Lisa Willis
Impact in
- Biophysics top 10%
-
- Plant Reproductive Biology
- Gene Regulatory Network Analysis
Papers in
-
- Protein Structure and Dynamics 3
- Gut microbiota and health 3
- Protist diversity and phylogeny 3
- Bacterial biofilms and quorum sensing 2
- Genetics 6
- Bacterial Genetics and Biotechnology 3
- Evolution and Genetic Dynamics 3
- Co-authors
- Kerwyn Casey Huang (10 shared papers)Henrik Jönsson (2 shared papers)Yassin Refahi (1 shared paper)José Teles (1 shared paper)Benoît Landrein (1 shared paper)Elliot M. Meyerowitz (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)Gastroenterology (1 paper)BMC Biology (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Lisa Willis
22 papers receiving 586 citations
Peers
Comparison fields: 5 of 96
- Biophysics 30
- Molecular Biology 351
- Aging 8
- Genetics 126
- 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 | 125 | |
| 2 | 2017 | 119 | |
| 3 | 2009 | 50 | |
| 4 | 2010 | 39 | |
| 5 | 2017 | 36 | |
| 6 | 2020 | 33 | |
| 7 | 1990 | 32 | |
| 8 | 2021 | 26 | |
| 9 | 2012 | 23 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 13 | |
| 12 | 2005 | 13 | |
| 13 | 2010 | 13 | |
| 14 | 2013 | 11 | |
| 15 | 2013 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2020 | 7 | |
| 18 | 2024 | 4 | |
| 19 | Conventional dose cytosine arabinoside in combination chemotherapy for acute myelogenous leukemia. | 1987 | 4 |
| 20 | 2025 | 3 |
About Lisa Willis
Lisa Willis is a scholar working on Molecular Biology, Genetics, Ecology, Oncology and Biomaterials, having authored 22 papers that have together received 590 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), Bacterial Genetics and Biotechnology (3 papers), Diatoms and Algae Research (3 papers), Protein Structure and Dynamics (3 papers), Gut microbiota and health (3 papers), Evolution and Genetic Dynamics (3 papers), Protist diversity and phylogeny (3 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Biophysics (30 citations), Molecular Biology (351 citations), Aging (8 citations), Genetics (126 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, José Teles, Benoît Landrein, Elliot M. Meyerowitz, Raymond Wightman, Eileen J. Cox, Ian Tomlinson and Nicholas A. Wright. Their work appears in journals such as Journal of The Royal Society Interface, iScience, Gastroenterology, BMC Biology and Current Biology.
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.