Ken Sagou

29 total papers · 496 total citations
16 papers, 251 citations indexed

About

Ken Sagou is a scholar working on Hematology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ken Sagou has authored 16 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 5 papers in Oncology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ken Sagou's work include Hematopoietic Stem Cell Transplantation (8 papers), Acute Myeloid Leukemia Research (6 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). Ken Sagou is often cited by papers focused on Hematopoietic Stem Cell Transplantation (8 papers), Acute Myeloid Leukemia Research (6 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). Ken Sagou collaborates with scholars based in Japan, United States and Austria. Ken Sagou's co-authors include Takaki Miyata, Takeharu Nagai, Wen-Hong Li, Yu-Fen Chang, Tomoki Matsuda, Thomas E. Hughes, Yoshiyuki Arai, Yongxin Zhao, Aleksander Rebane and Mikhail Drobizhev and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS Pathogens.

In The Last Decade

Ken Sagou

15 papers receiving 249 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ken Sagou	128	92	48	28	22	16	251
J. Chamberlain	113 0.9×	84 0.9×	27 0.6×	80 2.9×	33 1.5×	18	320
Ting-Hao Huang	185 1.4×	40 0.4×	24 0.5×	8 0.3×	13 0.6×	20	313
Sibyl Drissler	104 0.8×	88 1.0×	10 0.2×	14 0.5×	32 1.5×	13	257
Ann L. Griffith	91 0.7×	29 0.3×	14 0.3×	16 0.6×	29 1.3×	23	297
Mark Soave	224 1.8×	99 1.1×	8 0.2×	17 0.6×	25 1.1×	17	278
Efthymia Tsina	195 1.5×	103 1.1×	33 0.7×	4 0.1×	11 0.5×	11	320
June Hoan Kim	111 0.9×	53 0.6×	52 1.1×	5 0.2×	3 0.1×	18	298
Yuhui Qiao	171 1.3×	74 0.8×	6 0.1×	5 0.2×	25 1.1×	10	308
Andrew L. Barlow	205 1.6×	27 0.3×	13 0.3×	6 0.2×	23 1.0×	11	320
Nan Jiang	105 0.8×	63 0.7×	30 0.6×	4 0.1×	15 0.7×	13	205

Countries citing papers authored by Ken Sagou

Since Specialization

Citations

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

Fields of papers citing papers by Ken Sagou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Sagou

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Sagou. A scholar is included among the top collaborators of Ken Sagou 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 Ken Sagou. Ken Sagou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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