Michael Lynch

7.0k citations
32 papers · 2.4k indexed · h-index 23

Impact in

Papers in

Michael Lynch

31 papers receiving 2.2k citations

Peers

Michael Lynch
Comparison fields: 5 of 175
  • Biotechnology 529
  • Endocrinology 267
  • Food Science 914
  • Modeling and Simulation 146
  • Infectious Diseases 567
Replace Samir V. Sodha with:
Samir V. Sodha United States
Tracy Ayers United States
Lisa Waddell Canada
Craig Dalton Australia
Patrick Wall Ireland
Kristina M Angelo United States
Sara M. Pires Denmark
Henriette de Valk France
Robin Lake New Zealand
Maarten Nauta Denmark
Michael Lynch relative to Samir V. Sodha United States Samir V. Sodha's profile →
Citations per field
00.5×1.5×
Samir V. Sodha · 1×
Citations per year

Countries citing papers authored by Michael Lynch

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20224
3 202131
4 202126
5 201758
6 201691
7 201524
8 201224
9 201292
10 201176
11 201093
12 201021
13 200970
14 2009137
15 200980
16 2007108
17 2007280
18 200622
19
Scaling-up and sustaining insecticide-treated net coverage [letter]
20031
20 19699

About Michael Lynch

Michael Lynch is a scholar working on Modeling and Simulation, Biotechnology, Food Science, Developmental Biology and Parasitology, having authored 32 papers that have together received 2.4k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (10 papers), Food Safety and Hygiene (9 papers), COVID-19 epidemiological studies (6 papers), Mosquito-borne diseases and control (6 papers), Malaria Research and Control (6 papers), Influenza Virus Research Studies (5 papers), Listeria monocytogenes in Food Safety (5 papers) and Global Maternal and Child Health (4 papers). The work is most often cited by research in Biotechnology (529 citations), Endocrinology (267 citations), Food Science (914 citations), Modeling and Simulation (146 citations) and Infectious Diseases (567 citations). Michael Lynch has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Andrew Pickering, Christopher R. Braden, Rachel Yelk Woodruff, John Painter, Robert M. Hoekstra, Robert V. Tauxe, L. Hannah Gould, Elizabeth R. Daly, Thomas A. Hill and Nishit Patel. Their work appears in journals such as Clinical Infectious Diseases, Epidemiology and Infection, The Lancet Infectious Diseases, Malaria Journal and MMWR Morbidity and Mortality Weekly Report.

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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