Tomio Wada

587 citations
12 papers · 484 · h-index 7

Impact in

Papers in

    • Cancer Treatment and Pharmacology 7
    • HER2/EGFR in Cancer Research 4
    • Breast Cancer Treatment Studies 6

Tomio Wada

12 papers receiving 434 citations

Peers

Tomio Wada
Comparison fields: 5 of 57
  • Reproductive Medicine 110
  • Cancer Research 106
  • Public Health, Environmental and Occupational Health 158
  • Oncology 138
  • Pathology and Forensic Medicine 56
Replace Yukitoshi AOKI with:
Yukitoshi AOKI Japan
Kennedy Bj United States
S. Rogers United Kingdom
Edward B. Price United States
J.P. Droz France
Elie Antebi Israel
Samuel Kopel United States
Mitchell Loeb Norway
R. Timothy D. Oliver United Kingdom
Tomio Wada relative to Yukitoshi AOKI Japan Yukitoshi AOKI's profile →
Citations per field
00.5×1.5×
Yukitoshi AOKI · 1×
Citations per year

Countries citing papers authored by Tomio Wada

Since Specialization
Citations

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

Fields of papers citing papers by Tomio Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1977301
2 197539
3 199234
4 199334
5 198024
6 198519
7 199318
8 19817
9 19913
10 20042
11 19942
12 19951

About Tomio Wada

Tomio Wada is a scholar working on Oncology, Cancer Research, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 484 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (7 papers), Breast Cancer Treatment Studies (6 papers), HER2/EGFR in Cancer Research (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Breast Lesions and Carcinomas (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Ovarian cancer diagnosis and treatment (1 paper). The work is most often cited by research in Reproductive Medicine (110 citations), Cancer Research (106 citations), Public Health, Environmental and Occupational Health (158 citations), Oncology (138 citations) and Pathology and Forensic Medicine (56 citations). Tomio Wada has collaborated with scholars based in Japan. Frequent co-authors include Hiroki Koyama, Takeshi Iwanaga, Toshio Terasawa, Yukitoshi AOKI, Goro Kōsaki, Yukio Nishizawa, Akira Wada, Toshihide Yamamoto, Masahiro Watatani and Masayuki Yasutomi. Their work appears in journals such as Cancer, Breast Cancer Research and Treatment, Breast Cancer, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Surgery Today.

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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