Miwa Kobayashi

2.6k citations
50 papers · 1.7k indexed · 1 hit paper · h-index 19
Topics
Dermatology and Skin Diseases (19 papers)T-cell and B-cell Immunology (7 papers)Asthma and respiratory diseases (6 papers)
Partner nations
JapanFranceUnited States

In The Last Decade

Miwa Kobayashi

49 papers receiving 1.7k citations

Hit Papers

Possible Pathogenic Role of Th17 Cells for Atopic Dermatitis20082026201420202008100200300400500

Peers

Miwa Kobayashi
Comparison fields: 5 of 102
  • Dermatology 1.0k
  • Immunology 654
  • Immunology and Allergy 496
  • Physiology 344
  • Oncology 183
Replace Kazunari Sugita with:
Kazunari Sugita Japan
Lianghua Bin United States
Xuan Li China
Rachid Tazi‐Ahnini United Kingdom
A Köck Austria
Richard S. Kalish United States
Lena Lundeberg Sweden
Juan Manuel Leyva-Castillo United States
Gulnar M. Shivji Canada
Anna De Benedetto United States
Miwa Kobayashi relative to Kazunari Sugita Japan Kazunari Sugita's profile →
Citations per field
00.5×1.6×
Kazunari Sugita · 1×
Citations per year

Countries citing papers authored by Miwa Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Miwa Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miwa Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Miwa Kobayashi. A scholar is included among the top collaborators of Miwa Kobayashi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miwa Kobayashi. Miwa Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 53
2 37
3 25
4 80
5 13
6 14
7 23
8 59
9 24
10
Possible Pathogenic Role of Th17 Cells for Atopic Dermatitisbreakdown →
532
11 12
12 47
13 0
14 1
15 17
16 24
17 23
18 12
19
2
20 25

About Miwa Kobayashi

Miwa Kobayashi is a scholar working on Dermatology, Immunology and Immunology and Allergy, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (19 papers), T-cell and B-cell Immunology (7 papers) and Asthma and respiratory diseases (6 papers). The work is most often cited by research in Dermatology (1.0k citations), Immunology and Allergy (496 citations) and Immunology (654 citations). Miwa Kobayashi has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Y. Tokura, Kenji Kabashima, Noriko Shiraishi, Chizuko Koga, Kazunari Sugita, Tomoko Mori, Takatoshi Shimauchi, Jun‐ichi Sakabe, Ryutaro Yoshiki and Motonobu Nakamura. Their work appears in journals such as Blood, Clinical Cancer Research and American Journal Of Pathology.

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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