M M Flawiá

27 total papers · 628 total citations
22 papers, 546 citations indexed

About

M M Flawiá is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, M M Flawiá has authored 22 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Cell Biology. Recurrent topics in M M Flawiá's work include Trypanosoma species research and implications (8 papers), Biochemical and Molecular Research (4 papers) and Hemoglobin structure and function (3 papers). M M Flawiá is often cited by papers focused on Trypanosoma species research and implications (8 papers), Biochemical and Molecular Research (4 papers) and Hemoglobin structure and function (3 papers). M M Flawiá collaborates with scholars based in Argentina, United States and Denmark. M M Flawiá's co-authors include Héctor N. Torres, Marı́a Teresa Téllez-Iñón, Hernán Terenzi, Jorge Muschietti, Diego Fraidenraich, Francisco E. Baralle, Omar A. Coso, Juan A. Reig, Marcelo Rubinstein and F. J. E. Stefano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

M M Flawiá

22 papers receiving 523 citations

Author Peers

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

Author						Papers	Cites
M M Flawiá	331	178	124	113	81	22	546
John G. Mina	412 1.2×	157 0.9×	52 0.4×	129 1.1×	59 0.7×	23	585
Ryoko Tatsumi	222 0.7×	53 0.3×	45 0.4×	34 0.3×	56 0.7×	12	557
Susanna Kushnir	433 1.3×	77 0.4×	43 0.3×	80 0.7×	163 2.0×	19	619
Yu‐Tzu Shih	169 0.5×	44 0.2×	27 0.2×	77 0.7×	59 0.7×	16	488
Anne‐Claire Jacomin	312 0.9×	273 1.5×	68 0.5×	39 0.3×	128 1.6×	25	547
Eva Doleželová	158 0.5×	97 0.5×	74 0.6×	56 0.5×	17 0.2×	18	450
Mariko Umemura	314 0.9×	137 0.8×	77 0.6×	11 0.1×	194 2.4×	25	572
Claudia Colina	250 0.8×	154 0.9×	18 0.1×	119 1.1×	40 0.5×	14	470
Long He	180 0.5×	96 0.5×	48 0.4×	23 0.2×	29 0.4×	19	534
A. de la Fuente	280 0.8×	33 0.2×	57 0.5×	27 0.2×	21 0.3×	27	602

Countries citing papers authored by M M Flawiá

Since Specialization

Citations

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

Fields of papers citing papers by M M Flawiá

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M M Flawiá

This figure shows the co-authorship network connecting the top 25 collaborators of M M Flawiá. A scholar is included among the top collaborators of M M Flawiá 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 M M Flawiá. M M Flawiá 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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