Yoshiko Kawabe

51 total papers · 1.1k total citations
37 papers, 878 citations indexed

About

Yoshiko Kawabe is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Yoshiko Kawabe has authored 37 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Infectious Diseases, 19 papers in Epidemiology and 17 papers in Surgery. Recurrent topics in Yoshiko Kawabe's work include Tuberculosis Research and Epidemiology (25 papers), Mycobacterium research and diagnosis (13 papers) and Diagnosis and treatment of tuberculosis (11 papers). Yoshiko Kawabe is often cited by papers focused on Tuberculosis Research and Epidemiology (25 papers), Mycobacterium research and diagnosis (13 papers) and Diagnosis and treatment of tuberculosis (11 papers). Yoshiko Kawabe collaborates with scholars based in Japan, United States and Singapore. Yoshiko Kawabe's co-authors include Satoshi Mitarai, Toru Mori, Nobuyuki Harada, Fumio Yamagishi, Tetsuya Takashima, Yuka Sasaki, Katsuhiro Suzuki, I Tsuyuguchi, Gerald H. Mazurek and Kazunari Tsuyuguchi and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Journal of Clinical Microbiology and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

In The Last Decade

Yoshiko Kawabe

36 papers receiving 846 citations

Hit Papers

Specific Detection of Tub... 2004 2026 2011 2018 2004 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Yoshiko Kawabe 734 645 472 107 50 37 878
U Greinert 577 0.8× 516 0.8× 368 0.8× 77 0.7× 43 0.9× 35 811
Phyllis Q. Edwards 470 0.6× 501 0.8× 135 0.3× 121 1.1× 24 0.5× 44 811
Maurizio Ferrarese 644 0.9× 538 0.8× 388 0.8× 48 0.4× 32 0.6× 42 773
J.C.M. Shastry 352 0.5× 348 0.5× 174 0.4× 80 0.7× 82 1.6× 64 963
Roland V. Cellona 745 1.0× 541 0.8× 360 0.8× 119 1.1× 57 1.1× 31 871
Fumio Yamagishi 776 1.1× 634 1.0× 527 1.1× 100 0.9× 66 1.3× 62 992
Naihui Chu 459 0.6× 365 0.6× 229 0.5× 120 1.1× 101 2.0× 52 731
J. L. Vildé 321 0.4× 553 0.9× 140 0.3× 130 1.2× 77 1.5× 40 1.0k
Bishwa R. Sapkota 479 0.7× 408 0.6× 247 0.5× 133 1.2× 190 3.8× 24 943
Mengqiu Gao 628 0.9× 440 0.7× 399 0.8× 50 0.5× 89 1.8× 66 803

Countries citing papers authored by Yoshiko Kawabe

Since Specialization
Citations

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

Fields of papers citing papers by Yoshiko Kawabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshiko Kawabe

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