Hiroto Shima

427 citations
26 papers · 348 · h-index 9

Impact in

Papers in

Hiroto Shima

25 papers receiving 330 citations

Peers

Hiroto Shima
Comparison fields: 5 of 68
  • Biochemistry 45
  • Endocrinology, Diabetes and Metabolism 56
  • Pharmacology 56
  • Cancer Research 34
  • Genetics 23
Replace Hidetaka Sumiyoshi with:
Hidetaka Sumiyoshi Japan
E. S. Kim United States
Wen‐Jane Lee Taiwan
Pierre Fustier Switzerland
Shinobu Sakamoto Japan
A Piton France
A. Ruelland France
H. Fujitsuka Japan
Siegfried Vogl Germany
Hiroto Shima relative to Hidetaka Sumiyoshi Japan Hidetaka Sumiyoshi's profile →
Citations per field
00.5×3.3×
Hidetaka Sumiyoshi · 1×
Citations per year

Countries citing papers authored by Hiroto Shima

Since Specialization
Citations

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

Fields of papers citing papers by Hiroto Shima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hiroto Shima, 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 Hiroto Shima Line = papers co-authored together Hiroto Shima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198691
2 199077
3 198543
4 199716
5 198615
6 200313
7 20029
8 19929
9 19908
10 19868
11 19907
12
Inhibitory effects of polyprenoic acid (E-5166) on N-2-fluorenylacetamide-initiated hepatocarcinogenesis in rats.
19866
13 19866
14 19846
15 19945
16 19925
17 19844
18 19854
19 19853
20 19913

About Hiroto Shima

Hiroto Shima is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 348 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (7 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Viral-associated cancers and disorders (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Biochemistry (45 citations), Endocrinology, Diabetes and Metabolism (56 citations), Pharmacology (56 citations), Cancer Research (34 citations) and Genetics (23 citations). Hiroto Shima has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Takuji Tanaka, Masayoshi Takahashi, Hideki Mori, Shigeyuki Sugie, Hideki Mori, Naoki Yoshimi, Hitoshi Iwata, Akiyoshi Nishikawa, Shigenori NAKAMURA and Kazúo Kato. Their work appears in journals such as Carcinogenesis, Cancer Letters, Journal of neurosurgery, Journal of Gastroenterology and Diseases of the Colon & Rectum.

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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