Sumiko Mikawa

1.5k citations
37 papers · 1.2k · h-index 18

Impact in

Papers in

    • TGF-β signaling in diseases 13
    • Developmental Biology and Gene Regulation 9
    • Hedgehog Signaling Pathway Studies 4
    • Muscle Physiology and Disorders 3
    • Neuroscience and Neuropharmacology Research 10
    • Axon Guidance and Neuronal Signaling 3

Sumiko Mikawa

35 papers receiving 1.2k citations

Peers

Sumiko Mikawa
Comparison fields: 5 of 96
  • Developmental Neuroscience 208
  • Cellular and Molecular Neuroscience 681
  • Neurology 204
  • Molecular Biology 717
  • Endocrine and Autonomic Systems 58
Replace Michael W. Susman with:
Michael W. Susman United States
Jean‐Luc Boulland Norway
Judith Thomas-Crusells Finland
José Á. Armengol Spain
David A. Rempe United States
Inbal Benhar Israel
Ingmar Bl�mcke Germany
Enrique Torre United States
Yukihiro Takayasu Japan
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Citations per field
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Citations per year

Countries citing papers authored by Sumiko Mikawa

Since Specialization
Citations

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

Fields of papers citing papers by Sumiko Mikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999221
2 1993124
3 1995108
4 2003106
5 200396
6 200280
7 200365
8 200438
9 200636
10 201034
11 200832
12 201131
13 199530
14 201026
15 200825
16 201823
17 202021
18 201119
19 201414
20 201613

About Sumiko Mikawa

Sumiko Mikawa is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Rheumatology and Physiology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (13 papers), Neuroscience and Neuropharmacology Research (10 papers), Developmental Biology and Gene Regulation (9 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Bone and Dental Protein Studies (5 papers), Hedgehog Signaling Pathway Studies (4 papers), Axon Guidance and Neuronal Signaling (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Developmental Neuroscience (208 citations), Cellular and Molecular Neuroscience (681 citations), Neurology (204 citations), Molecular Biology (717 citations) and Endocrine and Autonomic Systems (58 citations). Sumiko Mikawa has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Hirokazu Hirai, Kohji Sato, Shinji Matsuda, Yoshiyuki Kubota, Yasuo Kawaguchi, Kazu Nakazawa, Tsutomu Hashikawa, K. Sato, Masao Ito and Takatoshi Ueki. Their work appears in journals such as Neuroscience, Neuroreport, The Journal of Comparative Neurology, PLoS ONE and Blood.

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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