Etsuo Kawada

504 citations
27 papers · 402 · h-index 7

Impact in

Papers in

    • Hemoglobinopathies and Related Disorders 3
    • Multiple Myeloma Research and Treatments 2

Etsuo Kawada

24 papers receiving 386 citations

Peers

Etsuo Kawada
Comparison fields: 5 of 104
  • Complementary and Manual Therapy 19
  • Materials Chemistry 178
  • Biomaterials 45
  • Genetics 29
  • Neurology 38
Replace Divya Bhatnagar with:
Divya Bhatnagar India
Donghui Song China
Fangchun Jin China
Myung Hun Kim South Korea
M. Böswald Germany
Eun Seok Kim South Korea
Mohammad Ali Ghavimi Iran
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Angelica Frausto United States
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Citations per field
00.5×6.3×
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Citations per year

Countries citing papers authored by Etsuo Kawada

Since Specialization
Citations

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

Fields of papers citing papers by Etsuo Kawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000241
2 200444
3 199237
4 199212
5 200610
6 19979
7 19928
8 19996
9 19944
10 19924
11 19914
12 20053
13 19913
14 20073
15 19862
16
A long-term survivor with malignant thymoma accompanied with pure red cell aplasia.
19922
17
Change in the thyroid function by use of deferoxamine in a patient with hemochromatosis complicated by hyperthyroidism.
19922
18 20021
19 19871
20 19991

About Etsuo Kawada

Etsuo Kawada is a scholar working on Genetics, Hematology, Molecular Biology, Epidemiology and Physiology, having authored 27 papers that have together received 402 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Trace Elements in Health (2 papers), Myasthenia Gravis and Thymoma (2 papers), Blood properties and coagulation (2 papers), Multiple Myeloma Research and Treatments (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Neurological and metabolic disorders (2 papers). The work is most often cited by research in Complementary and Manual Therapy (19 citations), Materials Chemistry (178 citations), Biomaterials (45 citations), Genetics (29 citations) and Neurology (38 citations). Etsuo Kawada has collaborated with scholars based in Japan. Frequent co-authors include Hirotaka Kojima, Shusaku Shoji, Takao Kokugan, Atsushi Hashimoto, Jun Sawai, M. Shimizu, Hideo Igarashi, Jun‐ichi Tamura, Hitoshi Kurabayashi and Kazuo Kubota. Their work appears in journals such as Annals of Hematology, Journal of Internal Medicine, Journal of Oral Rehabilitation, World Journal of Microbiology and Biotechnology and American Journal of Hematology.

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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