Filippa Lentzos

1.1k citations
49 papers · 582 · 1 hit paper · h-index 11

Impact in

Papers in

Filippa Lentzos

44 papers receiving 533 citations

Filippa Lentzos's Hit Papers

Dual use of artificial-intelligence-powered drug discovery 2022 · 162 citations
1620+1+2Years since publication50100150

Peers

Filippa Lentzos
Comparison fields: 5 of 121
  • Health Informatics 22
  • Sociology and Political Science 178
  • Biophysics 21
  • Geography, Planning and Development 19
  • Computational Theory and Mathematics 48
Replace Chris McWilliams with:
Chris McWilliams United Kingdom
Calvin Wai-Loon Ho Singapore
Linda Nordling Sweden
Jeffrey Brainard
Rebecca A. Meseroll United States
Bart Penders Netherlands
Amye Kenall Germany
Federico Nanni Germany
Helena Zábranská Czechia
Michael J. Culbertson United States
Filippa Lentzos relative to Chris McWilliams United Kingdom Chris McWilliams's profile →
Citations per field
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Citations per year

Countries citing papers authored by Filippa Lentzos

Since Specialization
Citations

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

Fields of papers citing papers by Filippa Lentzos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009163
2
Dual use of artificial-intelligence-powered drug discovery
Hit paper breakdown →
2022162
3 201432
4 200623
5 201423
6 202022
7 200914
8 202013
9 200812
10 200811
11 202210
12 20178
13 20228
14 20157
15 20206
16 20115
17 20065
18 20235
19
The Russian disinformation attack that poses a biological danger
20184
20 20124

About Filippa Lentzos

Filippa Lentzos is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Infectious Diseases and Sociology and Political Science, having authored 49 papers that have together received 582 indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (19 papers), Science, Research, and Medicine (8 papers), Biotechnology and Related Fields (6 papers), CRISPR and Genetic Engineering (5 papers), Viral Infections and Outbreaks Research (5 papers), Global Security and Public Health (4 papers), Gene Regulatory Network Analysis (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Health Informatics (22 citations), Sociology and Political Science (178 citations), Biophysics (21 citations), Geography, Planning and Development (19 citations) and Computational Theory and Mathematics (48 citations). Filippa Lentzos has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Nikolas Rose, Cédric Invernizzi, Sean Ekins, Fabio Urbina, Catherine Jefferson, Claire Marris, Michael S. Goodman, James M. Wilson, Jef D. Boeke and Drew Endy. Their work appears in journals such as BioSocieties, Health Security, The Nonproliferation Review, Bulletin of the Atomic Scientists and Nature Machine Intelligence.

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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