Mayumi Nishimura

716 total citations
52 papers, 562 citations indexed

About

Mayumi Nishimura is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mayumi Nishimura has authored 52 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mayumi Nishimura's work include Effects of Radiation Exposure (12 papers), Palliative Care and End-of-Life Issues (6 papers) and T-cell and Retrovirus Studies (4 papers). Mayumi Nishimura is often cited by papers focused on Effects of Radiation Exposure (12 papers), Palliative Care and End-of-Life Issues (6 papers) and T-cell and Retrovirus Studies (4 papers). Mayumi Nishimura collaborates with scholars based in Japan, United States and Australia. Mayumi Nishimura's co-authors include Yoshiya Shimada, Takahiko Saida, Shizuko Kakinuma, Shigekazu Kuroki, Hiroshi Obayashi, Tatsuhiko Imaoka, Takashi Uchiyama, Teruyuki Kawabata, Kyoko Saida and I Akiguchi and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Neurology.

In The Last Decade

Mayumi Nishimura

47 papers receiving 544 citations

Peers

Mayumi Nishimura

RNMI

NEURO

PRM

T. Gotwald Austria

Lin Luo China

Chao Hou China

R E Bonshek United Kingdom

Gayle Ross Australia

Rie Sano Japan

Ilonna J. Rimm United States

Jian Shen China

Fernando Mateos Spain

T. Gotwald Austria

Mayumi Nishimura

57 ×0.4

130 ×1.1

RNMI

222 ×1.9

NEURO

63 ×0.8

196 ×2.7

PRM

Citations per year, relative to Mayumi Nishimura Mayumi Nishimura (= 1×) peers T. Gotwald

Countries citing papers authored by Mayumi Nishimura

Since Specialization

Citations

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

Fields of papers citing papers by Mayumi Nishimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Nishimura. A scholar is included among the top collaborators of Mayumi Nishimura 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 Mayumi Nishimura. Mayumi Nishimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kakinuma, Shizuko, Yi Shang, Takamitsu Morioka, et al.. (2025). Influence of age and sex on the relative biological effectiveness of 13-keV/μm carbon ions for lifespan shortening of B6C3F1 Mice. PLoS ONE. 20(9). e0332270–e0332270.

Kuriyama, Akira, et al.. (2025). Exploring perceptions of work motivation through the experiences of healthcare professionals who provided end-of-life care during the COVID-19 pandemic (PRECA-C project): a qualitative study. Human Resources for Health. 23(1). 28–28.

Morita, Mayu, Shinya Yokomizo, Mayumi Nishimura, et al.. (2021). An Enriched Environment Alters DNA Repair and Inflammatory Responses After Radiation Exposure. Frontiers in Immunology. 12. 760322–760322. 5 indexed citations

Nishimura, Yukiko, Mayumi Nishimura, Kazuhiro Daino, et al.. (2020). The effect of radiation on the ability of rat mammary cells to form mammospheres. Radiation and Environmental Biophysics. 59(4). 711–721. 3 indexed citations

Uneno, Yu, Kazuki Sato, Tatsuya Morita, et al.. (2020). Current status of integrating oncology and palliative care in Japan: a nationwide survey. BMC Palliative Care. 19(1). 12–12. 5 indexed citations

Takabatake, Masaru, Kazuhiro Daino, Tatsuhiko Imaoka, et al.. (2018). Differential effect of parity on rat mammary carcinogenesis after pre- or post-pubertal exposure to radiation. Scientific Reports. 8(1). 14325–14325. 13 indexed citations

Kakinuma, Shizuko, Mayumi Nishimura, Yi Shang, et al.. (2018). Kinetics of cytokine mRNA and protein expression by plastic adherent cells in the thymus after split-dose irradiation. Cytokine. 114. 92–97. 1 indexed citations

Daino, Kazuhiro, Tatsuhiko Imaoka, Takamitsu Morioka, et al.. (2013). Loss of the BRCA1-Interacting Helicase BRIP1 Results in Abnormal Mammary Acinar Morphogenesis. PLoS ONE. 8(9). e74013–e74013. 14 indexed citations

Kakinuma, Shizuko, Mayumi Nishimura, Tatsuhiko Imaoka, et al.. (2012). Ikaros is a critical target during simultaneous exposure to X‐rays and N‐ethyl‐N‐nitrosourea in mouse T‐cell lymphomagenesis. International Journal of Cancer. 132(2). 259–268. 4 indexed citations

10.

Shang, Yi, Shizuko Kakinuma, Mayumi Nishimura, et al.. (2011). Interleukin‐9 receptor gene is transcriptionally regulated by nucleolin in T‐Cell lymphoma cells. Molecular Carcinogenesis. 51(8). 619–627. 17 indexed citations

11.

Kawakami, Hiroshi, et al.. (2009). System design based on benefit of inconvenience and emotion. 2009 ICCAS-SICE. 1184–1188. 6 indexed citations

12.

Yoshida, Mitsuaki A., Akifumi Nakata, Miho Akiyama, et al.. (2007). Distinct structural abnormalities of chromosomes 11 and 12 associated with loss of heterozygosity in X-ray–induced mouse thymic lymphomas. Cancer Genetics and Cytogenetics. 179(1). 1–10. 9 indexed citations

13.

Imaoka, Tatsuhiko, Mayumi Nishimura, Yukiko Nishimura, et al.. (2005). Cooperative induction of rat mammary cancer by radiation and 1‐methyl‐1‐nitrosourea via the oncogenic pathways involving c‐Myc activation and H‐ras mutation. International Journal of Cancer. 115(2). 187–193. 21 indexed citations

14.

Araki, Isao, Masaru Matsui, Kyoko Ozawa, et al.. (2002). Relationship between urinary symptoms and disease-related parameters in multiple sclerosis. Journal of Neurology. 249(8). 1010–1015. 32 indexed citations

15.

Yamauchi, Masatake, et al.. (2002). Effect of SCID mutation on the occurrence of mouse Pc-1 (Ms6-hm) germline mutations. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 503(1-2). 43–49. 7 indexed citations

16.

Nishimura, Mayumi, et al.. (2001). 成体C.B-17scidマウスにおけるN-エチル-N-ニトロソウレア誘発胸腺リンパ腫に対する低感受性とras変異スペクトル. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 486(4). 275–283. 4 indexed citations

17.

Nishimura, Mayumi, Shigekazu Kuroki, Masafumi Nukina, et al.. (1998). Genetic contribution of the tumor necrosis factor region in guillain‐barré syndrome. Annals of Neurology. 44(5). 815–818. 28 indexed citations

18.

Ogiu, Toshiaki, et al.. (1996). Relation of Leakiness and Development of Thymic Lymphomas in Radiosensitive C. B-17/scid Mice. Journal of Radiation Research. 37(4). 380. 3 indexed citations

19.

Nishimura, Mayumi, Takahiko Saida, Shigekazu Kuroki, et al.. (1996). Post-infectious encephalitis with anti-galactocerebroside antibody subsequent to Mycoplasma pneumoniae infection. Journal of the Neurological Sciences. 140(1-2). 91–95. 69 indexed citations

20.

Ohnishi, K, et al.. (1994). Bundles of amyloid precursor protein-immunoreactive axons in human cerebrovascular white matter lesions. Acta Neuropathologica. 87(5). 450–455. 43 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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