T Igarashi

810 citations
15 papers · 690 · h-index 7

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • Immune cells in cancer
    • NF-κB Signaling Pathways

Papers in

T Igarashi

14 papers receiving 677 citations

Peers

T Igarashi
Comparison fields: 5 of 91
  • Immunology 226
  • Cancer Research 127
  • Oncology 158
  • Immunology and Allergy 27
  • Cell Biology 64
Replace Wei Jia with:
Wei Jia United States
Rika Ouchida Japan
Jin He China
Julien Giron‐Michel France
Kiichi Murakami Canada
Anke Zobywalski Germany
T A McCaffrey United States
Adedayo Hanidu United States
Izortze Santín Spain
Prabakaran Kesavan United States
T Igarashi relative to Wei Jia United States Wei Jia's profile →
Citations per field
00.5×1.5×
Wei Jia · 1×
Citations per year

Countries citing papers authored by T Igarashi

Since Specialization
Citations

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

Fields of papers citing papers by T Igarashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1994468
2 2007114
3 200836
4 200627
5 198214
6
Application of newly synthesized 1-34 human parathyroid hormone for diagnostic tests.
198210
7
Squamous metaplasia of the trigone in women with recurrent cystitis syndrome.
19856
8
The Takadomari Serpentinites in the Kamuikotan Ophiolite Belt, Hokkaido, Japan
19853
9 20003
10 20163
11
WoodWeaver: Fabricating curved objects without moulds or glue
20132
12 19961
13 20211
14 20201
15 20021

About T Igarashi

T Igarashi is a scholar working on Surgery, Oncology, Epidemiology, Molecular Biology and Neurology, having authored 15 papers that have together received 690 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (2 papers), Neuroendocrine Tumor Research Advances (2 papers), DNA Repair Mechanisms (1 paper), S100 Proteins and Annexins (1 paper), Neurofibromatosis and Schwannoma Cases (1 paper), Inflammatory mediators and NSAID effects (1 paper), Geological and Geochemical Analysis (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Immunology (226 citations), Cancer Research (127 citations), Oncology (158 citations), Immunology and Allergy (27 citations) and Cell Biology (64 citations). T Igarashi has collaborated with scholars based in Japan. Frequent co-authors include Keita Okuda, Atsushi Ueda, Sho Ohno, Yoshiaki Ishigatsubo, Tatsunori Okubo, Jun Fukushima, Kayoko Matsunaga, Kimitoshi Kohno, Yutaka Otsuji and Hiroto Izumi. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, The American Journal of Surgical Pathology, Pathology International, Plant and Cell Physiology and The Journal of Immunology.

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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