Kayo Togawa

3.9k citations
49 papers · 2.6k indexed · 1 hit paper · h-index 19

Kayo Togawa

46 papers receiving 2.6k citations

Hit Papers

Predicting Chemotherapy Toxicity in Older Adults With Can...1.2k20112026201620214008001.2k

Peers

Kayo Togawa
Comparison fields: 5 of 125
  • Geriatrics and Gerontology 872
  • Oncology 1.2k
  • Cancer Research 303
  • Physiology 522
  • Pulmonary and Respiratory Medicine 561
Replace Claire Falandry with:
Claire Falandry France
Kurt Hansen United States
Cynthia Owusu United States
Carolien H. Smorenburg Netherlands
Ulrich Wedding Germany
Maryska L.G. Janssen‐Heijnen Netherlands
Rupal Ramani United States
Lore Decoster Belgium
Vani Katheria United States
Lucia Fratino Italy
Kayo Togawa relative to Claire Falandry France Claire Falandry's profile →
Citations per field
00.5×1.5×
Claire Falandry · 1×
Citations per year

Countries citing papers authored by Kayo Togawa

Since Specialization
Citations

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

Fields of papers citing papers by Kayo Togawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20242
4 20245
5 20239
6 202312
7 20225
8 202129
9 20212
10 2020122
11 201816
12 201813
13 201713
14 201620
15 201331
16 201222
17
Predicting Chemotherapy Toxicity in Older Adults With Cancer: A Prospective Multicenter Studybreakdown →
20111248
18 20111
19 201022
20
[Chemotherapy of hyperthyroidism and its remission in Japan].
19741

About Kayo Togawa

Kayo Togawa is a scholar working on Geriatrics and Gerontology, Oncology and Cancer Research, having authored 49 papers that have together received 2.6k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (8 papers), Frailty in Older Adults (6 papers), Carcinogens and Genotoxicity Assessment (6 papers), Colorectal Cancer Screening and Detection (5 papers), Cancer survivorship and care (5 papers), Cancer Risks and Factors (4 papers), Occupational and environmental lung diseases (4 papers) and Smoking Behavior and Cessation (3 papers). The work is most often cited by research in Geriatrics and Gerontology (872 citations), Oncology (1.2k citations) and Cancer Research (303 citations). Kayo Togawa has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Arti Hurria, William P. Tew, Vani Katheria, Kurt Hansen, F. Lennie Wong, Ravi Bhatia, Supriya G. Mohile, Cynthia Owusu, Stuart M. Lichtman and Cary P. Gross. Their work appears in journals such as Journal of Clinical Oncology, Blood and 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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