T. Hashida

412 citations
8 papers · 339 · h-index 7

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Adenosine and Purinergic Signaling
    • PARP inhibition in cancer therapy

Papers in

    • DNA Repair Mechanisms 3
    • Plant tissue culture and regeneration 3
    • DNA and Nucleic Acid Chemistry 2
    • Cancer therapeutics and mechanisms 2
    • RNA Interference and Gene Delivery 1
    • Toxin Mechanisms and Immunotoxins 3

T. Hashida

8 papers receiving 311 citations

Peers

T. Hashida
Comparison fields: 5 of 47
  • Physiology 92
  • Oncology 209
  • Immunology 90
  • Molecular Biology 262
  • Transplantation 3
Replace Phyllis L. Panzeter with:
Phyllis L. Panzeter Switzerland
Harikanth Venkannagari Finland
John G. Cryan United States
William R.A. Osborne United States
Hilda Mendoza‐Alvarez United States
L. Franco Italy
Uday Kiran Velagapudi United States
Felipe K. Hurtado United States
Walter Neupert Germany
Anca Niculae Germany
T. Hashida relative to Phyllis L. Panzeter Switzerland Phyllis L. Panzeter's profile →
Citations per field
00.5×1.5×
Phyllis L. Panzeter · 1×
Citations per year

Countries citing papers authored by T. Hashida

Since Specialization
Citations

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

Fields of papers citing papers by T. Hashida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside T. Hashida, 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. Hashida Line = papers co-authored together T. Hashida links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1977103
2 197891
3 198240
4 198140
5 197939
6 197913
7 19897
8 19826

About T. Hashida

T. Hashida is a scholar working on Molecular Biology, Immunology, Oncology, Organic Chemistry and Surgery, having authored 8 papers that have together received 339 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (3 papers), DNA Repair Mechanisms (3 papers), Plant tissue culture and regeneration (3 papers), DNA and Nucleic Acid Chemistry (2 papers), PARP inhibition in cancer therapy (2 papers), Cancer therapeutics and mechanisms (2 papers), Liver physiology and pathology (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Physiology (92 citations), Oncology (209 citations), Immunology (90 citations), Molecular Biology (262 citations) and Transplantation (3 citations). T. Hashida has collaborated with scholars based in Japan and United States. Frequent co-authors include Hajime Ohgushi, Yoshito Tanaka, K. Yoshihara, T. Kamiya, Koichiro Yoshihara, Yasuharu Tanaka, Norisada Matsunami, Atsushi Yamaguchi, Yoshinori Tanigawa and S. S. Koide. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Research in Experimental Medicine.

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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