Marcos Amador

20 total papers · 612 total citations
14 papers, 448 citations indexed

About

Marcos Amador is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Marcos Amador has authored 14 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Marcos Amador's work include Forensic and Genetic Research (4 papers), Genetic Associations and Epidemiology (3 papers) and Genetic diversity and population structure (2 papers). Marcos Amador is often cited by papers focused on Forensic and Genetic Research (4 papers), Genetic Associations and Epidemiology (3 papers) and Genetic diversity and population structure (2 papers). Marcos Amador collaborates with scholars based in Brazil, United States and Argentina. Marcos Amador's co-authors include Richard A. Anderson, Paul L. Reiter, Gary G. Clark, Sidney Emanuel Batista dos Santos, Ney Pereira Carneiro dos Santos, Erick C. Castelli, Márcia Guimarães da Silva, Bruna Ribeiro de Andrade Ramos, Steven S. Witkin and Ândrea Ribeiro‐dos‐Santos and has published in prestigious journals such as American Journal of Tropical Medicine and Hygiene, BMC Evolutionary Biology and BMC Pregnancy and Childbirth.

In The Last Decade

Marcos Amador

14 papers receiving 433 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marcos Amador	269	94	73	68	60	14	448
Rasmus Henningsson	282 1.0×	124 1.3×	48 0.7×	82 1.2×	159 2.6×	9	489
Gaddiel Galarza-Muñoz	259 1.0×	137 1.5×	20 0.3×	33 0.5×	216 3.6×	8	513
Himani Kukreti	129 0.5×	239 2.5×	13 0.2×	32 0.5×	130 2.2×	11	510
Patrícia R. Araújo	98 0.4×	262 2.8×	20 0.3×	47 0.7×	35 0.6×	24	517
Jennifer L. Rabe	147 0.5×	203 2.2×	76 1.0×	18 0.3×	126 2.1×	12	437
José R. Rovira	304 1.1×	30 0.3×	46 0.6×	22 0.3×	109 1.8×	12	466
Mehrdad Pedram	149 0.6×	272 2.9×	106 1.5×	66 1.0×	33 0.6×	17	517
Kin Fai Tang	279 1.0×	67 0.7×	9 0.1×	21 0.3×	261 4.3×	11	509
Juan F. Arias	153 0.6×	90 1.0×	26 0.4×	20 0.3×	187 3.1×	12	533
Tamar Grossman	125 0.5×	227 2.4×	18 0.2×	16 0.2×	42 0.7×	21	471

Countries citing papers authored by Marcos Amador

Since Specialization

Citations

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

Fields of papers citing papers by Marcos Amador

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcos Amador

This figure shows the co-authorship network connecting the top 25 collaborators of Marcos Amador. A scholar is included among the top collaborators of Marcos Amador based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marcos Amador. Marcos Amador is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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