Osamu Baba

2.4k total citations
41 papers, 1.4k citations indexed

About

Osamu Baba is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, Osamu Baba has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Cancer Research and 6 papers in Materials Chemistry. Recurrent topics in Osamu Baba's work include MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (8 papers) and Circular RNAs in diseases (8 papers). Osamu Baba is often cited by papers focused on MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (8 papers) and Circular RNAs in diseases (8 papers). Osamu Baba collaborates with scholars based in Japan, United States and United Kingdom. Osamu Baba's co-authors include Koh Ono, Takahiro Horie, Yasuhide Kuwabara, Gunzi Saito, Yukihiro Yoshida, Toru Kita, Shin Watanabe, Takeshi Kimura, Minako Kinoshita and Hitoo Nishi and has published in prestigious journals such as PLoS ONE, Circulation Research and Molecular and Cellular Biology.

In The Last Decade

Osamu Baba

35 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Osamu Baba Japan 15 802 681 239 211 151 41 1.4k
Qin Yang China 20 760 0.9× 415 0.6× 13 0.1× 123 0.6× 92 0.6× 61 1.5k
Haochen Yu China 18 468 0.6× 252 0.4× 23 0.1× 72 0.3× 59 0.4× 54 1.2k
Marcin Serocki Poland 13 356 0.4× 342 0.5× 36 0.2× 48 0.2× 31 0.2× 20 803
Paloma Navarro Spain 20 549 0.7× 110 0.2× 55 0.2× 271 1.3× 134 0.9× 54 1.6k
Xianming Wang China 21 553 0.7× 195 0.3× 48 0.2× 15 0.1× 158 1.0× 77 1.7k
Hui Xin China 20 395 0.5× 224 0.3× 57 0.2× 33 0.2× 96 0.6× 66 976
Yanling Han China 21 380 0.5× 102 0.1× 58 0.2× 137 0.6× 30 0.2× 68 1.4k
Zhiwen Fan China 29 835 1.0× 222 0.3× 74 0.3× 20 0.1× 173 1.1× 83 2.0k
Jingyi Hu China 15 211 0.3× 126 0.2× 28 0.1× 79 0.4× 300 2.0× 47 901
Fei Tian China 28 485 0.6× 163 0.2× 45 0.2× 24 0.1× 106 0.7× 102 2.0k

Countries citing papers authored by Osamu Baba

Since Specialization
Citations

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

Fields of papers citing papers by Osamu Baba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Osamu Baba

This figure shows the co-authorship network connecting the top 25 collaborators of Osamu Baba. A scholar is included among the top collaborators of Osamu Baba 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 Osamu Baba. Osamu Baba 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.
Horie, Takahiro, et al.. (2025). Critical Role of microRNA-33a/b in Cardiovascular and Metabolic Disease: Molecular Mechanisms and Therapeutic Perspectives. Journal of Atherosclerosis and Thrombosis. 33(1). 13–19.
2.
Shiomi, Hiroki, Yugo Yamashita, Satoshi Koyama, et al.. (2024). CRISPR-Cas9-guided amplification-free genomic diagnosis for familial hypercholesterolemia using nanopore sequencing. PLoS ONE. 19(3). e0297231–e0297231. 5 indexed citations
3.
Yamasaki, Tomohiro, Takahiro Horie, Satoshi Koyama, et al.. (2022). Inhibition of microRNA-33b specifically ameliorates abdominal aortic aneurysm formation via suppression of inflammatory pathways. Scientific Reports. 12(1). 11984–11984. 7 indexed citations
4.
Kimura, Masahiro, Takahiro Horie, Osamu Baba, et al.. (2020). Homeobox A4 suppresses vascular remodeling by repressing YAP / TEAD transcriptional activity. EMBO Reports. 21(4). e48389–e48389. 22 indexed citations
5.
Ono, Koh, Takahiro Horie, Osamu Baba, et al.. (2020). Functional non‐coding RNAs in vascular diseases. FEBS Journal. 288(22). 6315–6330. 10 indexed citations
6.
Nakazeki, Fumiko, Masataka Nishiga, Takahiro Horie, et al.. (2018). Loss of periostin ameliorates adipose tissue inflammation and fibrosis in vivo. Scientific Reports. 8(1). 8553–8553. 25 indexed citations
7.
Hakuno, Daihiko, Masahiro Kimura, Shinji Ito, et al.. (2018). Hepatokine α1-Microglobulin Signaling Exacerbates Inflammation and Disturbs Fibrotic Repair in Mouse Myocardial Infarction. Scientific Reports. 8(1). 16749–16749. 12 indexed citations
8.
Izuhara, Masayasu, Yasuhide Kuwabara, Naritatsu Saito, et al.. (2017). Prevention of neointimal formation using miRNA-126-containing nanoparticle-conjugated stents in a rabbit model. PLoS ONE. 12(3). e0172798–e0172798. 30 indexed citations
9.
Koyama, Satoshi, Yukihito Sato, Yasuhide Kuwabara, et al.. (2016). Dynamic Changes of Serum microRNA-122-5p Through Therapeutic Courses Indicates Amelioration of Acute Liver Injury Accompanied by Acute Cardiac Decompensation. ESC Heart Failure. 4(2). 112–121. 13 indexed citations
10.
Miyamoto, Shoichi, Shunsuke Usami, Yasuhide Kuwabara, et al.. (2015). Expression Patterns of miRNA-423-5p in the Serum and Pericardial Fluid in Patients Undergoing Cardiac Surgery. PLoS ONE. 10(11). e0142904–e0142904. 27 indexed citations
11.
12.
13.
Horie, Takahiro, Osamu Baba, Yasuhide Kuwabara, et al.. (2013). MicroRNAs and Lipoprotein Metabolism. Journal of Atherosclerosis and Thrombosis. 21(1). 17–22. 19 indexed citations
14.
Sowa, Naoya, Takahiro Horie, Yasuhide Kuwabara, et al.. (2012). MicroRNA 26b encoded by the intron of small CTD phosphatase (SCP) 1 has an antagonistic effect on its host gene. Journal of Cellular Biochemistry. 113(11). 3455–3465. 14 indexed citations
15.
Horie, Takahiro, Osamu Baba, Yasuhide Kuwabara, et al.. (2012). MicroRNA‐33 Deficiency Reduces the Progression of Atherosclerotic Plaque in ApoE −/− Mice. Journal of the American Heart Association. 1(6). e003376–e003376. 179 indexed citations
16.
Kuwabara, Yasuhide, Koh Ono, Takahiro Horie, et al.. (2011). Increased MicroRNA-1 and MicroRNA-133a Levels in Serum of Patients With Cardiovascular Disease Indicate Myocardial Damage. Circulation Cardiovascular Genetics. 4(4). 446–454. 478 indexed citations
17.
Tanaka, Toshiyuki, et al.. (1994). Present status of High-temperature engineering Test Reactor (HTTR) program. Transactions of the American Nuclear Society. 70. 297. 2 indexed citations
18.
Tadokoro, Tadahiro, et al.. (1993). Loss of Vitamins from Cabbage.. Nippon Eiyo Shokuryo Gakkaishi. 46(2). 175–178. 3 indexed citations
19.
Baba, Osamu, et al.. (1989). Comparison of total ascorbic acid values in food by 2,4-dinitrophenylhydrazine method, α,α'-dipyridyl method and high-performance liquid chromatography. 63(10). 497–502. 2 indexed citations
20.
Yamauchi, Masashige, et al.. (1983). Hetero-Diels–Alder reactions of 2-methylene-1,3-dicarbonyl compounds with alkyl vinyl ethers. Journal of the Chemical Society Chemical Communications. 281–282. 24 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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