Yukiko Shimizu

73 papers receiving 2.4k citations

Yukiko Shimizu's Hit Papers

TMPRSS2 Contributes to Virus Spread and Immunopathology in the Airways of Murine Models after Coronavirus Infection 2019 · 491 citations
4910+10+20Years since publication200400600

Peers

Yukiko Shimizu
Comparison fields: 5 of 140
  • Radiological and Ultrasound Technology 165
  • Radiology, Nuclear Medicine and Imaging 570
  • Infectious Diseases 415
  • Nutrition and Dietetics 161
  • Pharmacy 46
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Citations per year

Countries citing papers authored by Yukiko Shimizu

Since Specialization
Citations

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

Fields of papers citing papers by Yukiko Shimizu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yukiko Shimizu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yukiko Shimizu Line = papers co-authored together Yukiko Shimizu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Studies of the Mortality of Atomic Bomb Survivors. Report 12, Part I. Cancer: 1950-1990
Hit paper breakdown →
1996710
2
TMPRSS2 Contributes to Virus Spread and Immunopathology in the Airways of Murine Models after Coronavirus Infection
Hit paper breakdown →
2019491
3 2014121
4 199390
5
Characterization of a ligand for receptor protein-tyrosine kinase HTK expressed in immature hematopoietic cells.
199676
6 200070
7 200267
8 202064
9 198454
10 199949
11 199637
12 201936
13 201436
14 199734
15 199632
16 201226
17 200026
18 199325
19 201325
20 198422

About Yukiko Shimizu

Yukiko Shimizu is a scholar working on Molecular Biology, Genetics, Surgery, Epidemiology and Rheumatology, having authored 76 papers that have together received 2.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (12 papers), Infant Health and Development (5 papers), Pancreatic function and diabetes (5 papers), Pelvic floor disorders treatments (5 papers), Infant Nutrition and Health (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Adipose Tissue and Metabolism (3 papers) and Fatty Acid Research and Health (3 papers). The work is most often cited by research in Radiological and Ultrasound Technology (165 citations), Radiology, Nuclear Medicine and Imaging (570 citations), Infectious Diseases (415 citations), Nutrition and Dietetics (161 citations) and Pharmacy (46 citations). Yukiko Shimizu has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Kiyóhiko Mabuchi, Donald A. Pierce, Michael Væth, Dale L. Preston, Tadashi Okamura, Hideki Hasegawa, Noriyo Nagata, Makoto Takeda, Naoko Iwata‐Yoshikawa and T Yanaihara. Their work appears in journals such as Infant Behavior and Development, Journal of Diabetes Investigation, The Journal of Steroid Biochemistry and Molecular Biology, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and PLoS ONE.

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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