Lisa Willis
Impact in
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- Gene Regulatory Network Analysis
- Plant Reproductive Biology
- Biophysics top 10%
Papers in
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- Protein Structure and Dynamics 3
- Gut microbiota and health 3
- Protist diversity and phylogeny 3
- Genetics 6
- Evolution and Genetic Dynamics 3
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Kerwyn Casey Huang (10 shared papers)Henrik Jönsson (2 shared papers)Yassin Refahi (1 shared paper)Benoît Landrein (1 shared paper)Elliot M. Meyerowitz (1 shared paper)José Teles (1 shared paper)Raymond Wightman (1 shared paper)Eileen J. Cox (3 shared papers)
- Journals
- Journal of The Royal Society Interface (2 papers)iScience (1 paper)Cell Reports (1 paper)Current Biology (1 paper)Nature Microbiology (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Lisa Willis
22 papers receiving 611 citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 343
- Biophysics 29
- Aging 8
- Genetics 118
- Endocrinology 22
Countries citing papers authored by Lisa Willis
This map shows the geographic impact of Lisa Willis'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 Lisa Willis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Willis more than expected).
Fields of papers citing papers by Lisa Willis
This network shows the impact of papers produced by Lisa Willis. 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 Lisa Willis. The network helps show where Lisa Willis may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa Willis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 127 | |
| 2 | 2017 | 121 | |
| 3 | 2009 | 50 | |
| 4 | 2010 | 39 | |
| 5 | 2017 | 37 | |
| 6 | 2020 | 36 | |
| 7 | 1990 | 33 | |
| 8 | 2021 | 27 | |
| 9 | 2012 | 23 | |
| 10 | 2024 | 18 | |
| 11 | 2022 | 16 | |
| 12 | 2021 | 13 | |
| 13 | 2005 | 13 | |
| 14 | 2010 | 13 | |
| 15 | 2013 | 12 | |
| 16 | 2013 | 10 | |
| 17 | 2020 | 7 | |
| 18 | 2024 | 5 | |
| 19 | 2025 | 5 | |
| 20 | Conventional dose cytosine arabinoside in combination chemotherapy for acute myelogenous leukemia. | 1987 | 4 |
About Lisa Willis
Lisa Willis is a scholar working on Molecular Biology, Genetics, Oncology, Ecology and Biomaterials, having authored 22 papers that have together received 614 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Gut microbiota and health (3 papers), Breast Cancer Treatment Studies (3 papers), Evolution and Genetic Dynamics (3 papers), Protist diversity and phylogeny (3 papers), Diatoms and Algae Research (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Molecular Biology (343 citations), Biophysics (29 citations), Aging (8 citations), Genetics (118 citations) and Endocrinology (22 citations). Lisa Willis has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Kerwyn Casey Huang, Henrik Jönsson, Yassin Refahi, Benoît Landrein, Elliot M. Meyerowitz, José Teles, Raymond Wightman, Eileen J. Cox, Ian Tomlinson and Katie Bentley. Their work appears in journals such as Journal of The Royal Society Interface, iScience, Cell Reports, Current Biology and Nature Microbiology.
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.