Hideyuki Nagakura

469 total citations
13 papers, 336 citations indexed

About

Hideyuki Nagakura is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Hideyuki Nagakura has authored 13 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 6 papers in Infectious Diseases and 4 papers in Surgery. Recurrent topics in Hideyuki Nagakura's work include Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). Hideyuki Nagakura is often cited by papers focused on Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). Hideyuki Nagakura collaborates with scholars based in Japan. Hideyuki Nagakura's co-authors include Takeshi Kaneko, Nobuyuki Horita, Masaki Yamamoto, Takashi Sato, Kenjiro Nagai, Kentaro Nakashima, Hiroki Watanabe, Ryota Ushio, Yuji Shibata and Ken Tashiro and has published in prestigious journals such as Scientific Reports, BMC Cancer and Tuberculosis.

In The Last Decade

Hideyuki Nagakura

13 papers receiving 332 citations

Peers

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

Countries citing papers authored by Hideyuki Nagakura

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Nagakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Nagakura

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

All Works

13 of 13 papers shown
1.
Nagakura, Hideyuki, Nobuaki Kobayashi, Keisuke Watanabe, et al.. (2022). Liquid biopsy for detecting epidermal growth factor receptor mutation among patients with non-small cell lung cancer treated with afatinib: a multicenter prospective study. BMC Cancer. 22(1). 1035–1035. 5 indexed citations
2.
Chen, Hao, Nobuyuki Horita, Kentaro Ito, et al.. (2020). Systematic review of first-line chemotherapy for chemo-naïve extensive-stage small-cell lung cancer: network meta-analysis. Therapeutic Advances in Medical Oncology. 12. 3863580881–3863580881. 7 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
8.
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
9.
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
10.
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
11.
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
12.
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
13.
Nagakura, Hideyuki, Masanori Nishikawa, Mari Saito, et al.. (2012). The Impact of a Negative History of Smoking on Survival in Patients with Non-Small Cell Lung Cancer Detected with Clinic-based Screening Programs. Internal Medicine. 51(22). 3115–3118. 3 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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