Eiwa Ishida

1.7k citations
52 papers · 1.4k · h-index 24

Impact in

    • Cancer-related molecular mechanisms research
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

Eiwa Ishida

51 papers receiving 1.4k citations

Peers

Eiwa Ishida
Comparison fields: 5 of 81
  • Cancer Research 297
  • Genetics 166
  • Molecular Biology 930
  • Oncology 356
  • Immunology and Allergy 64
Replace Dakeun Lee with:
Dakeun Lee South Korea
Yvonne T.M. Tsang United States
Helen J. Huang United States
Armelle Logié United Kingdom
Bin Shi China
John Winstanley United Kingdom
Susan Korenchuk United States
Allie H. Grossmann United States
Carlos García-Echeverría Switzerland
Francesco Atzori Italy
Eiwa Ishida relative to Dakeun Lee South Korea Dakeun Lee's profile →
Citations per field
00.5×1.5×
Dakeun Lee · 1×
Citations per year

Countries citing papers authored by Eiwa Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Eiwa Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Novel tumor suppressor loci on 6q22-23 in primary central nervous system lymphomas.
200398
2 200784
3 200578
4
Frequent alterations of the p14(ARF) and p16(INK4a) genes in primary central nervous system lymphomas.
200175
5 200271
6 200566
7 200766
8 200461
9 200258
10 200244
11 200542
12 200639
13 200838
14 200336
15 200334
16 200633
17 200532
18 200628
19
Alterations of p14ARF and p16INK4a genes in salivary gland carcinomas.
200327
20 200526

About Eiwa Ishida

Eiwa Ishida is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Surgery, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), Prostate Cancer Treatment and Research (10 papers), Cancer-related Molecular Pathways (10 papers), Cell death mechanisms and regulation (8 papers), Cancer-related gene regulation (4 papers), Glioma Diagnosis and Treatment (4 papers), Melanoma and MAPK Pathways (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (297 citations), Genetics (166 citations), Molecular Biology (930 citations), Oncology (356 citations) and Immunology and Allergy (64 citations). Eiwa Ishida has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Keiji Shimada, Mitsutoshi Nakamura, Noboru Konishi, Munehiro Kishi, Hiroyuki Nakase, Toshisuke Sakaki, Tomonori Higuchi, M Nishimine, N Konishi and Kazutake Tsujikawa. Their work appears in journals such as Pathology International, Molecular Carcinogenesis, Pathobiology, Cancer Science and Clinical Cancer Research.

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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