Paula Proença

33 papers receiving 674 citations

Peers

Paula Proença
Comparison fields: 5 of 86
  • Toxicology 178
  • Parasitology 123
  • Insect Science 111
  • Pharmacology 122
  • Infectious Diseases 119
Replace Jin Suzuki with:
Jin Suzuki Japan
R. Marsboom Belgium
Regula Theurillat Switzerland
Nicolás Fernández Argentina
Wasantha P. Dissanayake Sri Lanka
Natascia Bruni Italy
Hellmut Mahler Germany
J.D. Harkins United States
Grace Adira Murilla Kenya
Sooraj Baijnath South Africa
Paula Proença relative to Jin Suzuki Japan Jin Suzuki's profile →
Citations per field
00.5×2×3.5×
Jin Suzuki · 1×
Citations per year

Countries citing papers authored by Paula Proença

Since Specialization
Citations

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

Fields of papers citing papers by Paula Proença

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005104
2 200781
3 200879
4 200455
5 200553
6 200540
7 200036
8 200723
9 200423
10 200420
11 201119
12 201017
13 200417
14 200415
15 201215
16 201315
17
[Toscana virus in the Portuguese population: serosurvey and clinical cases].
201113
18 202013
19 201613
20 201413

About Paula Proença

Paula Proença is a scholar working on Toxicology, Emergency Medicine, Infectious Diseases, Psychiatry and Mental health and Parasitology, having authored 33 papers that have together received 722 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (10 papers), Poisoning and overdose treatments (6 papers), Alcohol Consumption and Health Effects (4 papers), Cannabis and Cannabinoid Research (3 papers), Viral Infections and Vectors (3 papers), Advanced Chemical Sensor Technologies (3 papers), HIV/AIDS drug development and treatment (3 papers) and Epilepsy research and treatment (3 papers). The work is most often cited by research in Toxicology (178 citations), Parasitology (123 citations), Insect Science (111 citations), Pharmacology (122 citations) and Infectious Diseases (119 citations). Paula Proença has collaborated with scholars based in Portugal, Belgium and Spain. Frequent co-authors include Duarte Nuno Vieira, Helena M. Teixeira, Estela P. Marques, Paula V. Monsanto, Alain Verstraete, João Pinheiro, João Miguel Franco, Rita de Sousa, Fátima Cristina Trindade Bacellar and Nahed Ismail. Their work appears in journals such as Forensic Science International, Journal of Analytical Toxicology, Journal of Forensic and Legal Medicine, Pathogens and Eurosurveillance.

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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