Gonçalo Graça

60 total papers · 1.3k total citations
41 papers, 963 citations indexed

About

Gonçalo Graça is a scholar working on Molecular Biology, Complementary and alternative medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Gonçalo Graça has authored 41 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 6 papers in Complementary and alternative medicine and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Gonçalo Graça's work include Metabolomics and Mass Spectrometry Studies (28 papers), Nutritional Studies and Diet (5 papers) and Traditional Chinese Medicine Studies (4 papers). Gonçalo Graça is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (28 papers), Nutritional Studies and Diet (5 papers) and Traditional Chinese Medicine Studies (4 papers). Gonçalo Graça collaborates with scholars based in Portugal, United Kingdom and United States. Gonçalo Graça's co-authors include Ana M. Gil, António S. Barros, Brian J. Goodfellow, Isabel M. Carreira, Iola F. Duarte, Eulália Galhano, Sílvia O. Diaz, Cristina Pita, Joana Pinto and Ana Varela Coelho and has published in prestigious journals such as Circulation, Bioinformatics and Analytical Chemistry.

In The Last Decade

Gonçalo Graça

38 papers receiving 946 citations

Author Peers

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

Author						Papers	Cites
Gonçalo Graça	467	251	200	125	112	41	963
Danuta Dudzik	661 1.4×	123 0.5×	137 0.7×	101 0.8×	37 0.3×	38	1.1k
Samuel Furse	408 0.9×	192 0.8×	135 0.7×	180 1.4×	24 0.2×	58	903
H.G. Britton	241 0.5×	201 0.8×	68 0.3×	111 0.9×	71 0.6×	64	891
William D. Rees	478 1.0×	155 0.6×	66 0.3×	168 1.3×	24 0.2×	53	1.2k
Hongbo Weng	334 0.7×	72 0.3×	87 0.4×	79 0.6×	47 0.4×	30	827
Federica Murgia	343 0.7×	204 0.8×	99 0.5×	87 0.7×	83 0.7×	43	907
Tatiana El‐Bacha	499 1.1×	105 0.4×	80 0.4×	111 0.9×	24 0.2×	35	1.1k
Karolina Sulek	448 1.0×	133 0.5×	134 0.7×	146 1.2×	17 0.2×	42	944
R. Abraham	306 0.7×	133 0.5×	37 0.2×	138 1.1×	40 0.4×	54	1.1k
Federico Martı́nez	596 1.3×	216 0.9×	219 1.1×	130 1.0×	118 1.1×	57	1.2k

Countries citing papers authored by Gonçalo Graça

Since Specialization

Citations

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

Fields of papers citing papers by Gonçalo Graça

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gonçalo Graça

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