Etsuo Kawada

499 citations
25 papers · 394 · h-index 7

Impact in

Papers in

Etsuo Kawada

22 papers receiving 378 citations

Peers

Etsuo Kawada
Comparison fields: 5 of 103
  • Complementary and Manual Therapy 19
  • Materials Chemistry 175
  • Biomaterials 45
  • Genetics 30
  • Neurology 40
Replace Myung Hun Kim with:
Myung Hun Kim South Korea
Divya Bhatnagar India
M. Böswald Germany
Mehmet Ali Onur Türkiye
Tung‐Yi Lin Taiwan
Lisha Yu China
Marc Praetner Germany
Subhasis Roy India
Xueyong Li China
Dong‐Wan Kang South Korea
Etsuo Kawada relative to Myung Hun Kim South Korea Myung Hun Kim's profile →
Citations per field
00.5×3.8×
Myung Hun Kim · 1×
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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000236
2 200444
3 199236
4 199212
5 200610
6 19979
7 19928
8 19996
9 19944
10 19914
11 19924
12 20073
13 20053
14 19913
15
A long-term survivor with malignant thymoma accompanied with pure red cell aplasia.
19922
16 19862
17
Change in the thyroid function by use of deferoxamine in a patient with hemochromatosis complicated by hyperthyroidism.
19922
18 20021
19 19991
20
[A case of adult idiopathic thrombocytopenic purpura associated with atypical mumps virus infection].
19971

About Etsuo Kawada

Etsuo Kawada is a scholar working on Genetics, Hematology, Molecular Biology, Epidemiology and Rheumatology, having authored 25 papers that have together received 394 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Trace Elements in Health (2 papers), Myasthenia Gravis and Thymoma (2 papers), Blood properties and coagulation (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 (175 citations), Biomaterials (45 citations), Genetics (30 citations) and Neurology (40 citations). Etsuo Kawada has collaborated with scholars based in Japan. Frequent co-authors include Hirotaka Kojima, Hideo Igarashi, Takao Kokugan, Jun Sawai, Shusaku Shoji, Atsushi Hashimoto, M. Shimizu, Jun‐ichi Tamura, Hitoshi Kurabayashi and Kazuo Kubota. Their work appears in journals such as Annals of Hematology, British Journal of Haematology, Annals of Nutrition and Metabolism, Leukemia Research and Life Sciences.

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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