Roberto A. Macina

1.5k citations
27 papers · 1.2k · h-index 18

Impact in

Papers in

    • Molecular Biology Techniques and Applications 4
    • RNA and protein synthesis mechanisms 4
    • Genomics and Chromatin Dynamics 4
    • CRISPR and Genetic Engineering 4
    • Trypanosoma species research and implications 9

Roberto A. Macina

27 papers receiving 1.2k citations

Peers

Roberto A. Macina
Comparison fields: 5 of 80
  • Parasitology 98
  • Epidemiology 450
  • Immunology 256
  • Public Health, Environmental and Occupational Health 261
  • Molecular Biology 508
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Citations per field
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Citations per year

Countries citing papers authored by Roberto A. Macina

Since Specialization
Citations

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

Fields of papers citing papers by Roberto A. Macina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto A. Macina. 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 Roberto A. Macina. The network helps show where Roberto A. Macina may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005177
2 1989157
3 1988131
4 2008129
5 199597
6 199068
7 199455
8 199551
9 199545
10 198643
11 199533
12 200032
13 198724
14 199523
15 200021
16 198520
17 199517
18 199217
19 198915
20 199412

About Roberto A. Macina

Roberto A. Macina is a scholar working on Molecular Biology, Epidemiology, Plant Science, Public Health, Environmental and Occupational Health and Genetics, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (9 papers), Chromosomal and Genetic Variations (6 papers), Molecular Biology Techniques and Applications (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (4 papers), Research on Leishmaniasis Studies (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Parasitology (98 citations), Epidemiology (450 citations), Immunology (256 citations), Public Health, Environmental and Occupational Health (261 citations) and Molecular Biology (508 citations). Roberto A. Macina has collaborated with scholars based in United States, Argentina and Brazil. Frequent co-authors include Alberto C.C. Frasch, Lena Åslund, Wenhui Liu, Jackie Papkoff, Carlos Ibáñez, Maria B. Reyes, Ulf Pettersson, Harold Riethman, Clinton T. Baldwin and Christopher F. Hoth. Their work appears in journals such as Molecular and Biochemical Parasitology, Molecular Diagnosis, Genomics, Human Molecular Genetics and Cancer Research.

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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