David Modiano

96 papers receiving 3.5k citations

Peers

David Modiano
Comparison fields: 5 of 163
  • Parasitology 433
  • Public Health, Environmental and Occupational Health 1.7k
  • Genetics 337
  • Genetics 845
  • Immunology 585
Replace Jeffrey A. Bailey with:
Jeffrey A. Bailey United States
Francisco J. Ayala United States
Akira Kaneko Japan
Anand P. Patil United Kingdom
F. Ellis McKenzie United States
Robert A. Davey United States
Mark Seielstad United States
William W. Hall Ireland
Karen P. Day United Kingdom
Tom Britton Sweden
David Modiano relative to Jeffrey A. Bailey United States Jeffrey A. Bailey's profile →
Citations per field
00.5×2.6×
Jeffrey A. Bailey · 1×
Citations per year

Countries citing papers authored by David Modiano

Since Specialization
Citations

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

Fields of papers citing papers by David Modiano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005356
2 2002276
3 2001250
4 1996195
5 2005155
6
Chombo Software Package for AMR Applications Design Document
2014143
7 200590
8 199986
9 201183
10 200181
11 199781
12 200180
13 199879
14 199874
15 198872
16 200764
17 200955
18 199854
19 201152
20 200850

About David Modiano

David Modiano is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Immunology, Parasitology and Computational Mechanics, having authored 97 papers that have together received 3.7k indexed citations. Recurring topics across this work include Malaria Research and Control (60 papers), Mosquito-borne diseases and control (30 papers), Parasites and Host Interactions (11 papers), Computational Fluid Dynamics and Aerodynamics (9 papers), Hemoglobinopathies and Related Disorders (8 papers), Complement system in diseases (7 papers), Invertebrate Immune Response Mechanisms (6 papers) and Fluid Dynamics and Turbulent Flows (6 papers). The work is most often cited by research in Parasitology (433 citations), Public Health, Environmental and Occupational Health (1.7k citations), Genetics (337 citations), Genetics (845 citations) and Immunology (585 citations). David Modiano has collaborated with scholars based in Italy, Burkina Faso and United States. Frequent co-authors include Sodiomon B. Sirima, M. Cóluzzi, Federica Verra, Issa Nébié, Valentina Mangano, Vincenzo Petrarca, Gaia Luoni, Rosaria Scozzari, Phillip Colella and Daniel Graves. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, PLoS ONE, Transactions of the Royal Society of Tropical Medicine and Hygiene, Malaria Journal and The American Journal of Human Genetics.

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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