Massimo Paone

2.5k citations
31 papers · 1.6k indexed · h-index 19

Massimo Paone

30 papers receiving 1.5k citations

Peers

Massimo Paone
Comparison fields: 5 of 104
  • Parasitology 610
  • Epidemiology 1.3k
  • Public Health, Environmental and Occupational Health 876
  • Insect Science 344
  • Infectious Diseases 381
Replace José R. Franco with:
José R. Franco Switzerland
Joseph Mathu Ndung’u Switzerland
José A Ruiz-Postigo Switzerland
Daniel Argaw Switzerland
Fabrice Courtin Burkina Faso
Philippe Holzmüller France
Tazoacha Asonganyi Cameroon
Philippe Truc France
Isabel Maurício United Kingdom
Katrin Kuhls Germany
Massimo Paone relative to José R. Franco Switzerland José R. Franco's profile →
Citations per field
00.5×1.5×
José R. Franco · 1×
Citations per year

Countries citing papers authored by Massimo Paone

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Paone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202418
3 202287
4 202213
5 20216
6 202029
7 202024
8 201914
9 201895
10 201779
11 201570
12 201534
13 201439
14 201459
15 2012254
16 201138
17 2010289
18 200927
19 200953
20 19884

About Massimo Paone

Massimo Paone is a scholar working on Parasitology, Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Insect Science, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (27 papers), Parasites and Host Interactions (15 papers), Mosquito-borne diseases and control (12 papers), Parasitic Diseases Research and Treatment (11 papers), Insect symbiosis and bacterial influences (4 papers), Vector-borne infectious diseases (4 papers), Birth, Development, and Health (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Parasitology (610 citations), Epidemiology (1.3k citations), Public Health, Environmental and Occupational Health (876 citations), Insect Science (344 citations) and Infectious Diseases (381 citations). Massimo Paone has collaborated with scholars based in Italy, Switzerland and Republic of the Congo. Frequent co-authors include Giuliano Cecchi, José R. Franco, Abdoulaye Diarra, Pere P. Simarro, Raffaele Mattioli, J Jannin, Eric M. Fèvre, José A Ruiz-Postigo, Gérardo Priotto and Weining Zhao. Their work appears in journals such as PLoS neglected tropical diseases, Parasites & Vectors, International Journal of Health Geographics, Parasite and Acta Paediatrica.

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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