H. Iwase

517 citations
17 papers · 447 · h-index 7

Impact in

  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways
    • Cytokine Signaling Pathways and Interactions
  • Genetics top 10%
    • Estrogen and related hormone effects

Papers in

    • PI3K/AKT/mTOR signaling in cancer 3
    • HER2/EGFR in Cancer Research 4
    • Colorectal Cancer Treatments and Studies 2
    • Cancer Treatment and Pharmacology 2

H. Iwase

17 papers receiving 438 citations

Peers

H. Iwase
Comparison fields: 5 of 50
  • Oncology 239
  • Genetics 221
  • Cancer Research 106
  • Pathology and Forensic Medicine 89
  • Pulmonary and Respiratory Medicine 124
Replace C S Verrier with:
C S Verrier United States
Joanna Matyjasik Poland
Hiroyuki Ohata Japan
Tatiana de Almeida Simão Brazil
Kailas Munot United Kingdom
PD Pharoah United Kingdom
Mia M. Gaudet United States
Beatrice Babbs United States
K E Driver United Kingdom
Shunchao Yan China
H. Iwase relative to C S Verrier United States C S Verrier's profile →
Citations per field
00.5×3.8×
C S Verrier · 1×
Citations per year

Countries citing papers authored by H. Iwase

Since Specialization
Citations

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

Fields of papers citing papers by H. Iwase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2001175
2 200875
3 199652
4 199651
5 199333
6 199224
7 199815
8 19975
9 20123
10 19993
11 20052
12 20052
13 20082
14 19992
15
[Clinical value of gene diagnosis in breast cancer].
19981
16 20111
17 20081

About H. Iwase

H. Iwase is a scholar working on Molecular Biology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 17 papers that have together received 447 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), HER2/EGFR in Cancer Research (4 papers), Breast Cancer Treatment Studies (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Cancer Treatment and Pharmacology (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Oncology (239 citations), Genetics (221 citations), Cancer Research (106 citations), Pathology and Forensic Medicine (89 citations) and Pulmonary and Respiratory Medicine (124 citations). H. Iwase has collaborated with scholars based in Japan, United Kingdom and Sweden. Frequent co-authors include Yoshitaka Fujii, Shunzo Kobayashi, Hiroko Yamashita, Tatsuya Toyama, Yuichi Ishikawa, Takao Yamori, Margaret Warner, Shinichi Hayashi, Ken Nakagawa and Jan-Ακε Gustafsson. Their work appears in journals such as Journal of Clinical Oncology, Breast Cancer, Cancer Letters, International Journal of Cancer and Endocrine Related Cancer.

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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