Ken-ichi Sawada

473 total citations
9 papers, 396 citations indexed

About

Ken-ichi Sawada is a scholar working on Genetics, Physiology and Molecular Biology. According to data from OpenAlex, Ken-ichi Sawada has authored 9 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 4 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in Ken-ichi Sawada's work include Erythrocyte Function and Pathophysiology (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). Ken-ichi Sawada is often cited by papers focused on Erythrocyte Function and Pathophysiology (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). Ken-ichi Sawada collaborates with scholars based in Japan, Australia and Germany. Ken-ichi Sawada's co-authors include Ryo Ichinohasama, Yoshihiro Kameoka, Naoto Takahashi, Hiroyuki Tagawa, Norio Shimizu, Keiko Iwamoto, Atsushi Watanabe, Junsuke Yamashita, H Saitoh and Takao Koike and has published in prestigious journals such as Blood, Cancer Letters and Experimental Hematology.

In The Last Decade

Ken-ichi Sawada

9 papers receiving 388 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ken-ichi Sawada Japan	9	214	138	88	81	79	9	396
Mauro Pomati Italy	9	201 0.9×	79 0.6×	64 0.7×	91 1.1×	104 1.3×	18	428
Maurizio Trubia Italy	16	303 1.4×	107 0.8×	52 0.6×	79 1.0×	155 2.0×	18	615
Juhi Ojha United States	11	236 1.1×	50 0.4×	64 0.7×	171 2.1×	54 0.7×	15	539
Carl Hilliker Belgium	13	222 1.0×	65 0.5×	50 0.6×	22 0.3×	35 0.4×	23	416
Patricia S. Hähnel Germany	10	297 1.4×	58 0.4×	69 0.8×	53 0.7×	112 1.4×	13	513
Nicholas Bockett New Zealand	10	302 1.4×	80 0.6×	82 0.9×	38 0.5×	84 1.1×	21	497
Gedeon Loules Greece	11	82 0.4×	44 0.3×	164 1.9×	123 1.5×	46 0.6×	14	383
Lily Ramyar Canada	10	175 0.8×	78 0.6×	20 0.2×	62 0.8×	41 0.5×	14	583
Yehua Weng United States	7	268 1.3×	64 0.5×	35 0.4×	72 0.9×	41 0.5×	8	428

Countries citing papers authored by Ken-ichi Sawada

Since Specialization

Citations

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

Fields of papers citing papers by Ken-ichi Sawada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken-ichi Sawada

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

All Works

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9 of 9 papers shown

Tanaka, Ruriko, Shinya Kimura, Eishi Ashihara, et al.. (2011). Rapid automated detection of ABL kinase domain mutations in imatinib-resistant patients. Cancer Letters. 312(2). 228–234. 15 indexed citations

Togashi, Masaru, Hideki Wakui, Yoshihiro Kameoka, et al.. (2010). Angioimmunoblastic T-cell lymphoma and membranous nephropathy: a still unreported association. Clinical and Experimental Nephrology. 14(3). 288–293. 9 indexed citations

Kameoka, Yoshihiro, Naoto Takahashi, Atsushi Komatsuda, et al.. (2009). Kidney-limited intravascular large B cell lymphoma: a distinct variant of IVLBCL?. International Journal of Hematology. 89(4). 533–537. 17 indexed citations

Tagawa, Hiroyuki, Naoto Takahashi, Atsushi Watanabe, et al.. (2009). Aberrant overexpression of microRNAs activate AKT signaling via down-regulation of tumor suppressors in natural killer–cell lymphoma/leukemia. Blood. 114(15). 3265–3275. 175 indexed citations

Takahashi, Naoto, Ikuo Miura, Yoshimi Kobayashi, et al.. (2005). Fluorescence In Situ Hybridization Monitoring of BCR-ABL-Positive Neutrophils in Chronic-Phase Chronic Myeloid Leukemia Patients during the Primary Stage of Imatinib Mesylate Therapy. International Journal of Hematology. 81(3). 235–241. 8 indexed citations

Xiao, Weiguo, Kazuki Koizumi, Mitsufumi Nishio, et al.. (2002). Tumor necrosis factor-α inhibits generation of glycophorin A+ cells by CD34+ cells. Experimental Hematology. 30(11). 1238–1247. 39 indexed citations

Nishio, Hitoshi, Toshio Suda, Ken-ichi Sawada, et al.. (1999). Molecular cloning of cDNA encoding human Rab3D whose expression is upregulated with myeloid differentiation. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1444(2). 283–290. 10 indexed citations

Sawada, Ken-ichi, Atsushi Oda, Kazuki Koizumi, et al.. (1999). Phosphatidylinositol 3-Kinase Is Involved in the Protection of Primary Cultured Human Erythroid Precursor Cells From Apoptosis. Blood. 94(5). 1568–1577. 82 indexed citations

Inada, Tomohisa, Atsushi Iwama, Seiji Sakano, et al.. (1997). Selective Expression of the Receptor Tyrosine Kinase, HTK, on Human Erythroid Progenitor Cells. Blood. 89(8). 2757–2765. 41 indexed citations

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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