Clara FT Yoshida

15 total papers · 642 total citations
15 papers, 509 citations indexed

About

Clara FT Yoshida is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Clara FT Yoshida has authored 15 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hepatology, 11 papers in Epidemiology and 6 papers in Infectious Diseases. Recurrent topics in Clara FT Yoshida's work include Hepatitis B Virus Studies (11 papers), Hepatitis C virus research (11 papers) and Hepatitis Viruses Studies and Epidemiology (6 papers). Clara FT Yoshida is often cited by papers focused on Hepatitis B Virus Studies (11 papers), Hepatitis C virus research (11 papers) and Hepatitis Viruses Studies and Epidemiology (6 papers). Clara FT Yoshida collaborates with scholars based in Brazil, United States and Belgium. Clara FT Yoshida's co-authors include Regina MB Martins, Sheila Araújo Teles, Simonne A Silva, Megmar Aparecida dos Santos Carneiro, Elba Regina Sampaio de Lemos, Bart Vanderborght, Vanessa Salete de Paula, Karen Soares Trinta, Raquel Conceição Ferreira and Selma A. Gomes and has published in prestigious journals such as BMC Public Health, Memórias do Instituto Oswaldo Cruz and Revista de Saúde Pública.

In The Last Decade

Clara FT Yoshida

15 papers receiving 471 citations

Author Peers

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

Author Last Decade Papers Cites
Clara FT Yoshida 446 364 174 19 16 15 509
Regina MB Martins 427 1.0× 442 1.2× 101 0.6× 19 1.0× 19 1.2× 17 494
Nicole Simon 440 1.0× 406 1.1× 106 0.6× 28 1.5× 19 1.2× 12 577
I. K. Kuramoto 448 1.0× 325 0.9× 171 1.0× 6 0.3× 20 1.3× 20 526
Iwao Ariyama 273 0.6× 278 0.8× 66 0.4× 25 1.3× 21 1.3× 21 458
Antigoni Katsoulidou 369 0.8× 379 1.0× 198 1.1× 11 0.6× 91 5.7× 21 543
David A. Hendricks 252 0.6× 415 1.1× 127 0.7× 11 0.6× 15 0.9× 16 486
L. A. Smallwood 375 0.8× 407 1.1× 75 0.4× 3 0.2× 12 0.8× 11 479
Joëlle Lerable 299 0.7× 316 0.9× 164 0.9× 4 0.2× 114 7.1× 14 474
María Luisa Mateos 368 0.8× 271 0.7× 190 1.1× 9 0.5× 37 2.3× 19 478
Laura Loiacono 326 0.7× 317 0.9× 76 0.4× 5 0.3× 30 1.9× 18 446

Countries citing papers authored by Clara FT Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Clara FT Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clara FT Yoshida. 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 Clara FT Yoshida. The network helps show where Clara FT Yoshida may publish in the future.

Co-authorship network of co-authors of Clara FT Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Clara FT Yoshida. A scholar is included among the top collaborators of Clara FT Yoshida 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 Clara FT Yoshida. Clara FT Yoshida 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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2026