Marcelo Larami Santoro

2.6k citations
75 papers · 1.9k indexed · h-index 28

Marcelo Larami Santoro

70 papers receiving 1.9k citations

Peers

Marcelo Larami Santoro
Comparison fields: 5 of 87
  • Virology 820
  • Paleontology 426
  • Genetics 1.6k
  • Pharmacology 342
  • Insect Science 177
Replace Gavin D. Laing with:
Gavin D. Laing United Kingdom
Ida S. Sano‐Martins Brazil
Alejandro Alagón Mexico
Adolfo Rafael de Roodt Argentina
Kátia Cristina Barbaro Brazil
Teresa Escalante Costa Rica
Davinia Plá Spain
Ana M. Moura‐da‐Silva Brazil
Anita Mitico Tanaka-Azevedo Brazil
Mariángela Vargas Costa Rica
Marcelo Larami Santoro relative to Gavin D. Laing United Kingdom Gavin D. Laing's profile →
Citations per field
00.5×1.5×2.0×
Gavin D. Laing · 1×
Citations per year

Countries citing papers authored by Marcelo Larami Santoro

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Larami Santoro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo Larami Santoro. 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 Marcelo Larami Santoro. The network helps show where Marcelo Larami Santoro may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20234
3 20235
4 202110
5 201911
6 201341
7 20139
8 20107
9 201099
10 201031
11 200943
12 200934
13 200875
14 200859
15 200816
16 20084
17 200733
18 200627
19
Eletroforese das proteínas urinárias de cães normais e cães com doença renal em gel de sódio-dodecil-sulfato poliacrilamida (SDS-PAGE)
20013
20 199412

About Marcelo Larami Santoro

Marcelo Larami Santoro is a scholar working on Virology, Genetics, Paleontology, Parasitology and Immunology and Allergy, having authored 75 papers that have together received 1.9k indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (57 papers), Rabies epidemiology and control (30 papers), Marine Invertebrate Physiology and Ecology (12 papers), Healthcare and Venom Research (10 papers), Amphibian and Reptile Biology (5 papers), Entomological Studies and Ecology (5 papers), Ion channel regulation and function (5 papers) and Research on Leishmaniasis Studies (4 papers). The work is most often cited by research in Virology (820 citations), Paleontology (426 citations), Genetics (1.6k citations), Pharmacology (342 citations) and Insect Science (177 citations). Marcelo Larami Santoro has collaborated with scholars based in Brazil, Argentina and United Kingdom. Frequent co-authors include Ida S. Sano‐Martins, Kátia Cristina Barbaro, João Luiz Costa Cardoso, Fan Hui Wen, María Elisa Peichoto, R.D.G. Theakston, David A. Warrell, M. Saiki, Stephen P. Mackessy and Luís Roberto C. Gonçalves. Their work appears in journals such as Toxicon, PLoS neglected tropical diseases, Experimental Biology and Medicine, Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology and Human & Experimental Toxicology.

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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