Waves and Analysis
  • Genetics top 2%
    • Genetic diversity and population structure
    • Evolution and Genetic Dynamics

Papers in

    • Fungal and yeast genetics research 16
    • Microbial Metabolic Engineering and Bioproduction 10
    • Genomics and Phylogenetic Studies 9
    • Evolution and Genetic Dynamics 12
    • Genetic diversity and population structure 10

Christopher Wills

86 papers receiving 3.5k citations

Peers

Christopher Wills
Comparison fields: 5 of 152
  • Geophysics 747
  • Genetics 856
  • Nature and Landscape Conservation 363
  • Ecology, Evolution, Behavior and Systematics 529
  • Civil and Structural Engineering 544
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Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976298
2 2009262
3 1997248
4 1999216
5 2006214
6 1998172
7 2011136
8 1996132
9 2006121
10 2015112
11 200099
12 199993
13 199883
14 197680
15 199076
16 198773
17 197569
18 198167
19 199962
20 197958

About Christopher Wills

Christopher Wills is a scholar working on Molecular Biology, Genetics, Geophysics, Ecology, Evolution, Behavior and Systematics and Food Science, having authored 87 papers that have together received 3.7k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (16 papers), Evolution and Genetic Dynamics (12 papers), Genetic diversity and population structure (10 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Genomics and Phylogenetic Studies (9 papers), Fermentation and Sensory Analysis (7 papers), earthquake and tectonic studies (7 papers) and Seismic Waves and Analysis (6 papers). The work is most often cited by research in Geophysics (747 citations), Genetics (856 citations), Nature and Landscape Conservation (363 citations), Ecology, Evolution, Behavior and Systematics (529 citations) and Civil and Structural Engineering (544 citations). Christopher Wills has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Dawn Field, David Metzgar, Richard Condit, Stephen P. Hubbell, Robin B. Foster, Mary V. Ashley, E. Richard Moxon, Hans Jörnvall, Mark D. Petersen and Timothy E. Dawson. Their work appears in journals such as Evolution, Genetics, Bulletin of the Seismological Society of America, Proceedings of the National Academy of Sciences and FEBS Letters.

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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