Marcelo B. Lima

35 total papers · 547 total citations
20 papers, 444 citations indexed

About

Marcelo B. Lima is a scholar working on Analytical Chemistry, Biomedical Engineering and Bioengineering. According to data from OpenAlex, Marcelo B. Lima has authored 20 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Analytical Chemistry, 8 papers in Biomedical Engineering and 6 papers in Bioengineering. Recurrent topics in Marcelo B. Lima's work include Biosensors and Analytical Detection (6 papers), Analytical Chemistry and Sensors (6 papers) and Analytical chemistry methods development (5 papers). Marcelo B. Lima is often cited by papers focused on Biosensors and Analytical Detection (6 papers), Analytical Chemistry and Sensors (6 papers) and Analytical chemistry methods development (5 papers). Marcelo B. Lima collaborates with scholars based in Brazil and Argentina. Marcelo B. Lima's co-authors include Mário César Ugulino de Araújo, Stéfani Iury E. Andrade, Luciano F. Almeida, Marcelo F. Pistonesi, Beatriz S. Fernández Band, Francisco A.S. Cunha, Wellington da Silva Lyra, Matías Insausti, Claudia E. Domini and Sérgio Ricardo Bezerra dos Santos and has published in prestigious journals such as Tetrahedron Letters, Talanta and Microchemical Journal.

In The Last Decade

Marcelo B. Lima

20 papers receiving 426 citations

Author Peers

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

Author						Papers	Cites
Marcelo B. Lima	178	159	148	66	66	20	444
Abdelhafid Karrat	146 0.8×	175 1.1×	71 0.5×	99 1.5×	49 0.7×	20	372
Yu Luan	107 0.6×	205 1.3×	99 0.7×	78 1.2×	90 1.4×	14	367
Sadegh Karimi	139 0.8×	130 0.8×	118 0.8×	94 1.4×	45 0.7×	26	475
Kanchana Uraisin	243 1.4×	109 0.7×	70 0.5×	91 1.4×	71 1.1×	34	461
Süleyman Aşır	134 0.8×	117 0.7×	82 0.6×	95 1.4×	58 0.9×	35	472
Jingtian Hu	85 0.5×	174 1.1×	89 0.6×	68 1.0×	102 1.5×	21	446
M. V. Gorbunova	155 0.9×	140 0.9×	63 0.4×	107 1.6×	54 0.8×	28	396
Marta I.S. Verı́ssimo	170 1.0×	67 0.4×	122 0.8×	55 0.8×	27 0.4×	31	458
Masoud Shariati‐Rad	136 0.8×	148 0.9×	73 0.5×	78 1.2×	64 1.0×	53	438
Rafaela Silva Lamarca	231 1.3×	90 0.6×	60 0.4×	126 1.9×	38 0.6×	19	431

Countries citing papers authored by Marcelo B. Lima

Since Specialization

Citations

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

Fields of papers citing papers by Marcelo B. Lima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcelo B. Lima

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo B. Lima. A scholar is included among the top collaborators of Marcelo B. Lima 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 Marcelo B. Lima. Marcelo B. Lima 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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