Junji Machi

3.1k total citations
97 papers, 2.3k citations indexed

About

Junji Machi is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Junji Machi has authored 97 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Surgery, 37 papers in Radiology, Nuclear Medicine and Imaging and 34 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Junji Machi's work include Ultrasound Imaging and Elastography (25 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Pancreatic and Hepatic Oncology Research (15 papers). Junji Machi is often cited by papers focused on Ultrasound Imaging and Elastography (25 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Pancreatic and Hepatic Oncology Research (15 papers). Junji Machi collaborates with scholars based in United States, Japan and France. Junji Machi's co-authors include Bernard Sigel, Ernest J. Feleppa, Robert H. Oishi, N Furumoto, Jonathan Mamou, Teruo Kakegawa, Andrew J. Oishi, Eugene Yanagihara, Howard A. Zaren and Yuichi Yamashita and has published in prestigious journals such as Science, Annals of Surgery and The Journal of the Acoustical Society of America.

In The Last Decade

Junji Machi

95 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junji Machi United States 29 847 704 622 600 579 97 2.3k
Andrej Lyshchik United States 30 760 0.9× 411 0.6× 1.4k 2.2× 740 1.2× 237 0.4× 109 3.1k
G Gandini Italy 29 967 1.1× 1.3k 1.8× 563 0.9× 1.1k 1.9× 320 0.6× 164 3.7k
Woo Kyoung Jeong South Korea 28 1.2k 1.4× 464 0.7× 769 1.2× 1.3k 2.1× 379 0.7× 176 3.2k
Joseph R. Grajo United States 20 476 0.6× 253 0.4× 583 0.9× 328 0.5× 245 0.4× 83 1.7k
Roald Flesland Havre Norway 25 773 0.9× 454 0.6× 636 1.0× 151 0.3× 666 1.2× 52 1.7k
Susan M. Ascher United States 36 1.0k 1.2× 551 0.8× 1.1k 1.7× 405 0.7× 450 0.8× 95 4.1k
Eriko Tohno Japan 21 437 0.5× 593 0.8× 1.6k 2.5× 289 0.5× 519 0.9× 85 3.0k
Eric W. Olcott United States 22 956 1.1× 584 0.8× 632 1.0× 223 0.4× 226 0.4× 76 1.9k
Holger Strunk Germany 30 901 1.1× 762 1.1× 784 1.3× 750 1.3× 559 1.0× 122 2.7k
Hervé Trillaud France 34 1.0k 1.2× 671 1.0× 988 1.6× 1.3k 2.1× 397 0.7× 118 3.7k

Countries citing papers authored by Junji Machi

Since Specialization
Citations

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

Fields of papers citing papers by Junji Machi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junji Machi

This figure shows the co-authorship network connecting the top 25 collaborators of Junji Machi. A scholar is included among the top collaborators of Junji Machi 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 Junji Machi. Junji Machi 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.
Mamou, Jonathan, et al.. (2017). Segmentation of 3-D High-Frequency Ultrasound Images of Human Lymph Nodes Using Graph Cut With Energy Functional Adapted to Local Intensity Distribution. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 64(10). 1514–1525. 8 indexed citations
2.
Yamada, Toru, Juichi Sato, Tomoya Okubo, et al.. (2017). Reliability and acceptability of six station multiple mini-interviews: past-behavioural versus situational questions in postgraduate medical admission. BMC Medical Education. 17(1). 57–57. 12 indexed citations
3.
Katagiri, Hideki, Kenji Okumura, & Junji Machi. (2013). Internal hernia due to mesenteric defect. Journal of Surgical Case Reports. 2013(5). rjt037–rjt037. 12 indexed citations
4.
Feleppa, Ernest J., Jonathan Mamou, Christopher R. Porter, & Junji Machi. (2011). Quantitative Ultrasound in Cancer Imaging. Seminars in Oncology. 38(1). 136–150. 56 indexed citations
5.
Mamou, Jonathan, Alain Coron, Michael L. Oelze, et al.. (2011). Three-Dimensional High-Frequency Backscatter and Envelope Quantification of Cancerous Human Lymph Nodes. Ultrasound in Medicine & Biology. 37(3). 345–357. 120 indexed citations
6.
Hata, Masaki, Kazuhiro Sakamoto, Kenneth Sumida, et al.. (2010). Improvement of long-term survival of colorectal cancer in Japanese-Americans of Hawaii from 1990 to 2001. International Journal of Clinical Oncology. 15(6). 559–564. 3 indexed citations
7.
Machi, Junji, James Johnson, Daniel J. Deziel, et al.. (2008). The routine use of laparoscopic ultrasound decreases bile duct injury: a multicenter study. Surgical Endoscopy. 23(2). 384–388. 54 indexed citations
8.
Wong, Linda L., et al.. (2005). Radiofrequency ablation versus surgical resection for single nodule hepatocellular carcinoma: Long‐term outcomes. HPB. 7(3). 214–221. 49 indexed citations
9.
Machi, Junji, et al.. (2002). Hand-assisted Laparoscopic Ultrasound-Guided Radiofrequency Thermal Ablation Of Liver Tumors: A Technical Report. Surgical Laparoscopy Endoscopy & Percutaneous Techniques. 12(3). 160–164. 13 indexed citations
10.
Machi, Junji, et al.. (2002). Gallstone ileus with cholecystoduodenal fistula. The American Journal of Surgery. 183(1). 56–57. 4 indexed citations
11.
Makuuchi, Masatoshi, Junji Machi, & Guido Torzilli. (2000). Intraoperative procedures. Ultrasound in Medicine & Biology. 26. S140–S143. 4 indexed citations
12.
Machi, Junji, et al.. (2000). Simple Laparoscopic Ultrasound Technique for Prevention of Bile Duct Injuries. Journal of Laparoendoscopic & Advanced Surgical Techniques. 10(3). 165–168. 11 indexed citations
14.
Machi, Junji & Bernard Sigel. (1996). Operative ultrasound in general surgery. The American Journal of Surgery. 172(1). 15–20. 35 indexed citations
15.
Parsons, Richard E., Bernard Sigel, Ernest J. Feleppa, et al.. (1993). Effect of perfusion and blood content on ultrasonic backscattering of liver tissue. Ultrasound in Medicine & Biology. 19(1). 39–43. 4 indexed citations
16.
Machi, Junji, Hiroharu Isomoto, Toshihiko Kurohiji, et al.. (1991). Accuracy of intraoperative ultrasonography in diagnosing liver metastasis from colorectal cancer: Evaluation with postoperative follow-up results. World Journal of Surgery. 15(4). 551–556. 93 indexed citations
17.
Sigel, Bernard, Robert Golub, Laurie A. Loiacono, et al.. (1991). Technique of ultrasonic detection and mapping of abdominal wall adhesions. Surgical Endoscopy. 5(4). 161–165. 88 indexed citations
18.
Sigel, Bernard, Ernest J. Feleppa, Vanlila K. Swami, et al.. (1990). Ultrasonic Tissue Characterization of Blood Clots. Surgical Clinics of North America. 70(1). 13–29. 18 indexed citations
19.
Fujita, Hiromasa, et al.. (1988). A latissimus dorsi muscle flap used for repair of the esophagus after enucleation of a giant leiomyoma —A case report. Surgery Today. 18(4). 460–464. 6 indexed citations
20.

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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