T Hashizume

429 total citations
63 papers, 309 citations indexed

About

T Hashizume is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, T Hashizume has authored 63 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pulmonary and Respiratory Medicine and 16 papers in Radiation. Recurrent topics in T Hashizume's work include Radiation Dose and Imaging (13 papers), Radioactivity and Radon Measurements (8 papers) and Radiation Detection and Scintillator Technologies (7 papers). T Hashizume is often cited by papers focused on Radiation Dose and Imaging (13 papers), Radioactivity and Radon Measurements (8 papers) and Radiation Detection and Scintillator Technologies (7 papers). T Hashizume collaborates with scholars based in Japan, United States and United Kingdom. T Hashizume's co-authors include Takashi Maruyama, Takashi Maruyama, Kanae Nishizawa, Masahiro Izawa, Sangram Nag, Y Kumamoto, Akira Nishimura, Takao Yamamoto, Tsutomu Yamane and Kazunori Hosoe and has published in prestigious journals such as Journal of the American Academy of Dermatology, Surgery and Chemical and Pharmaceutical Bulletin.

In The Last Decade

T Hashizume

59 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T Hashizume Japan 8 88 66 59 57 49 63 309
Robert C. Ricks United States 11 283 3.2× 42 0.6× 17 0.3× 107 1.9× 16 0.3× 23 480
E.L. Lloyd United States 9 105 1.2× 13 0.2× 21 0.4× 88 1.5× 22 0.4× 21 288
Chad Hrdina United States 7 156 1.8× 69 1.0× 14 0.2× 59 1.0× 24 0.5× 7 288
Mary Ellen Berger United States 6 216 2.5× 29 0.4× 12 0.2× 82 1.4× 13 0.3× 11 288
Brooke Buddemeier United States 6 90 1.0× 43 0.7× 23 0.4× 38 0.7× 43 0.9× 12 221
M. Abo-Elmagd Egypt 13 122 1.4× 69 1.0× 253 4.3× 9 0.2× 57 1.2× 31 395
J.M. Barrera Spain 10 25 0.3× 38 0.6× 28 0.5× 19 0.3× 32 0.7× 15 547
Jim Thurston United Kingdom 4 85 1.0× 4 0.1× 15 0.3× 35 0.6× 21 0.4× 8 253
S. J. Holmes United Kingdom 9 209 2.4× 5 0.1× 2 0.0× 253 4.4× 30 0.6× 13 451
Jae Won Jung United States 12 161 1.8× 8 0.1× 2 0.0× 172 3.0× 197 4.0× 55 385

Countries citing papers authored by T Hashizume

Since Specialization
Citations

This map shows the geographic impact of T Hashizume'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 T Hashizume with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Hashizume more than expected).

Fields of papers citing papers by T Hashizume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Hashizume

This figure shows the co-authorship network connecting the top 25 collaborators of T Hashizume. A scholar is included among the top collaborators of T Hashizume 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 T Hashizume. T Hashizume 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.
Oshi, Masanori, Arya Mariam Roy, Osamu Matsuura, et al.. (2023). E2F target score is associated with cell proliferation and survival of patients with hepatocellular carcinoma. Surgery. 174(2). 307–314. 13 indexed citations
2.
Aoki, Kazunori, et al.. (2014). A Case of Multiple Carcinoid Tumors of the Small Intestine Diagnosed following Investigation of Melena. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 75(2). 462–466.
3.
Hashizume, T, et al.. (2012). Clinical study of distribution of the main vessels in cases of right-sided colon cancer operations. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 73(4). 761–768. 1 indexed citations
4.
5.
Matsuura, Osamu, et al.. (2012). A case of intraductal papillary mucinous neoplasm with multilocular cyst-forming glucagonoma. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 73(4). 957–962. 1 indexed citations
6.
Tomita, Naohiro, Masahiko Watanabe, Masao Kameyama, et al.. (2005). Questionnaire Survey on Very Low Resection with Peranal Coloanal Anastomosis for Lower Rectal Cancer. Nihon Daicho Komonbyo Gakkai Zasshi. 58(1). 1–12. 1 indexed citations
7.
Hashizume, T, et al.. (2004). Clinical Study of using Prophylactic Antibiotics and Chemical Preparation for Elective Operation of Colorectal Cancer. The Japanese Journal of Gastroenterological Surgery. 37(4). 375–383. 2 indexed citations
8.
Yamane, Tsutomu, T Hashizume, Kazunori Hosoe, et al.. (1993). Synthesis and Biological Activity of 3'-Hydroxy-5'-aminobenzoxazinorifamycin Derivatives.. Chemical and Pharmaceutical Bulletin. 41(1). 148–155. 48 indexed citations
9.
Hashizume, T, et al.. (1989). A clinical study of multiple colorectal cangers and other associated malignant tumors.. The Japanese Journal of Gastroenterological Surgery. 22(5). 1102–1107.
10.
Hisamichi, Shigeru, et al.. (1982). Mass survey of gastric cancer and leukemia in Miyagi Prefecture, Japan.. The Tohoku Journal of Experimental Medicine. 138(3). 239–243. 3 indexed citations
11.
Tateno, Yukio, et al.. (1980). Quantitative evaluation of risks for individuals in diagnostic radiology. 40(5). 476–484. 2 indexed citations
12.
Hashizume, T, et al.. (1980). [Population doses from beam therapy in Japan 1978. Part 2. Estimation of genetically significant dose, per caput mean bone marrow dose and leukemia significant dose (author's transl)].. PubMed. 40(5). 466–75. 2 indexed citations
13.
Hashizume, T, et al.. (1979). [Estimations of stochastic risk from medical X-ray diagnosis (author's transl)].. PubMed. 39(2). 170–3. 1 indexed citations
14.
Maruyama, Takashi, et al.. (1978). DOSE DISTRIBUTIONS AROUND PATIENTS DURING DENTAL RADIOGRAPHIC AND ORTHOPANTOMOGRAPHIC EXAMINATION. Medical Entomology and Zoology. 18(1). 13–20. 1 indexed citations
15.
Hashizume, T, et al.. (1977). [Estimation of population doses from stomach mass screening, 1975 (author's transl)].. PubMed. 37(6). 578–578. 2 indexed citations
16.
Hashizume, T, et al.. (1974). Genetically Significant Dose from Beam Therapy in Japan, 1971. Health Physics. 26(5). 449–459. 3 indexed citations
17.
Hashizume, T, et al.. (1973). Dose Estimation of Non-occupational Persons Accidentally Exposed to 192Ir Gamma-Rays. Journal of Radiation Research. 14(3). 320–327. 6 indexed citations
18.
Hashizume, T, et al.. (1972). POPULATION MEAN MARROW DOSE AND LEUKAEMIA SIGNIFICANT DOSE FROM DIAGNOSTIC MEDICAL X-RAY EXAMINATIONS IN JAPAN 1969. Japanese Journal of Radiological Technology. 28(1). 73–83. 1 indexed citations
19.
Sato, Chikako, et al.. (1968). The Quantity of Strontium 90 in the Bone of Leukemic Patients. The Tohoku Journal of Experimental Medicine. 94(1). 45–53. 2 indexed citations
20.
Hashizume, T, et al.. (1964). [ESTIMATION OF BONE MARROW FROM RADIOGRAPHY OF X-RAY EXAMINATION].. PubMed. 24. 1087–93. 3 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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