Atsushi Sugimura

2.6k total citations · 1 hit paper
13 papers, 2.3k citations indexed

About

Atsushi Sugimura is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Atsushi Sugimura has authored 13 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Hematology. Recurrent topics in Atsushi Sugimura's work include Effects and risks of endocrine disrupting chemicals (2 papers), Fibroblast Growth Factor Research (2 papers) and Platelet Disorders and Treatments (2 papers). Atsushi Sugimura is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (2 papers), Fibroblast Growth Factor Research (2 papers) and Platelet Disorders and Treatments (2 papers). Atsushi Sugimura collaborates with scholars based in Japan, United Kingdom and United States. Atsushi Sugimura's co-authors include Manabu Shimonishi, Shin Shimizu, Tatsuya Seki, Tsutomu Nishizawa, Kosuke Tashiro, Michio Hagiya, Toshikazu Nakamura, Izumi Ihara, Osamu Asami and Yoshimitsu Kiriyama and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Atsushi Sugimura

13 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular cloning and expression of human hepatocyte growth factor

1989 1.9k citations Tsutomu Nishizawa, Tatsuya Seki et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Atsushi Sugimura Japan	8	1.6k	988	871	387	265	13	2.3k
Katsuhiko Nawa Japan	10	1.2k 0.8×	877 0.9×	560 0.6×	391 1.0×	176 0.7×	16	1.8k
Robert C. Huebert United States	26	1.1k 0.7×	715 0.7×	841 1.0×	808 2.1×	248 0.9×	46	2.3k
Mariana D. Dabeva United States	23	1.7k 1.1×	1.7k 1.7×	881 1.0×	335 0.9×	340 1.3×	33	2.7k
Xinping Tan United States	17	800 0.5×	621 0.6×	1.2k 1.3×	259 0.7×	215 0.8×	20	1.9k
Davina Wojtacha United Kingdom	14	766 0.5×	768 0.8×	669 0.8×	327 0.8×	181 0.7×	20	1.6k
Toshiyuki Otsuka Japan	19	647 0.4×	249 0.3×	802 0.9×	207 0.5×	388 1.5×	40	1.6k
Wei‐Yu Lu United Kingdom	15	1000 0.6×	877 0.9×	476 0.5×	476 1.2×	185 0.7×	32	1.7k
Luke Boulter United Kingdom	22	1.8k 1.2×	1.5k 1.6×	1.2k 1.3×	1.0k 2.7×	497 1.9×	48	3.7k
Brigitte Bancel France	22	581 0.4×	494 0.5×	411 0.5×	456 1.2×	222 0.8×	68	1.6k
Chang-Goo Huh United States	9	478 0.3×	294 0.3×	508 0.6×	183 0.5×	184 0.7×	10	1.2k

Countries citing papers authored by Atsushi Sugimura

Since Specialization

Citations

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

Fields of papers citing papers by Atsushi Sugimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsushi Sugimura

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Tatemichi, Satoshi, Atsushi Sugimura, Ryûji Yamamoto, et al.. (2020). Physicochemical and biological evaluation of JR-131 as a biosimilar to a long-acting erythropoiesis-stimulating agent darbepoetin alfa. PLoS ONE. 15(4). e0231830–e0231830. 4 indexed citations

Sugimura, Atsushi, et al.. (2015). Host Cell Proteins: The Hidden Side of Biosimilarity Assessment. Journal of Pharmaceutical Sciences. 104(12). 3991–3996. 12 indexed citations

Sonoda, Hiroyuki, et al.. (2009). Efficient production of active Vibrio proteolyticus aminopeptidase in Escherichia coli by co-expression with engineered vibriolysin. Applied Microbiology and Biotechnology. 84(1). 191–198. 6 indexed citations

Sonoda, Hiroyuki & Atsushi Sugimura. (2008). Improved Solubilization of Recombinant Human Growth Hormone Inclusion Body Produced inEscherichia coli. Bioscience Biotechnology and Biochemistry. 72(10). 2675–2680. 12 indexed citations

Sonoda, Hiroyuki & Atsushi Sugimura. (2008). Extracellular production of active vibriolysin engineered by random mutagenesis in Escherichia coli. Protein Expression and Purification. 62(2). 153–159. 3 indexed citations

Matsuno, Yoshiharu, Tetsuya Adachi, Hideki Fukata, et al.. (2004). Effect of neonatal exposure to diethylstilbestrol on testicular gene expression in adult mouse: comprehensive analysis with cDNA subtraction method. International Journal of Andrology. 27(2). 115–122. 7 indexed citations

Adachi, Tetsuya, Yoshiharu Matsuno, Atsushi Sugimura, et al.. (2003). ADAM7 (a disintegrin and metalloprotease 7) mRNA is suppressed in mouse epididymis by neonatal exposure to Diethylstilbestrol. Molecular Reproduction and Development. 64(4). 414–421. 10 indexed citations

Sugimura, Atsushi, Yoshimitsu Kiriyama, Hiromi Nochi, et al.. (1999). Troglitazone Suppresses Cell Growth of Myeloid Leukemia Cell Lines by Induction of p21WAF1/CIP1 Cyclin-Dependent Kinase Inhibitor. Biochemical and Biophysical Research Communications. 261(3). 833–837. 70 indexed citations

Hiraoka, A, et al.. (1998). A Human Myeloid Cell Line Producing Stem Cell Growth Factor, KPB-M15, Secretes Another Growth Factor Active on Murine Hematopoietic Progenitor Cells. Acta Haematologica. 100(4). 174–180. 1 indexed citations

10.

Hiraoka, A, Atsushi Sugimura, Tatsuya Seki, et al.. (1997). Cloning, expression, and characterization of a cDNA encoding a novel human growth factor for primitive hematopoietic progenitor cells. Proceedings of the National Academy of Sciences. 94(14). 7577–7582. 65 indexed citations

11.

Sugimura, Atsushi. (1991). Congenic method to animal cell.3. Electric punch method.. KAGAKU TO SEIBUTSU. 29(1). 54–60. 1 indexed citations

12.

Seki, Tatsuya, Izumi Ihara, Atsushi Sugimura, et al.. (1990). Isolation and expression of cDNA for different forms of hepatocyte growth factor from human leukocyte. Biochemical and Biophysical Research Communications. 172(1). 321–327. 165 indexed citations

13.

Nishizawa, Tsutomu, Tatsuya Seki, Manabu Shimonishi, et al.. (1989). Molecular cloning and expression of human hepatocyte growth factor. Nature. 342(6248). 440–443. 1894 indexed citations breakdown →

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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