Takafumi Ishida

17.0k citations
317 papers · 7.7k indexed · h-index 44

Takafumi Ishida

307 papers receiving 7.5k citations

Peers

Takafumi Ishida
Comparison fields: 5 of 175
  • Hepatology 572
  • Immunology 1.2k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Genetics 1.3k
  • Cancer Research 627
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Citations per year

Countries citing papers authored by Takafumi Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Takafumi Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202340
3 20232
4 20231
5 20222
6 202136
7 20215
8 202057
9 20207
10
Abstract 11808: Visit-to-visit Blood Pressure Variability Predicts Recurrence of Atrial Fibrillation in Patients With Hypertension
20190
11 201814
12 201811
13 201811
14
Genetic risk of DNA repair gene polymorphisms (XRCC1 and XRCC3) for high risk human papillomavirus negative cervical cancer in Northeast Thailand.
201132
15 200551
16 2003171
17
Effect of genetic and environmental factors on body measurements of Japanese Black bulls.
20001
18
Familial influence upon NaCl sensitivity in patients with essential hypertension.
199210
19
Mutational activation of K-ras gene is absent in human osteosarcoma
19915
20
Isolation of mouse hepatitis virus from infant mice with fatal diarrhea.
197823

About Takafumi Ishida

Takafumi Ishida is a scholar working on Developmental Biology, Cardiology and Cardiovascular Medicine and Immunology, having authored 317 papers that have together received 7.7k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (18 papers), Primate Behavior and Ecology (18 papers), Cardiovascular Function and Risk Factors (18 papers), T-cell and Retrovirus Studies (16 papers), Epigenetics and DNA Methylation (14 papers), Animal Disease Management and Epidemiology (14 papers), Heart Failure Treatment and Management (13 papers) and Viral-associated cancers and disorders (13 papers). The work is most often cited by research in Hepatology (572 citations), Immunology (1.2k citations) and Cardiology and Cardiovascular Medicine (1.1k citations). Takafumi Ishida has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Bradford C. Berk, Mari Ishida, Wannapa Settheetham‐Ishida, Danai Tiwawech, Yasuchika Takeishi, Masao Yoshizumi, Tetsuya Oshima, Akiomi Yoshihisa, Masafumi Takahashi and Hiroki Oota. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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