Ken Tashiro

438 total citations
11 papers, 320 citations indexed

About

Ken Tashiro is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Ken Tashiro has authored 11 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 5 papers in Infectious Diseases and 4 papers in Surgery. Recurrent topics in Ken Tashiro's work include Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (4 papers) and Cancer therapeutics and mechanisms (2 papers). Ken Tashiro is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (4 papers) and Cancer therapeutics and mechanisms (2 papers). Ken Tashiro collaborates with scholars based in Japan. Ken Tashiro's co-authors include Takashi Sato, Kentaro Nakashima, Takeshi Kaneko, Ryota Ushio, Yuji Shibata, Kenjiro Nagai, Hideyuki Nagakura, Nobuyuki Horita, Masaki Yamamoto and Hiroki Watanabe and has published in prestigious journals such as Scientific Reports, International Journal of Infectious Diseases and Tuberculosis.

In The Last Decade

Ken Tashiro

11 papers receiving 318 citations

Peers

Ken Tashiro
Ken Tashiro
Citations per year, relative to Ken Tashiro Ken Tashiro (= 1×) peers Hideyuki Nagakura

Countries citing papers authored by Ken Tashiro

Since Specialization
Citations

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

Fields of papers citing papers by Ken Tashiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Tashiro

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Tashiro. A scholar is included among the top collaborators of Ken Tashiro 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 Ken Tashiro. Ken Tashiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Yamamoto, Masaki, Ken Tashiro, Yu Hara, et al.. (2023). Predictors of lung injury during durvalumab maintenance therapy following concurrent chemoradiotherapy in unresectable locally advanced non‐small cell lung carcinoma. Thoracic Cancer. 14(25). 2601–2607. 2 indexed citations
2.
Tashiro, Ken, Masaki Yamamoto, Ryota Ushio, et al.. (2019). Hepcidin exerts a negative immunological effect in pulmonary tuberculosis without HIV co-infection, prolonging the time to culture-negative. International Journal of Infectious Diseases. 86. 47–54. 5 indexed citations
3.
Horita, Nobuyuki, Ken Tashiro, Kenjiro Nagai, et al.. (2018). The Platelet Count Can Predict In-hospital Death in HIV-negative Smear-positive Pulmonary Tuberculosis Inpatients. Internal Medicine. 57(10). 1391–1397. 9 indexed citations
4.
Tashiro, Ken, Nobuyuki Horita, Kenjiro Nagai, et al.. (2017). HbA1c level cannot predict the treatment outcome of smear-positive non-multi-drug-resistant HIV-negative pulmonary tuberculosis inpatients. Scientific Reports. 7(1). 46488–46488. 1 indexed citations
5.
Tsukahara, Toshinori, Nobuyuki Horita, Ken Tashiro, et al.. (2017). Factors for Predicting Outcomes among Non-HIV Patients with Pulmonary Tuberculosis. Internal Medicine. 56(24). 3277–3282. 6 indexed citations
6.
Horita, Nobuyuki, Masaki Yamamoto, Takashi Sato, et al.. (2016). Amrubicin for relapsed small-cell lung cancer: a systematic review and meta-analysis of 803 patients. Scientific Reports. 6(1). 18999–18999. 30 indexed citations
7.
Shibata, Yuji, Nobuyuki Horita, Masaki Yamamoto, et al.. (2016). Diagnostic test accuracy of anti-glycopeptidolipid-core IgA antibodies for Mycobacterium avium complex pulmonary disease: systematic review and meta-analysis. Scientific Reports. 6(1). 29325–29325. 40 indexed citations
8.
Ushio, Ryota, Masaki Yamamoto, Kentaro Nakashima, et al.. (2016). Digital PCR assay detection of circulating Mycobacterium tuberculosis DNA in pulmonary tuberculosis patient plasma. Tuberculosis. 99. 47–53. 57 indexed citations
9.
Nagai, Kenjiro, Nobuyuki Horita, Masaki Yamamoto, et al.. (2016). Diagnostic test accuracy of loop-mediated isothermal amplification assay for Mycobacterium tuberculosis: systematic review and meta-analysis. Scientific Reports. 6(1). 39090–39090. 76 indexed citations
10.
Horita, Nobuyuki, Masaki Yamamoto, Takashi Sato, et al.. (2015). Topotecan for Relapsed Small-cell Lung Cancer: Systematic Review and Meta-Analysis of 1347 Patients. Scientific Reports. 5(1). 15437–15437. 73 indexed citations
11.
Horita, Nobuyuki, Masaki Yamamoto, Takashi Sato, et al.. (2015). Sensitivity and specificity of Cobas TaqMan MTB real-time polymerase chain reaction for culture-proven Mycobacterium tuberculosis: meta-analysis of 26999 specimens from 17 Studies. Scientific Reports. 5(1). 18113–18113. 21 indexed citations

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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