Rita Melo

47 papers receiving 969 citations

Peers

Rita Melo
Comparison fields: 5 of 123
  • Parasitology 211
  • Biochemistry 62
  • Environmental Chemistry 100
  • Infectious Diseases 139
  • Biotechnology 47
Replace Hideo Fukuda with:
Hideo Fukuda Japan
J.W. Anderson United States
H Lee Canada
Juan Yu China
Andrea Carpentieri Italy
Shuai Peng China
Bertil Pettersson Sweden
Helen Denton United Kingdom
Kareem Morsy Saudi Arabia
Rita Melo relative to Hideo Fukuda Japan Hideo Fukuda's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rita Melo

Since Specialization
Citations

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

Fields of papers citing papers by Rita Melo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994110
2 201482
3 201762
4 201652
5 202051
6
Toxoplasma infection after human allogeneic bone marrow transplantation: clinical and serological study of 80 patients.
198651
7 201642
8 201539
9 201338
10 201637
11 201336
12 200734
13 200833
14 201831
15 199430
16 200923
17 201621
18 202016
19 201816
20 201714

About Rita Melo

Rita Melo is a scholar working on Molecular Biology, Water Science and Technology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Food Science, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced oxidation water treatment (8 papers), Receptor Mechanisms and Signaling (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Radiation Effects and Dosimetry (6 papers), Neuropeptides and Animal Physiology (5 papers), Computational Drug Discovery Methods (4 papers), Vector-borne infectious diseases (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Parasitology (211 citations), Biochemistry (62 citations), Environmental Chemistry (100 citations), Infectious Diseases (139 citations) and Biotechnology (47 citations). Rita Melo has collaborated with scholars based in Portugal, United States and Netherlands. Frequent co-authors include Paul D. N. Hebert, Sandra Cabo Verde, Irina S. Moreira, Maria Gomes‐Solecki, Luciana Richer, António J. Preto, M. Luísa Botelho, Joana Madureira, F.M.A. Margaça and João D. G. Correia. Their work appears in journals such as International Journal of Molecular Sciences, Water Science & Technology, Chemosphere, Infection and Immunity and Chemical Engineering Journal.

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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