Yoichiro Natori

139 total papers · 1.8k total citations
53 papers, 795 citations indexed

About

Yoichiro Natori is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Yoichiro Natori has authored 53 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Epidemiology, 27 papers in Infectious Diseases and 13 papers in Surgery. Recurrent topics in Yoichiro Natori's work include COVID-19 Clinical Research Studies (12 papers), Cytomegalovirus and herpesvirus research (11 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Yoichiro Natori is often cited by papers focused on COVID-19 Clinical Research Studies (12 papers), Cytomegalovirus and herpesvirus research (11 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Yoichiro Natori collaborates with scholars based in United States, Canada and Japan. Yoichiro Natori's co-authors include Atul Humar, Deepali Kumar, Sang Hoon Han, Coleman Rotstein, L.G. Singer, Victor H. Ferreira, Hiroto Egawa, Mario Fernández‐Ruiz, Paolo Grossi and Oriol Manuel and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and The Journal of Infectious Diseases.

In The Last Decade

Yoichiro Natori

49 papers receiving 787 citations

Author Peers

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

Author Last Decade Papers Cites
Yoichiro Natori 455 276 163 135 133 53 795
Marta Nicolini Falcão do Monte 321 0.7× 171 0.6× 83 0.5× 94 0.7× 134 1.0× 44 749
Sabina Herrera 464 1.0× 204 0.7× 143 0.9× 105 0.8× 113 0.8× 68 947
Jacques Simkins 333 0.7× 330 1.2× 65 0.4× 53 0.4× 145 1.1× 52 735
Ricardo M. La Hoz 343 0.8× 429 1.6× 123 0.8× 58 0.4× 128 1.0× 57 803
Johannes Korth 579 1.3× 193 0.7× 116 0.7× 69 0.5× 38 0.3× 49 908
Cynthia E. Fisher 425 0.9× 551 2.0× 174 1.1× 59 0.4× 188 1.4× 38 909
Haim Ben‐Zvi 616 1.4× 313 1.1× 197 1.2× 67 0.5× 130 1.0× 57 1.1k
Eugene Katchman 603 1.3× 293 1.1× 48 0.3× 122 0.9× 60 0.5× 22 884
Rogier A.S. Hoek 346 0.8× 230 0.8× 87 0.5× 27 0.2× 212 1.6× 43 819
Maricar Malinis 430 0.9× 461 1.7× 107 0.7× 31 0.2× 171 1.3× 87 889

Countries citing papers authored by Yoichiro Natori

Since Specialization
Citations

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

Fields of papers citing papers by Yoichiro Natori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoichiro Natori

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