Selma A. Gomes

79 total papers · 2.1k total citations
66 papers, 1.7k citations indexed

About

Selma A. Gomes is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Selma A. Gomes has authored 66 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Epidemiology, 42 papers in Hepatology and 31 papers in Infectious Diseases. Recurrent topics in Selma A. Gomes's work include Hepatitis B Virus Studies (49 papers), Hepatitis C virus research (41 papers) and Viral gastroenteritis research and epidemiology (18 papers). Selma A. Gomes is often cited by papers focused on Hepatitis B Virus Studies (49 papers), Hepatitis C virus research (41 papers) and Viral gastroenteritis research and epidemiology (18 papers). Selma A. Gomes collaborates with scholars based in Brazil, France and Argentina. Selma A. Gomes's co-authors include Christian Niel, Clara Fumiko Tachibana Yoshida, Francisco Campello do Amaral Mello, Natalia M. Araújo, Bárbara V. Lago, Ana Rita Coimbra Motta-Castro, Sheila Araújo Teles, Márcia Terezinha Baroni de Moraes, Regina Maria Bringel Martins and Regina MB Martins and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Selma A. Gomes

66 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Selma A. Gomes 1.3k 1.1k 487 221 174 66 1.7k
Olfa Bahri 790 0.6× 404 0.4× 711 1.5× 155 0.7× 87 0.5× 65 1.4k
Lilly Yuen 1.7k 1.3× 1.2k 1.1× 686 1.4× 114 0.5× 242 1.4× 71 2.4k
Alan Kay 1.5k 1.2× 1.2k 1.1× 348 0.7× 169 0.8× 144 0.8× 51 1.8k
Carla Osiowy 1.5k 1.2× 1.3k 1.2× 600 1.2× 114 0.5× 82 0.5× 95 2.0k
Akihisa Takamizawa 1.0k 0.8× 1.0k 0.9× 379 0.8× 169 0.8× 102 0.6× 43 1.9k
Gilberto Vaughan 782 0.6× 966 0.9× 857 1.8× 102 0.5× 75 0.4× 63 1.8k
Tatsunori Nakano 1.1k 0.9× 1.4k 1.3× 537 1.1× 188 0.9× 57 0.3× 63 1.8k
Christian Niel 807 0.6× 772 0.7× 807 1.7× 687 3.1× 353 2.0× 76 1.8k
Heinz‐Hubert Feucht 970 0.8× 969 0.9× 539 1.1× 109 0.5× 75 0.4× 38 1.5k
Roger Ling 969 0.8× 950 0.9× 937 1.9× 143 0.6× 38 0.2× 34 1.6k

Countries citing papers authored by Selma A. Gomes

Since Specialization
Citations

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

Fields of papers citing papers by Selma A. Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Selma A. Gomes. 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 Selma A. Gomes. The network helps show where Selma A. Gomes may publish in the future.

Co-authorship network of co-authors of Selma A. Gomes

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