Miki Kondo

1.2k citations
30 papers · 892 indexed · h-index 12
Topics
Systemic Sclerosis and Related Diseases (7 papers)Pain Management and Opioid Use (4 papers)Hematopoietic Stem Cell Transplantation (4 papers)
Partner nations
JapanUnited States

In The Last Decade

Miki Kondo

27 papers receiving 873 citations

Peers

Miki Kondo
Comparison fields: 5 of 78
  • Epidemiology 358
  • Molecular Biology 318
  • Rheumatology 237
  • Pathology and Forensic Medicine 219
  • Oncology 144
Replace Carmen Fonseca with:
Carmen Fonseca United Kingdom
R.M. duBois United Kingdom
Takaki Nojima Japan
Andreas Unger Germany
Fılız Bolat Türkiye
Sung Joo Kim South Korea
Iwao Nakayama Japan
Chanyuan Wu China
Soumya Chatterjee United States
Ana Ferrer Spain
Miki Kondo relative to Carmen Fonseca United Kingdom Carmen Fonseca's profile →
Citations per field
00.5×4.2×
Carmen Fonseca · 1×
Citations per year

Countries citing papers authored by Miki Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Miki Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miki Kondo

This figure shows the co-authorship network connecting the top 25 collaborators of Miki Kondo. A scholar is included among the top collaborators of Miki Kondo 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 Miki Kondo. Miki Kondo 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 0
2 1
3 1
4 2
5 9
6 0
7 8
8
[Long-term follow-up of patients undergoing allogeneic hematopoietic stem cell transplantation in Japan].
2
9 34
10 86
11 56
12
Clinical evaluation of anti-aminoacyl tRNA synthetase antibodies in Japanese patients with dermatomyositis.
62
13 5
14 15
15 219
16 8
17 96
18 7
19 2
20 13

About Miki Kondo

Miki Kondo is a scholar working on Anesthesiology and Pain Medicine, Pathology and Forensic Medicine and Hematology, having authored 30 papers that have together received 892 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (7 papers), Pain Management and Opioid Use (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). The work is most often cited by research in Dermatology (143 citations), Rheumatology (237 citations) and Pathology and Forensic Medicine (219 citations). Miki Kondo has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazuhiko Takehara, Manabu Fujimoto, Kohei Miyazono, Yasuhito Hamaguchi, Keiji Miyazawa, Shinichi Sato, Takashi Matsushita, Minoru Hasegawa, Kazuhiro Komura and F. Ogawa. Their work appears in journals such as Blood, Oncogene and Journal of Cellular Physiology.

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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