Lorenzo Pellis

4.0k citations

56 papers · 1.4k indexed · h-index 20

Impact in

Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research

Papers in

Modeling and Simulation 37
- COVID-19 epidemiological studies 37
Infectious Diseases 20
- SARS-CoV-2 and COVID-19 Research 9
- Viral Infections and Outbreaks Research 9

Co-authors: Christophe Fraser Thomas House Marco Pautasso M. J. Jeger Frank Ball Matteo Garbelotto Thomas Döring Pieter Trapman
Journals: Epidemics (9 papers)PLoS Computational Biology (5 papers)Mathematical Biosciences (3 papers)Royal Society Open Science (3 papers)Philosophical Transactions of the Royal Society B Biological Sciences (3 papers)
Partner nations: United Kingdom United States Canada

In The Last Decade

Lorenzo Pellis

50 papers receiving 1.4k citations

Peers

Countries citing papers authored by Lorenzo Pellis

Since Specialization

Citations

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

Fields of papers citing papers by Lorenzo Pellis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

#	Work
1	A systematic review to identify research gaps in studies modeling MenB vaccinations against Neisseria infections PLoS ONE ·Soeren Metelmann, Alexander Thompson, Anna Donten, Segun I. Oke, Suzy Sun, Ray Borrow, Feng Xu, Roberto Vivancos, Valérie Decraene, Lorenzo Pellis, Ian Hall	2025	0
2	Time-varying reproduction number estimation: fusing compartmental models with generalized additive models Journal of The Royal Society Interface ·Xiaoxi Pang, Yang Han, Elise Tressier, Nurin Abdul Aziz, Lorenzo Pellis, Thomas House, Ian Hall	2025	0
3	Probability of extinction and peak time for multi-type epidemics with application to COVID-19 variants of concern Journal of Theoretical Biology ·Jacob Curran-Sebastian, Louise Dyson, Edward M. Hill, Ian Hall, Lorenzo Pellis, Thomas House	2025	0
4	Modelling the impact of non-pharmaceutical interventions on workplace transmission of SARS-CoV-2 in the home-delivery sector PLoS ONE ·Carl A. Whitfield, Martie van Tongeren, Yang Han, Wei Hua, Sarah Daniels, Martyn Regan, David W. Denning, Arpana Verma, Lorenzo Pellis, Ian Hall	2023	4
5	Voluntary risk mitigation behaviour can reduce impact of SARS-CoV-2: a real-time modelling study of the January 2022 Omicron wave in England BMC Medicine ·Ellen Brooks‐Pollock, Kate Northstone, Lorenzo Pellis, Francesca Scarabel, Amy Thomas, Emily Nixon, David A. Matthews, Vicky Bowyer, María Paz García, Claire J. Steves, Nicholas J. Timpson, León Danon	2023	2
6	The challenges of data in future pandemics Epidemics ·Nigel Shadbolt, Alys Brett, Min Chen, Glenn Marion, Iain J. McKendrick, Jasmina Panovska‐Griffiths, Lorenzo Pellis, Richard Reeve, Ben Swallow	2022	16
7	Challenges for modelling interventions for future pandemics Epidemics ·Mirjam Kretzschmar, Ben Ashby, Elizabeth Fearon, Christopher E. Overton, Jasmina Panovska‐Griffiths, Lorenzo Pellis, Matthew Quaife, Ganna Rozhnova, Francesca Scarabel, Helena B. Stage, Ben Swallow, Robin N. Thompson, Michael J. Tildesley, Daniel Antunes Maciel Villela	2022	38
8	Challenges in estimation, uncertainty quantification and elicitation for pandemic modelling Epidemics ·Ben Swallow, Paul Birrell, Joshua Blake, Mark A. Burgman, Peter Challenor, Luc E. Coffeng, A. P. Dawid, Daniela De Angelis, Michael Goldstein, Victoria Hemming, Glenn Marion, Trevelyan J. McKinley, Christopher E. Overton, Jasmina Panovska‐Griffiths, Lorenzo Pellis, Will Probert, Katriona Shea, Daniel Antunes Maciel Villela, Ian Vernon	2022	21
9	Using a household-structured branching process to analyse contact tracing in the SARS-CoV-2 pandemic Philosophical Transactions of the Royal Society B Biological Sciences ·Martyn Fyles, Elizabeth Fearon, Christopher E. Overton, (unknown), Tom Wingfield, Graham F. Medley, Ian Hall, Lorenzo Pellis, Thomas House	2021	25
10	Commentary on the use of the reproduction number R during the COVID-19 pandemic Statistical Methods in Medical Research ·Carolin Vegvari, Sam Abbott, Frank Ball, Ellen Brooks‐Pollock, Robert Challen, Benjamin Collyer, C. E. Dangerfield, Julia R. Gog, Katelyn M. Gostic, Jane M. Heffernan, T. Déirdre Hollingsworth, Valerie Isham, Eben Kenah, Denis Mollison, Jasmina Panovska‐Griffiths, Lorenzo Pellis, Michael C. Roberts, Gianpaolo Scalia Tomba, Robin N. Thompson, Pieter Trapman	2021	25
11	Growth, reproduction numbers and factors affecting the spread of SARS-CoV-2 novel variants of concern in the UK from October 2020 to July 2021: a modelling analysis BMJ Open ·Thomas Ward, Alex Glaser, Alexander Johnsen, Feng Xu, Ian Hall, Lorenzo Pellis	2021	15
12	Outbreaks in care homes may lead to substantial disease burden if not mitigated Philosophical Transactions of the Royal Society B Biological Sciences ·Ian Hall, Hugo Lewkowicz, Luke Webb, Thomas House, Lorenzo Pellis, James Sedgwick, Nick Gent, (unknown)	2021	8
13	A renewal equation model to assess roles and limitations of contact tracing for disease outbreak control Royal Society Open Science ·Francesca Scarabel, Lorenzo Pellis, Nicholas H. Ogden, Jian Wu	2021	11
14	Modelling that shaped the early COVID-19 pandemic response in the UK Philosophical Transactions of the Royal Society B Biological Sciences ·Ellen Brooks‐Pollock, León Danon, Thibaut Jombart, Lorenzo Pellis	2021	49
15	Estimating hepatitis B virus cccDNA persistence in chronic infection† Virus Evolution ·Katrina Lythgoe, Sheila Lumley, Lorenzo Pellis, Jane A. McKeating, Philippa C. Matthews	2020	20
16	Canada needs to rapidly escalate public health interventions for its COVID-19 mitigation strategies Infectious Disease Modelling ·Francesca Scarabel, Lorenzo Pellis, Nicola Luigi Bragazzi, Jian Wu	2020	18
17	Evaluating the Evidence for Lymphatic Filariasis Elimination Trends in Parasitology ·Emma L. Davis, Lisa J. Reimer, Lorenzo Pellis, T. Déirdre Hollingsworth	2019	16
18	Information content of household-stratified epidemics Epidemics ·Timothy Kinyanjui, Lorenzo Pellis, Thomas House	2016	5
19	Disease spread in small‐size directed trade networks: the role of hierarchical categories Journal of Applied Ecology ·Marco Pautasso, Xiangming Xu, M. J. Jeger, Thomas D. Harwood, Mathieu Moslonka‐Lefebvre, Lorenzo Pellis	2010	23
20	Epidemic growth rate and household reproduction number in communities of households, schools and workplaces Journal of Mathematical Biology ·Lorenzo Pellis, Neil M. Ferguson, Christophe Fraser	2010	17

About Lorenzo Pellis

Lorenzo Pellis is a scholar working on Modeling and Simulation, Infectious Diseases, Virology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (37 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Influenza Virus Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Viral Infections and Outbreaks Research (9 papers), Data-Driven Disease Surveillance (8 papers), Evolution and Genetic Dynamics (5 papers) and COVID-19 Digital Contact Tracing (3 papers). The work is most often cited by research in Modeling and Simulation (681 citations), Infectious Diseases (374 citations), Virology (61 citations), Statistical and Nonlinear Physics (130 citations) and Public Health, Environmental and Occupational Health (287 citations). Lorenzo Pellis has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Christophe Fraser, Thomas House, Marco Pautasso, M. J. Jeger, Frank Ball, Matteo Garbelotto, Thomas Döring, Pieter Trapman, Neil M. Ferguson and Katrina Lythgoe. Their work appears in journals such as Epidemics, PLoS Computational Biology, Mathematical Biosciences, Royal Society Open Science and Philosophical Transactions of the Royal Society B Biological Sciences.

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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