Etsuko Sekimoto

529 citations
21 papers · 318 · h-index 5

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 5
    • Blood Coagulation and Thrombosis Mechanisms 3
    • Platelet Disorders and Treatments 2
    • Glycosylation and Glycoproteins Research 3
    • Amyloidosis: Diagnosis, Treatment, Outcomes 2

Etsuko Sekimoto

17 papers receiving 315 citations

Peers

Etsuko Sekimoto
Comparison fields: 5 of 55
  • Hematology 180
  • Microbiology 6
  • Oncology 197
  • Molecular Biology 159
  • Genetics 21
Replace Jin Asano with:
Jin Asano Japan
Clive Buckle United Kingdom
Zvenyslava Husak Austria
E Martella Italy
Sandra Bašić‐Kinda Croatia
Yoshiaki Kuroda Japan
Hayley Ma United States
Sophia Balderman United States
Jean‐Valère Malfuson France
Magdalena Hinterbrandner Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Etsuko Sekimoto

Since Specialization
Citations

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

Fields of papers citing papers by Etsuko Sekimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005256
2 200720
3 201913
4 20136
5 20046
6 20173
7 20232
8 20232
9 20202
10 20151
11 20141
12 20041
13 20191
14 20161
15 20051
16 20041
17 20161
18 20190
19
[Rapidly progressive AL amyloidosis in a patient with relapsed multiple myeloma after achieving a complete response to tandem autologous PBSCT].
20130
20 20220

About Etsuko Sekimoto

Etsuko Sekimoto is a scholar working on Hematology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 21 papers that have together received 318 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Peptidase Inhibition and Analysis (4 papers), Glycosylation and Glycoproteins Research (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Hematology (180 citations), Microbiology (6 citations), Oncology (197 citations), Molecular Biology (159 citations) and Genetics (21 citations). Etsuko Sekimoto has collaborated with scholars based in Japan. Frequent co-authors include Shuji Ozaki, Hironobu Shibata, Masahiro Abe, Toshihiro Hashimoto, Toshio Matsumoto, Daisuke Inoue, Yoïchi Tanaka, Takashi Oshima, Tomoko Hara and Ken-ichi Kitazoe. Their work appears in journals such as Blood, International Journal of Hematology, Thrombosis Research, Cancer Research and Blood Coagulation & Fibrinolysis.

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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