M Furusawa

658 total citations
37 papers, 503 citations indexed

About

M Furusawa is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, M Furusawa has authored 37 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 10 papers in Surgery. Recurrent topics in M Furusawa's work include Head and Neck Cancer Studies (8 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers) and Medical Imaging Techniques and Applications (5 papers). M Furusawa is often cited by papers focused on Head and Neck Cancer Studies (8 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers) and Medical Imaging Techniques and Applications (5 papers). M Furusawa collaborates with scholars based in Japan. M Furusawa's co-authors include Yasuyuki Yamashita, Ryuji Murakami, Yuji Baba, Ryuichi Nishimura, H Tomoda, Akito Matsukuma, Takeshi Nakaura, Mutsumasa Takahashi, Yohan Seo and Yasunori Nagayama and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

M Furusawa

34 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Furusawa Japan 13 221 156 127 109 100 37 503
Yongfeng Piao China 12 81 0.4× 80 0.5× 140 1.1× 78 0.7× 61 0.6× 25 366
Michael G. McKenna United States 9 277 1.3× 276 1.8× 72 0.6× 53 0.5× 72 0.7× 17 508
Samuel Tung United States 13 175 0.8× 240 1.5× 63 0.5× 75 0.7× 54 0.5× 17 538
Roger Tabah Canada 13 52 0.2× 86 0.6× 47 0.4× 285 2.6× 72 0.7× 26 640
Alicia Marín Spain 8 99 0.4× 80 0.5× 34 0.3× 69 0.6× 30 0.3× 15 311
Jagdish K. Dhingra United States 9 111 0.5× 227 1.5× 107 0.8× 180 1.7× 90 0.9× 26 505
Min Kyu Kang South Korea 13 112 0.5× 127 0.8× 62 0.5× 151 1.4× 52 0.5× 54 484
Mária Gődény Hungary 10 49 0.2× 60 0.4× 94 0.7× 125 1.1× 15 0.1× 38 333
Eli Sapir United States 9 102 0.5× 165 1.1× 82 0.6× 97 0.9× 29 0.3× 30 476
Markus Notter Switzerland 10 75 0.3× 178 1.1× 184 1.4× 179 1.6× 110 1.1× 18 477

Countries citing papers authored by M Furusawa

Since Specialization
Citations

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

Fields of papers citing papers by M Furusawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Furusawa

This figure shows the co-authorship network connecting the top 25 collaborators of M Furusawa. A scholar is included among the top collaborators of M Furusawa 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 M Furusawa. M Furusawa 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.
Furusawa, M, et al.. (2023). A Case of Tumor Lysis Syndrome during Palliative Radiotherapy for Breast Cancer Metastases. SHILAP Revista de lepidopterología. 16(1). 1060–1065. 1 indexed citations
2.
Nagayama, Yasunori, Seitaro Oda, Takeshi Nakaura, et al.. (2018). Radiation Dose Reduction at Pediatric CT: Use of Low Tube Voltage and Iterative Reconstruction. Radiographics. 38(5). 1421–1440. 100 indexed citations
3.
Nagayama, Yasunori, Takeshi Nakaura, Joji Urata, et al.. (2017). Cerebral bone subtraction CT angiography using 80 kVp and sinogram-affirmed iterative reconstruction: contrast medium and radiation dose reduction with improvement of image quality. Neuroradiology. 59(2). 127–134. 8 indexed citations
4.
5.
Nagayama, Yasunori, Takeshi Nakaura, Joji Urata, et al.. (2016). Radiation dose reduction using 100-kVp and a sinogram-affirmed iterative reconstruction algorithm in adolescent head CT: Impact on grey–white matter contrast and image noise. European Radiology. 27(7). 2717–2725. 10 indexed citations
6.
Murakami, Ryuji, Toshinori Hirai, Hideo Nakamura, et al.. (2011). Recurrence patterns of glioblastoma treated with postoperative radiation therapy: relationship between extent of resection and progression-free interval. Japanese Journal of Radiology. 30(3). 193–197. 14 indexed citations
7.
Murakami, Ryuji, Ryuichi Nishimura, Yuji Baba, et al.. (2005). Prognostic factors of glottic carcinomas treated with radiation therapy: Value of the adjacent sign on radiological examinations in the sixth edition of the UICC TNM staging system. International Journal of Radiation Oncology*Biology*Physics. 61(2). 471–475. 30 indexed citations
8.
9.
Baba, Yuji, M Furusawa, Ryuji Murakami, et al.. (1998). Optimal image resolution for digital storage of radiotherapy-planning images. International Journal of Radiation Oncology*Biology*Physics. 41(4). 955–957. 2 indexed citations
10.
Nishimura, Ryuichi, Yuji Baba, Ryuji Murakami, et al.. (1997). MR evaluation of radiation otomastoiditis. International Journal of Radiation Oncology*Biology*Physics. 39(1). 155–160. 10 indexed citations
11.
Furusawa, M, et al.. (1997). Carbon-13 magnetic resonance spectroscopy of glucose metabolism in SCC-VII tumors.. PubMed. 15(3). 149–53. 4 indexed citations
12.
Murakami, Ryuji, Yuji Baba, Ryuichi Nishimura, et al.. (1997). The effect of azelastine on acute radiation dermatitis in mice models. International Journal of Radiation Oncology*Biology*Physics. 37(4). 907–911. 18 indexed citations
13.
Baba, Yuji, M Furusawa, Ryuji Murakami, et al.. (1997). Role of dynamic MRI in the evaluation of head and neck cancers treated with radiation therapy. International Journal of Radiation Oncology*Biology*Physics. 37(4). 783–787. 47 indexed citations
14.
Matsukuma, Akito, M Furusawa, H Tomoda, & Yohan Seo. (1996). A clinicopathological study of asymptomatic gastric cancer. British Journal of Cancer. 74(10). 1647–1650. 56 indexed citations
15.
Furusawa, M, Yuji Baba, Ryuji Murakami, et al.. (1996). Azelastine: its clinical application for radiation dermatitis.. PubMed. 14(3). 151–4. 4 indexed citations
16.
Baba, Yuji, et al.. (1994). Radiation Therapy of Adult T-Cell Leukemia. Acta Oncologica. 33(6). 667–670. 6 indexed citations
17.
Miyagawa, Kiyoshi, H Sakamoto, Teruhiko Yoshida, et al.. (1988). hst-1 transforming protein: expression in silkworm cells and characterization as a novel heparin-binding growth factor.. PubMed. 3(4). 383–9. 39 indexed citations
18.
Matsunaga, K., et al.. (1981). Elevated cytostatic activity of monocytes from cancer patients.. PubMed. 72(6). 848–53. 5 indexed citations
19.
Furusawa, M, et al.. (1972). [Follow-up studies of surgical therapy of stomach cancer].. PubMed. 18(3). 203–8. 1 indexed citations
20.
Furusawa, M, et al.. (1967). [Pathology of early gastric cancer--especially from the surgical standpoint].. PubMed. 16(3). 325–35. 1 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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