Jun Nakamura

2.3k total citations · 1 hit paper
132 papers, 1.5k citations indexed

About

Jun Nakamura is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Gastroenterology. According to data from OpenAlex, Jun Nakamura has authored 132 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Surgery, 68 papers in Pulmonary and Respiratory Medicine and 44 papers in Gastroenterology. Recurrent topics in Jun Nakamura's work include Pancreatic and Hepatic Oncology Research (31 papers), Esophageal and GI Pathology (31 papers) and Gastric Cancer Management and Outcomes (30 papers). Jun Nakamura is often cited by papers focused on Pancreatic and Hepatic Oncology Research (31 papers), Esophageal and GI Pathology (31 papers) and Gastric Cancer Management and Outcomes (30 papers). Jun Nakamura collaborates with scholars based in Japan, United States and Canada. Jun Nakamura's co-authors include Masahiro Okuda, Susumu Honda, Shigeo Suzuki, Kazuaki Kakehi, Takuto Hikichi, Hiromasa Ohira, Tadayuki Takagi, Mitsuru Sugimoto, Ko Watanabe and Rei Suzuki and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Jun Nakamura

119 papers receiving 1.5k citations

Hit Papers

High-performance liquid chromatography of reducing carboh... 1989 2026 2001 2013 1989 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Nakamura Japan 19 544 428 314 308 220 132 1.5k
Mitsuyuki Murano Japan 18 554 1.0× 307 0.7× 313 1.0× 304 1.0× 243 1.1× 59 1.6k
N. Yoshida Japan 20 414 0.8× 101 0.2× 322 1.0× 100 0.3× 203 0.9× 65 1.4k
Jianyu Hao China 20 444 0.8× 177 0.4× 513 1.6× 298 1.0× 121 0.6× 64 1.5k
Anja Schaible Germany 21 548 1.0× 460 1.1× 200 0.6× 288 0.9× 45 0.2× 64 1.4k
Jin‐Shiung Cheng Taiwan 26 713 1.3× 301 0.7× 452 1.4× 186 0.6× 296 1.3× 108 2.0k
Ryota Higuchi Japan 22 888 1.6× 679 1.6× 188 0.6× 623 2.0× 43 0.2× 120 1.5k
Hiroshi Maruyama Japan 20 479 0.9× 221 0.5× 339 1.1× 193 0.6× 54 0.2× 136 1.5k
In Hee Kim South Korea 24 248 0.5× 222 0.5× 595 1.9× 194 0.6× 65 0.3× 95 1.8k
Yuichi Fujii Japan 23 475 0.9× 153 0.4× 492 1.6× 186 0.6× 23 0.1× 93 2.0k
Fusao Komada Japan 21 146 0.3× 204 0.5× 391 1.2× 309 1.0× 76 0.3× 67 1.3k

Countries citing papers authored by Jun Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Jun Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Nakamura. A scholar is included among the top collaborators of Jun Nakamura 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 Jun Nakamura. Jun Nakamura 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
2.
Hikichi, Takuto, Jun Nakamura, Minami Hashimoto, et al.. (2024). Visibility of esophageal squamous cell carcinoma under iodine staining on texture and color enhancement imaging. SHILAP Revista de lepidopterología. 5(1). e370–e370. 1 indexed citations
3.
Hikichi, Takuto, Jun Nakamura, Minami Hashimoto, et al.. (2023). Novel Photodynamic Therapy for Esophageal Squamous Cell Carcinoma following Radiotherapy. Life. 13(6). 1276–1276.
4.
Hikichi, Takuto, et al.. (2023). Endoscopic ultrasound-guided fine-needle aspiration for gastrointestinal subepithelial lesions. Journal of Medical Ultrasonics. 51(2). 195–207. 1 indexed citations
6.
Takahashi, Kazuya, Hiroki Sato, Yuto Shimamura, et al.. (2023). Achalasia phenotypes and prediction of peroral endoscopic myotomy outcomes using machine learning. Digestive Endoscopy. 36(7). 789–800. 8 indexed citations
7.
Sugimoto, Mitsuru, Tadayuki Takagi, Rei Suzuki, et al.. (2023). Comparison of time to recurrent biliary obstruction between plastic stents and metallic stents for endoscopic ultrasound‑guided biliary drainage. Experimental and Therapeutic Medicine. 25(5). 214–214. 3 indexed citations
8.
Hata, Yoshitaka, Hiroki Sato, Yuto Shimamura, et al.. (2022). Impact of peroral endoscopic myotomy on high-resolution manometry findings and their association with the procedure’s outcomes. Gastrointestinal Endoscopy. 97(4). 673–683.e2. 3 indexed citations
9.
Abe, Hirofumi, Shinwa Tanaka, Hiroki Sato, et al.. (2022). Risk scoring system for the preprocedural prediction of the clinical failure of peroral endoscopic myotomy: a multicenter case–control study. Endoscopy. 55(3). 217–224. 8 indexed citations
10.
Shiwaku, Hironari, Hiroki Sato, Yuto Shimamura, et al.. (2022). Risk factors and long-term course of gastroesophageal reflux disease after peroral endoscopic myotomy: A large-scale multicenter cohort study in Japan. Endoscopy. 54(9). 839–847. 29 indexed citations
11.
Sugimoto, Mitsuru, Hiroki Irie, Mika Takasumi, et al.. (2021). A simple method for diagnosing gallbladder malignant tumors with subserosa invasion by endoscopic ultrasonography. BMC Cancer. 21(1). 288–288. 3 indexed citations
12.
Hikichi, Takuto, Jun Nakamura, Mika Takasumi, et al.. (2021). Usefulness of Endoscopic Ultrasound with the Jelly-Filling Method for Esophageal Varices. Diagnostics. 11(9). 1726–1726. 4 indexed citations
13.
Takasumi, Mika, Takuto Hikichi, Minami Hashimoto, et al.. (2021). Usefulness of a Fork-Tip Needle in Endoscopic Ultrasound-Guided Fine-Needle Biopsy for Gastric Subepithelial Lesions. Diagnostics. 11(10). 1883–1883. 6 indexed citations
14.
Sugimoto, Mitsuru, Tadayuki Takagi, Rei Suzuki, et al.. (2021). Spontaneous disappearance of common bile duct stones following the insertion of a new dumbbell‐shaped, covered self‐expandable metallic stent in a patient with benign biliary stricture. SHILAP Revista de lepidopterología. 9(5). e04093–e04093. 2 indexed citations
15.
16.
Sugimoto, Mitsuru, Hiroki Irie, Tadayuki Takagi, et al.. (2020). Efficacy of EUS-guided FNB using a Franseen needle for tissue acquisition and microsatellite instability evaluation in unresectable pancreatic lesions. BMC Cancer. 20(1). 1094–1094. 20 indexed citations
17.
Hayashi, Manabu, Masashi Fujita, Jun Nakamura, et al.. (2020). Sigmoid Colon Varices due to Massive Thrombosis of a Noncirrhotic Extrahepatic Portosystemic Shunt. Internal Medicine. 59(21). 2705–2710. 2 indexed citations
18.
Hikichi, Takuto, Jun Nakamura, Minami Hashimoto, et al.. (2020). Esophagobronchial fistula complicated by esophageal achalasia treated by per-oral endoscopic myotomy. Clinical Journal of Gastroenterology. 13(6). 1051–1056.
19.
Sugimoto, Mitsuru, Tadayuki Takagi, Rei Suzuki, et al.. (2017). Endoscopic Ultrasonography‐Guided Fine Needle Aspiration Can Be Used to Rule Out Malignancy in Autoimmune Pancreatitis Patients. Journal of Ultrasound in Medicine. 36(11). 2237–2244. 18 indexed citations
20.
Watanabe, Ko, Takuto Hikichi, Masaki Satō, et al.. (2016). Change in gastric emptying eight weeks after endoscopic submucosal dissection in patients with early gastric cancer. SHILAP Revista de lepidopterología. 4(5). E597–E602. 4 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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