Goshi Nishimura

81 papers receiving 1.4k citations

Peers

Goshi Nishimura
Comparison fields: 5 of 97
  • Otorhinolaryngology 463
  • Oncology 297
  • Cancer Research 116
  • Toxicology 22
  • Pharmacology 96
Replace Yen‐Yun Wang with:
Yen‐Yun Wang Taiwan
Shang‐Lun Chiang Taiwan
Bo Han China
Caio A. Leite Brazil
Claudio Pulito Italy
Shu‐Hui Lin Taiwan
DA-TIAN BAU Taiwan
Emanuela Masini Italy
Jörg Schröder Germany
Ling Ding China
Goshi Nishimura relative to Yen‐Yun Wang Taiwan Yen‐Yun Wang's profile →
Citations per field
00.5×6.2×
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Citations per year

Countries citing papers authored by Goshi Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Goshi Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Goshi Nishimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Goshi Nishimura Line = papers co-authored together Goshi Nishimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199992
2 200474
3 200470
4 200165
5 200754
6 201842
7 200540
8 200137
9 200936
10 201636
11 200435
12 200229
13 200929
14 200028
15 200928
16 200527
17 200427
18 201027
19 200525
20
Efficacy of concurrent chemoradiotherapy for T1 and T2 laryngeal squamous cell carcinoma regarding organ preservation.
200924

About Goshi Nishimura

Goshi Nishimura is a scholar working on Otorhinolaryngology, Oncology, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (39 papers), Head and Neck Surgical Oncology (6 papers), Antioxidant Activity and Oxidative Stress (4 papers), Salivary Gland Tumors Diagnosis and Treatment (4 papers), Galectins and Cancer Biology (3 papers), Oral and Maxillofacial Pathology (3 papers), Peptidase Inhibition and Analysis (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Otorhinolaryngology (463 citations), Oncology (297 citations), Cancer Research (116 citations), Toxicology (22 citations) and Pharmacology (96 citations). Goshi Nishimura has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Mamoru Tsukuda, Takahide Taguchi, Daisuke Sano, Nobuhiko Oridate, Choichi Horiuchi, Hideki Matsuda, Kenichiro Yabuki, Yasuhiro Arai, Hiromi Mizuno and Koji Kawakami. Their work appears in journals such as International Journal of Clinical Oncology, Cancer Chemotherapy and Pharmacology, Head & Neck, Oncology Reports and Anticancer Research.

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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