Katsuyasu Saigo

2.5k citations
106 papers · 1.8k indexed · 1 hit paper · h-index 20
Topics
Platelet Disorders and Treatments (18 papers)Acute Myeloid Leukemia Research (17 papers)Hemoglobinopathies and Related Disorders (10 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBlood

In The Last Decade

Katsuyasu Saigo

105 papers receiving 1.8k citations

Hit Papers

Meta-analysis: Diagnostic Accuracy of Anti–Cyclic Citrull...20072026201320192007100200300400500

Peers

Katsuyasu Saigo
Comparison fields: 5 of 98
  • Hematology 609
  • Rheumatology 521
  • Molecular Biology 380
  • Immunology 346
  • Genetics 247
Replace Hirokazu Murakami with:
Hirokazu Murakami Japan
K.A. Rickard Australia
H. Kronenberg Australia
Toshihiko Hidaka Japan
Farhad Shahram Iran
S. J. Slichter United States
Andrew R. Crow Canada
Xiaodong Zhou United States
Edoardo Rossi Italy
Min‐Chan Park South Korea
Katsuyasu Saigo relative to Hirokazu Murakami Japan Hirokazu Murakami's profile →
Citations per field
00.5×1.5×2.4×
Hirokazu Murakami · 1×
Citations per year

Countries citing papers authored by Katsuyasu Saigo

Since Specialization
Citations

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

Fields of papers citing papers by Katsuyasu Saigo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuyasu Saigo

This figure shows the co-authorship network connecting the top 25 collaborators of Katsuyasu Saigo. A scholar is included among the top collaborators of Katsuyasu Saigo 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 Katsuyasu Saigo. Katsuyasu Saigo 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 12
2 6
3 56
4 2
5 9
6 1
7 0
8 8
9 18
10 36
11 4
12 1
13 2
14 2
15 2
16 62
17 3
18 76
19 31
20 10

About Katsuyasu Saigo

Katsuyasu Saigo is a scholar working on Hematology, Genetics and Immunology, having authored 106 papers that have together received 1.8k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (18 papers), Acute Myeloid Leukemia Research (17 papers) and Hemoglobinopathies and Related Disorders (10 papers). The work is most often cited by research in Hematology (609 citations), Rheumatology (521 citations) and Genetics (247 citations). Katsuyasu Saigo has collaborated with scholars based in Japan, United States and Nigeria. Frequent co-authors include Shunichi Kumagai, Seiji Kawano, Kunihiro Nishimura, Goh Tsuji, Takashi Nakazawa, Akio Morinobu, M. Koshiba, Yoshinori Kogata, Karen M. Kuntz and Daisuke Sugiyama. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología 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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