T. Kimura

446 citations
12 papers · 351 · h-index 8

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 1
    • Cancer therapeutics and mechanisms 1
    • Pancreatic function and diabetes 1
    • Pancreatitis Pathology and Treatment 1

T. Kimura

12 papers receiving 335 citations

Peers

T. Kimura
Comparison fields: 5 of 65
  • Hepatology 64
  • Nephrology 38
  • Oncology 74
  • Molecular Biology 167
  • Epidemiology 83
Replace Shigeaki KATO with:
Shigeaki KATO Japan
Aixu Sun United States
Nanwen Zhang China
Laurie Erickson United States
Shobha Gopalakrishnan United States
Yu Jung Heo South Korea
Tania Santodomingo-Garzón Canada
Si Guo China
Mai Kanai Japan
Deepali Tukaye United States
T. Kimura relative to Shigeaki KATO Japan Shigeaki KATO's profile →
Citations per field
00.5×1.5×2.1×
Shigeaki KATO · 1×
Citations per year

Countries citing papers authored by T. Kimura

Since Specialization
Citations

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

Fields of papers citing papers by T. Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 198292
2 199968
3 199454
4 199534
5 199628
6 198627
7
[Clinical evaluation of SPG (schizophyllan) as a therapeutic adjuvant after surgery of gastric cancer--controlled study by an envelope method].
198322
8 198115
9
[Clinical evaluation of schizophyllan (SPG) in advanced gastric cancer (the second report)--a randomized controlled study].
19855
10 19923
11
Characteristic behavior of serum elastase 1 in pancreatic cancer.
19912
12
[Ciliated hepatic foregut cyst and hepatic foregut cyst].
19951

About T. Kimura

T. Kimura is a scholar working on Molecular Biology, Surgery, Oncology, Physiology and Plant Science, having authored 12 papers that have together received 351 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (2 papers), Bone health and treatments (2 papers), Metabolism and Genetic Disorders (1 paper), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Genetic and Kidney Cyst Diseases (1 paper), Pancreatitis Pathology and Treatment (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Hepatology (64 citations), Nephrology (38 citations), Oncology (74 citations), Molecular Biology (167 citations) and Epidemiology (83 citations). T. Kimura has collaborated with scholars based in Japan and Germany. Frequent co-authors include Irene Schulz, Hideyuki Wakasugi, Andreas Kribben, Winfried Haase, R. Kaufmann, Kazuo Chihara, K. Imamura, M. Fukase, Masanori Kanatani and A. Miyauchi. Their work appears in journals such as Endocrinology, The Journal of Membrane Biology, Gut, American Journal of Physiology-Gastrointestinal and Liver Physiology and Scandinavian Journal of Gastroenterology.

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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