Koichiro Muta

1.9k total citations
66 papers, 1.6k citations indexed

About

Koichiro Muta is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Koichiro Muta has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hematology, 19 papers in Molecular Biology and 18 papers in Immunology. Recurrent topics in Koichiro Muta's work include Erythrocyte Function and Pathophysiology (12 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Lymphoma Diagnosis and Treatment (8 papers). Koichiro Muta is often cited by papers focused on Erythrocyte Function and Pathophysiology (12 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Lymphoma Diagnosis and Treatment (8 papers). Koichiro Muta collaborates with scholars based in Japan, United States and Thailand. Koichiro Muta's co-authors include Hajime Nawata, Sanford B. Krantz, Yasunobu Abe, Junji Nishimura, Tsukuru Umemura, Koichi Ohshima, Takamitsu Matsushima, Takeshi Watanabe, Manabu Nakashima and Hiroshi Ideguchi and has published in prestigious journals such as Blood, Cancer and Biochemical Journal.

In The Last Decade

Koichiro Muta

65 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koichiro Muta Japan 19 505 362 318 284 250 66 1.6k
Youngil Koh South Korea 21 675 1.3× 121 0.3× 729 2.3× 353 1.2× 156 0.6× 143 1.7k
Matthew J. Barth United States 18 304 0.6× 385 1.1× 548 1.7× 86 0.3× 365 1.5× 72 1.2k
Hans‐Willem Snoeck United States 27 1.3k 2.5× 380 1.0× 335 1.1× 518 1.8× 37 0.1× 52 2.6k
Hiroto Kita Japan 36 445 0.9× 832 2.3× 527 1.7× 45 0.2× 195 0.8× 129 4.2k
Gregory A. Hair United States 21 595 1.2× 163 0.5× 149 0.5× 405 1.4× 319 1.3× 34 1.9k
Yousef Mortazavi Iran 24 788 1.6× 198 0.5× 141 0.4× 271 1.0× 79 0.3× 96 1.7k
Hanh Khuu United States 22 575 1.1× 329 0.9× 553 1.7× 291 1.0× 50 0.2× 44 1.5k
Constança Figueiredo Germany 26 787 1.6× 664 1.8× 463 1.5× 231 0.8× 52 0.2× 103 2.1k
Jun Ren China 22 542 1.1× 472 1.3× 674 2.1× 19 0.1× 58 0.2× 86 1.5k
Keigo Ikeda Japan 17 436 0.9× 207 0.6× 138 0.4× 52 0.2× 130 0.5× 111 1.5k

Countries citing papers authored by Koichiro Muta

Since Specialization
Citations

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

Fields of papers citing papers by Koichiro Muta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichiro Muta

This figure shows the co-authorship network connecting the top 25 collaborators of Koichiro Muta. A scholar is included among the top collaborators of Koichiro Muta 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 Koichiro Muta. Koichiro Muta 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
1.
Wilairat, Prapon, et al.. (2008). Inhibition of α-globin gene expression by RNAi. Biochemical and Biophysical Research Communications. 369(3). 935–938. 7 indexed citations
2.
3.
Fujii, Kei, Yuichi Yamada, Hiroyoshi Hattori, et al.. (2008). Frequent microsatellite instability in non-Hodgkin lymphomas irresponsive to chemotherapy. Leukemia Research. 32(8). 1183–1195. 13 indexed citations
4.
Abe, Yasunobu, et al.. (2007). Expression patterns of microRNAs 155 and 451 during normal human erythropoiesis. Biochemical and Biophysical Research Communications. 364(3). 509–514. 162 indexed citations
5.
Abe, Yasunobu, Tomomi Fujii, Masahiro Yamamoto, et al.. (2007). Mortalin is a novel mediator of erythropoietin signaling. European Journal Of Haematology. 79(2). 114–125. 13 indexed citations
6.
7.
Nakashima, Yasuhiro, Motoaki Shiratsuchi, Yasunobu Abe, et al.. (2005). Sustained molecular remission by non-myeloablative stem cell transplantation after autologous hematopoietic stem cell transplantation in a patient with multiple myeloma. Leukemia & lymphoma. 46(8). 1217–1222. 1 indexed citations
8.
Suehiro, Youko, Koichiro Muta, Manabu Nakashima, et al.. (2005). A novel mechanism in suppression of erythropoiesis during inflammation: a crucial role of RCAS1. European Journal Of Haematology. 74(5). 365–373. 16 indexed citations
9.
10.
Abe, Yasunobu, Koichi Ohshima, Manabu Nakashima, et al.. (2003). Expression of Apoptosis-Associated Protein RCAS1 in Macrophages of Histiocytic Necrotizing Lymphadenitis. International Journal of Hematology. 77(4). 359–363. 11 indexed citations
11.
Paiboonsukwong, Kittiphong, Ilseung Choi, Takamitsu Matsushima, et al.. (2003). The Signaling Pathways of Erythropoietin and Interferon-γ Differ in Preventing the Apoptosis of Mature Erythroid Progenitor Cells. International Journal of Hematology. 78(5). 421–428. 4 indexed citations
12.
Shiokawa, Satoshi, Takamitsu Matsushima, Ilseung Choi, et al.. (2003). Re‐entry of tumour B cells into the cycle of somatic mutation and isotype switching in follicular lymphoma. British Journal of Haematology. 120(3). 492–495. 1 indexed citations
13.
Abe, Yasunobu, et al.. (2001). Autoimmune Neutropenia With Cyclic Oscillation of Neutrophil Count After Steroid Administration. International Journal of Hematology. 73(3). 346–350. 6 indexed citations
14.
Abe, Yasunobu, Koichiro Muta, Koichi Ohshima, et al.. (2000). Subcutaneous panniculitis by Epstein-Barr virus-infected natural killer (NK) cell proliferation terminating in aggressive subcutaneous NK cell lymphoma. American Journal of Hematology. 64(3). 221–225. 16 indexed citations
15.
Yufu, Yuji, Yasunobu Abe, Koichiro Muta, et al.. (2000). Primary Macroglobulinemia with t(11;18)(q21;q21). Cancer Genetics and Cytogenetics. 117(2). 113–117. 17 indexed citations
16.
Suehiro, Youko, Koichiro Muta, Tsukuru Umemura, et al.. (1999). Macrophage inflammatory protein 1α enhances in a different manner adhesion of hematopoietic progenitor cells from bone marrow, cord blood, and mobilized peripheral blood. Experimental Hematology. 27(11). 1637–1645. 11 indexed citations
17.
Muta, Koichiro & Sanford B. Krantz. (1995). Inhibition of heme synthesis induces apoptosis in human erythroid progenitor cells. Journal of Cellular Physiology. 163(1). 38–50. 22 indexed citations
18.
Abe, Yasunobu, Koichiro Muta, Junji Nishimura, & Hajime Nawata. (1992). Regulation of transferrin receptors by iron in human erythroblasts. American Journal of Hematology. 40(4). 270–275. 8 indexed citations
19.
Muta, Koichiro, Junji Nishimura, Yasunobu Abe, & Hajime Nawata. (1990). Mechanism of Decrease in Transferrin Receptor Synthesis by Interferon-α Treated Human Lymphoblastoid Cells. Leukemia & lymphoma. 2(6). 427–432. 2 indexed citations
20.
Yokota, Masaki, Shigeru Sakamoto, Takashi Matsuura, et al.. (1986). A case of primary biliary cirrhosis with aortitis syndrome.. Kanzo. 27(2). 234–237. 3 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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