Aline Renata Pavan

27 total papers · 493 total citations
18 papers, 362 citations indexed

About

Aline Renata Pavan is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Aline Renata Pavan has authored 18 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Oncology. Recurrent topics in Aline Renata Pavan's work include Hemoglobinopathies and Related Disorders (6 papers), Peptidase Inhibition and Analysis (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). Aline Renata Pavan is often cited by papers focused on Hemoglobinopathies and Related Disorders (6 papers), Peptidase Inhibition and Analysis (5 papers) and Histone Deacetylase Inhibitors Research (5 papers). Aline Renata Pavan collaborates with scholars based in Brazil, United Kingdom and United States. Aline Renata Pavan's co-authors include Jean Leandro dos Santos, Guilherme Fernandes, Chung Man Chin, Diego Eidy Chiba, Daniela Hartmann Jornada, Fernando R. Pavan, Diana Gomes, Christiane Pienna Soares, Ângela Sousa and Priscila Longhin Bosquesi and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Communications and Molecules.

In The Last Decade

Aline Renata Pavan

16 papers receiving 357 citations

Author Peers

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

Author						Papers	Cites
Aline Renata Pavan	196	59	58	48	44	18	362
Elisa Helena Farias Jandrey	182 0.9×	27 0.5×	72 1.2×	17 0.4×	26 0.6×	17	386
Ly Quoc Trung	160 0.8×	99 1.7×	11 0.2×	70 1.5×	18 0.4×	15	400
Mina Yazdi	144 0.7×	56 0.9×	7 0.1×	50 1.0×	42 1.0×	14	380
Jeong-Hyun Yoon	92 0.5×	25 0.4×	24 0.4×	41 0.9×	10 0.2×	20	337
Saswati Bhattacharya	160 0.8×	105 1.8×	10 0.2×	43 0.9×	21 0.5×	17	356
Lin Li	210 1.1×	13 0.2×	32 0.6×	91 1.9×	8 0.2×	20	401
Giuseppe Nicotera	176 0.9×	52 0.9×	11 0.2×	33 0.7×	7 0.2×	13	350
Massimo Ghizzoni	281 1.4×	27 0.5×	68 1.2×	25 0.5×	5 0.1×	9	399
Grégory Gatouillat	107 0.5×	39 0.7×	11 0.2×	31 0.6×	10 0.2×	29	376
Lingdi Ma	241 1.2×	17 0.3×	13 0.2×	18 0.4×	9 0.2×	25	362

Countries citing papers authored by Aline Renata Pavan

Since Specialization

Citations

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

Fields of papers citing papers by Aline Renata Pavan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aline Renata Pavan. 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 Aline Renata Pavan. The network helps show where Aline Renata Pavan may publish in the future.

Co-authorship network of co-authors of Aline Renata Pavan

This figure shows the co-authorship network connecting the top 25 collaborators of Aline Renata Pavan. A scholar is included among the top collaborators of Aline Renata Pavan 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 Aline Renata Pavan. Aline Renata Pavan 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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