Hisatoshi Asano

1.7k total citations
25 papers, 364 citations indexed

About

Hisatoshi Asano is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Epidemiology. According to data from OpenAlex, Hisatoshi Asano has authored 25 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 11 papers in Surgery and 8 papers in Epidemiology. Recurrent topics in Hisatoshi Asano's work include Lung Cancer Diagnosis and Treatment (9 papers), Myasthenia Gravis and Thymoma (6 papers) and Meningioma and schwannoma management (5 papers). Hisatoshi Asano is often cited by papers focused on Lung Cancer Diagnosis and Treatment (9 papers), Myasthenia Gravis and Thymoma (6 papers) and Meningioma and schwannoma management (5 papers). Hisatoshi Asano collaborates with scholars based in Japan. Hisatoshi Asano's co-authors include Makoto Odaka, Toshiaki Morikawa, Makoto Yamashita, Shohei Mori, Takeo Nakada, Noriki Kamiya, Tadashi Akiba, Daiki Kato, Mitsuyoshi Urashima and Hideki Matsudaira and has published in prestigious journals such as Clinical Cancer Research, The Annals of Thoracic Surgery and Leukemia.

In The Last Decade

Hisatoshi Asano

24 papers receiving 355 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hisatoshi Asano Japan 12 138 89 74 73 71 25 364
Krzysztof Ziaja Poland 11 113 0.8× 199 2.2× 55 0.7× 33 0.5× 29 0.4× 57 432
Aytaç Öncül Türkiye 12 114 0.8× 106 1.2× 68 0.9× 10 0.1× 59 0.8× 29 541
Hyoung Soo Choi South Korea 13 58 0.4× 65 0.7× 36 0.5× 38 0.5× 33 0.5× 42 418
Arzu Okur Türkiye 12 54 0.4× 36 0.4× 27 0.4× 54 0.7× 66 0.9× 38 286
C. Cazalets France 14 161 1.2× 120 1.3× 119 1.6× 29 0.4× 17 0.2× 38 445
Alper Özel Türkiye 11 64 0.5× 165 1.9× 23 0.3× 59 0.8× 31 0.4× 32 368
Andrea Katharina Lindner Austria 11 86 0.6× 141 1.6× 29 0.4× 19 0.3× 62 0.9× 28 317
Katarzyna Urbańczyk Poland 9 175 1.3× 162 1.8× 42 0.6× 24 0.3× 43 0.6× 29 343
William S. Haubrich United States 11 94 0.7× 221 2.5× 59 0.8× 40 0.5× 58 0.8× 95 408
Giulia Fontanelli Italy 10 165 1.2× 73 0.8× 65 0.9× 19 0.3× 42 0.6× 21 409

Countries citing papers authored by Hisatoshi Asano

Since Specialization
Citations

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

Fields of papers citing papers by Hisatoshi Asano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hisatoshi Asano

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

All Works

20 of 20 papers shown
1.
Igarashi, Takao, et al.. (2021). Quantitative Histogram Analysis of T2-Weighted and Diffusion-Weighted Magnetic Resonance Images for Prediction of Malignant Thymic Epithelial Tumors. Journal of Computer Assisted Tomography. 45(5). 795–801. 2 indexed citations
2.
Nakada, Takeo, et al.. (2020). Simultaneous Two-Dimensional and Three-Dimensional Simulation of Thoracoscopic Sleeve Lobectomy: A Quick Understanding of Pitfalls. The Annals of Thoracic Surgery. 109(5). e383–e385. 1 indexed citations
3.
Mori, Shohei, Daiki Kato, Takeo Nakada, et al.. (2019). Recovery of pulmonary function after lung wedge resection. Journal of Thoracic Disease. 11(9). 3738–3745. 12 indexed citations
4.
Asano, Hisatoshi, et al.. (2019). Risk factors for recurrence of primary spontaneous pneumothorax after thoracoscopic surgery. Journal of Thoracic Disease. 11(5). 1940–1944. 15 indexed citations
5.
Nakada, Takeo, Daiki Kato, Shohei Mori, et al.. (2019). Risk factors and cancer recurrence associated with postoperative complications after thoracoscopic lobectomy for clinical stage I non‐small cell lung cancer. Thoracic Cancer. 10(10). 1945–1952. 22 indexed citations
6.
Akiba, Tadashi, Toshiaki Morikawa, Makoto Odaka, et al.. (2018). Vitamin D Supplementation and Survival of Patients with Non–small Cell Lung Cancer: A Randomized, Double-Blind, Placebo-Controlled Trial. Clinical Cancer Research. 24(17). 4089–4097. 81 indexed citations
7.
Odaka, Makoto, Daiki Kato, Shohei Mori, et al.. (2018). Impact of the introduction of thoracoscopic lobectomy for non-small cell lung cancer: a propensity score-matched analysis. Journal of Thoracic Disease. 10(8). 4985–4993. 1 indexed citations
8.
9.
Mori, Shohei, Hisatoshi Asano, Hideki Matsudaira, et al.. (2018). Perioperative outcomes of thoracoscopic lung resection requiring a long operative time. Interactive Cardiovascular and Thoracic Surgery. 28(3). 380–386. 6 indexed citations
10.
Morikawa, Toshiaki, Makoto Yamashita, Makoto Odaka, et al.. (2017). A step-by-step development of real-size chest model for simulation of thoracoscopic surgery. Interactive Cardiovascular and Thoracic Surgery. 25(2). 173–176. 13 indexed citations
11.
Odaka, Makoto, et al.. (2017). Surgical and oncological outcomes of thoracoscopic thymectomy for thymoma. Journal of Visualized Surgery. 3. 54–54. 15 indexed citations
12.
Odaka, Makoto, et al.. (2017). Thoracoscopic thymectomy is a feasible and less invasive alternative for the surgical treatment of large thymomas. Interactive Cardiovascular and Thoracic Surgery. 25(1). 103–108. 19 indexed citations
13.
Odaka, Makoto, et al.. (2016). Comparison of oncological results for early- and advanced-stage thymomas: thoracoscopic thymectomy versus open thymectomy. Surgical Endoscopy. 31(2). 734–742. 11 indexed citations
14.
Takahashi, Masaya, Yoshikazu Matsuoka, Ryusuke Nakatsuka, et al.. (2013). CD133 is a positive marker for a distinct class of primitive human cord blood-derived CD34-negative hematopoietic stem cells. Leukemia. 28(6). 1308–1315. 51 indexed citations
15.
Odaka, Makoto, et al.. (2013). Oncological outcomes of thoracoscopic thymectomy for the treatment of stages I–III thymomas. Interactive Cardiovascular and Thoracic Surgery. 17(2). 285–290. 13 indexed citations
16.
Mori, Shohei, Makoto Odaka, Hisatoshi Asano, et al.. (2013). Anomalous Systemic Arterial Supply to the Basal Segments of the Lung: Feasible Thoracoscopic Surgery. The Annals of Thoracic Surgery. 96(3). 990–994. 10 indexed citations
17.
Odaka, Makoto, et al.. (2012). Thoracoscopic resection for a pulmonary nodule with the infiltrate of IgG4‐positive plasma cells. Asian Journal of Endoscopic Surgery. 5(4). 176–178. 5 indexed citations
18.
Odaka, Makoto, Takeo Nakada, Hisatoshi Asano, et al.. (2011). Thoracoscopic resection of a mediastinal venous hemangioma: Report of a case. Surgery Today. 41(10). 1455–1457. 5 indexed citations
19.
Toyooka, Shinichi, Katsuyuki Kiura, Hisatoshi Asano, et al.. (2005). PD-160 The relationship between epidermal growth factor receptor (EGFR) mutations and clinicopathologic features in non-small cell lung cancers. Lung Cancer. 49. S113–S113. 31 indexed citations
20.
Asano, Hisatoshi, et al.. (1994). Growth of Japanese breast-fed and bottle-fed infants from birth to 20 months. Annals of Human Biology. 21(6). 597–608. 28 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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