Hiromu Nishitani

3.5k total citations
133 papers, 2.6k citations indexed

About

Hiromu Nishitani is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Hiromu Nishitani has authored 133 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Pulmonary and Respiratory Medicine and 26 papers in Surgery. Recurrent topics in Hiromu Nishitani's work include Advanced MRI Techniques and Applications (20 papers), Endometrial and Cervical Cancer Treatments (13 papers) and Medical Imaging Techniques and Applications (12 papers). Hiromu Nishitani is often cited by papers focused on Advanced MRI Techniques and Applications (20 papers), Endometrial and Cervical Cancer Treatments (13 papers) and Medical Imaging Techniques and Applications (12 papers). Hiromu Nishitani collaborates with scholars based in Japan, United States and Spain. Hiromu Nishitani's co-authors include Kenji Matsuzaki, Masafumi Harada, Mayumi Takeuchi, Hideki Otsuka, Hitoshi Kubo, Tsuyoshi Matsuda, Naomi Morita, Hisanori Uehara, Kenji Mori and Hitoshi Ikushima and has published in prestigious journals such as NeuroImage, Cancer and Spine.

In The Last Decade

Hiromu Nishitani

128 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiromu Nishitani Japan 29 788 581 526 424 402 133 2.6k
Grégoire Dooms Belgium 24 576 0.7× 590 1.0× 584 1.1× 197 0.5× 159 0.4× 63 2.4k
Toshihide Ogawa Japan 40 2.4k 3.1× 854 1.5× 591 1.1× 417 1.0× 463 1.2× 210 5.2k
Maria I. Argyropoulou Greece 37 988 1.3× 508 0.9× 1.1k 2.1× 126 0.3× 331 0.8× 224 4.6k
Katsumi Hayakawa Japan 28 574 0.7× 550 0.9× 580 1.1× 135 0.3× 136 0.3× 185 2.8k
Michaël Reinhardt Germany 34 1.2k 1.6× 608 1.0× 445 0.8× 224 0.5× 152 0.4× 103 3.6k
C.A. Cuénod France 38 2.5k 3.2× 644 1.1× 708 1.3× 833 2.0× 638 1.6× 138 4.9k
Floro Miraldi United States 22 942 1.2× 400 0.7× 290 0.6× 289 0.7× 197 0.5× 63 2.3k
Hajime Nakamura Japan 33 843 1.1× 709 1.2× 697 1.3× 126 0.3× 123 0.3× 189 3.9k
K Nishimura Japan 29 362 0.5× 356 0.6× 643 1.2× 821 1.9× 831 2.1× 95 3.2k
Pejman Ghanouni United States 37 1.6k 2.0× 861 1.5× 444 0.8× 151 0.4× 154 0.4× 136 4.3k

Countries citing papers authored by Hiromu Nishitani

Since Specialization
Citations

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

Fields of papers citing papers by Hiromu Nishitani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiromu Nishitani

This figure shows the co-authorship network connecting the top 25 collaborators of Hiromu Nishitani. A scholar is included among the top collaborators of Hiromu Nishitani 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 Hiromu Nishitani. Hiromu Nishitani 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.
Nagai, Ryozo, Kazuo Awai, Yasunobu Hirata, et al.. (2013). Guideline for Radiation Safety in Interventional Cardiology (JCS 2011) : Digest Version. Japanese Circulation Journal-english Edition. 77(2). 519–549. 8 indexed citations
2.
Harada, Masafumi, et al.. (2008). Comparison of 3.0-and 1.5-tesla diffusion-weighted imaging in the visibility of breast cancer. Radiation Medicine. 26(1). 15–20. 99 indexed citations
3.
Kubo, Akiko, et al.. (2008). Prognostic significance of HIF-2.ALPHA. expression on tumor infiltrating macrophages in patients with uterine cervical cancer undergoing radiotherapy. The Journal of Medical Investigation. 55(1,2). 78–86. 37 indexed citations
4.
Kawai, Jun, Yoshiki Kawata, Noboru Niki, et al.. (2006). Classfication algorithm of Segmental Bronchus based on Multi-Slice CT images. IEICE Technical Report; IEICE Tech. Rep.. 106(225). 5–8. 1 indexed citations
5.
Nishio, T., Yoshiki Kawata, Noboru Niki, et al.. (2005). An Extraction Algorithm of Pulmonary Vein and Artery based on Multi-Slice CT Image. 105(63). 41–45. 1 indexed citations
6.
Honda, Eiichi, et al.. (2004). A New DICOM Viewer for Oral and Maxillofacial Regions. 44(3). 136–151. 1 indexed citations
7.
Nishitani, Hiromu, et al.. (2003). Patient Skin Dose in Interventional Radiology Using Radiochromic Dosimetry Film. Japanese Journal of Radiological Technology. 59(1). 121–129. 14 indexed citations
8.
Nishitani, Hiromu, et al.. (2002). Measurement of Patient Skin Dose in Interventional Radiology Using Radiochromic Reflecting-type Sheet Films. Japanese Journal of Radiological Technology. 58(3). 420–423. 6 indexed citations
9.
Matsuki, Hirokazu, et al.. (2000). A COMPARISON OF THE RESULTS OF RADIOTHERAPY AND SURGICAL TREATMENT OF TONGUE CANCER. 12(2). 143–152. 1 indexed citations
10.
Ikushima, Hitoshi, et al.. (1999). Radiotherapy for carcinoma of the uterine cervix using low-dose-rate intracavitary brachytherapy. A retrospective analysis of pretreatment and treatment prognostic factors. 11(1). 37–46. 1 indexed citations
11.
Ikushima, Hitoshi, et al.. (1999). RADIOTHERAPY FOR CARCINOMA OF THE UTERINE CERVIX USING LOW-DOSE-RATE INTRACAVITARY BRACHYTHERAPY. 11(1). 37–46. 4 indexed citations
12.
Sammouda, Rachid, et al.. (1998). Segmentation of Sputum Color Image for Lung Cancer Diagnosis Based on Neural Networks. IEICE Transactions on Information and Systems. 81(8). 862–871. 13 indexed citations
13.
Niki, Noboru, et al.. (1997). Sputum Color Image Segmentation for Lung Cancer Diagnosis. 15(4). 525–526. 1 indexed citations
14.
Hirakawa, Satoshi, Csaba Rekeczky, Yoshifumi Nishio, et al.. (1997). Detecting lung cancer symptoms with analogic CNN algorithms based on a constrained diffusion template. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 80(7). 1340–1344. 2 indexed citations
15.
Sammouda, Rachid, Noboru Niki, & Hiromu Nishitani. (1996). Segmentation of Brain MR Images Based on Neural Networks. IEICE Transactions on Information and Systems. 79(4). 349–356. 8 indexed citations
16.
Sammouda, Rachid, Noboru Niki, & Hiromu Nishitani. (1995). Neural networks for the segmentation of magnetic resonance images. Lecture notes in computer science. 1024. 339–346. 1 indexed citations
17.
Hayashi, Yoshinori, Takahiro Matsumoto, Hirokazu Matsuki, & Hiromu Nishitani. (1994). Postoperative pelvic lymphocele. 31(2). 125–129. 2 indexed citations
18.
Kashihara, Kenichi, et al.. (1992). CLINICAL EVALUATION OF POSTOPERATIVE RADIOTHERAPY FOR UTERINE CERVICAL CANCER. 4(1). 45–53. 1 indexed citations
19.
Niki, Noboru, et al.. (1992). A Magnetoencephalographic Mapping Using multichannel SQUID System and MRI. 16(55). 59–65.
20.
Nishitani, Hiromu, et al.. (1978). Urinary Carcinoembryonic Like Antigen levels in Patients with Uriary Tract Reconstruction Using Bowels. RADIOISOTOPES. 27(8). 456–459. 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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