Akitoshi Hara

1.1k total citations
18 papers, 322 citations indexed

About

Akitoshi Hara is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Akitoshi Hara has authored 18 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 4 papers in Genetics. Recurrent topics in Akitoshi Hara's work include Cardiac Fibrosis and Remodeling (6 papers), Mesenchymal stem cell research (4 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Akitoshi Hara is often cited by papers focused on Cardiac Fibrosis and Remodeling (6 papers), Mesenchymal stem cell research (4 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Akitoshi Hara collaborates with scholars based in Japan, United States and Canada. Akitoshi Hara's co-authors include Katsuhiro Kato, Atsushi Enomoto, Yasuyuki Mizutani, Tomoya Yamaguchi, Michelle D. Tallquist, Takashi Nishimura, Tomonari Hamaguchi, Akihiro Iwamatsu, Kozo Kaibuchi and Masahide Takahashi and has published in prestigious journals such as Scientific Reports, European Respiratory Journal and Molecular Biology of the Cell.

In The Last Decade

Akitoshi Hara

15 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Akitoshi Hara Japan	9	158	90	60	40	39	18	322
Roland M. Huber Switzerland	9	285 1.8×	67 0.7×	39 0.7×	50 1.3×	45 1.2×	9	453
Frank Berkenfeld Germany	3	237 1.5×	36 0.4×	65 1.1×	39 1.0×	32 0.8×	6	346
Karen Beets Belgium	5	241 1.5×	36 0.4×	40 0.7×	39 1.0×	18 0.5×	6	379
José Gabriel Barcia Durán United States	8	242 1.5×	61 0.7×	107 1.8×	23 0.6×	31 0.8×	18	434
Kenyi Saito‐Diaz United States	11	326 2.1×	68 0.8×	36 0.6×	66 1.6×	56 1.4×	15	445
Irene García-Gónzalez Spain	7	246 1.6×	40 0.4×	55 0.9×	23 0.6×	15 0.4×	9	335
Hongryeol Park Germany	7	285 1.8×	34 0.4×	75 1.3×	39 1.0×	35 0.9×	10	447
Lau Blonden Netherlands	10	319 2.0×	44 0.5×	40 0.7×	24 0.6×	16 0.4×	11	429
Macarena Fernández-Chacón Spain	7	255 1.6×	40 0.4×	54 0.9×	22 0.6×	14 0.4×	8	346
Luiza Lousado Brazil	8	110 0.7×	75 0.8×	25 0.4×	27 0.7×	30 0.8×	8	283

Countries citing papers authored by Akitoshi Hara

Since Specialization

Citations

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

Fields of papers citing papers by Akitoshi Hara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akitoshi Hara

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

All Works

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18 of 18 papers shown

Nakamaru, Ryo, Akitoshi Hara, Yuji Yamada, Mitsuaki Sawano, & Kōichi Yamamoto. (2025). Ikigai in aging hearts: Japan’s approach to cardiovascular care. Hypertension Research. 48(12). 3172–3178.

Hara, Akitoshi, et al.. (2025). Loss of PKM2 dysregulates inflammatory signaling in the infarcted murine heart. Physiological Reports. 13(1). e70193–e70193. 3 indexed citations

Huang, Yibin, Yoichi Takami, Toshimasa Takahashi, et al.. (2025). Oxidized LDL enhances Gq signaling and aldosterone production by angiotensin II via the AT1-LOX-1 receptor complex in adrenal cells. Hypertension Research. 48(9). 2376–2386.

Ishihara, Toshikazu, Katsuhiro Kato, Miyako Tanaka, et al.. (2024). Meflin/ISLR is a marker of adipose stem and progenitor cells in mice and humans that suppresses white adipose tissue remodeling and fibrosis. Genes to Cells. 29(10). 902–920. 2 indexed citations

Hara, Akitoshi & Michelle D. Tallquist. (2023). Fibroblast and Immune Cell Cross-Talk in Cardiac Fibrosis. Current Cardiology Reports. 25(6). 485–493. 13 indexed citations

Kuwabara, Jill T., Akitoshi Hara, Sumit Bhutada, et al.. (2022). Consequences of PDGFRα+ fibroblast reduction in adult murine hearts. eLife. 11. 23 indexed citations

Hara, Akitoshi & Michelle D. Tallquist. (2022). Is disrupting cardiac fibrosis a rational strategy for treating heart disease?. Nature Cardiovascular Research. 1(5). 405–407. 1 indexed citations

Kuwabara, Jill T., Akitoshi Hara, Brisa Peña, et al.. (2022). Regulation of extracellular matrix composition by fibroblasts during perinatal cardiac maturation. Journal of Molecular and Cellular Cardiology. 169. 84–95. 15 indexed citations

Nakahara, Yoshio, Naozumi Hashimoto, Koji Sakamoto, et al.. (2021). Fibroblasts positive for meflin have anti-fibrotic properties in pulmonary fibrosis. European Respiratory Journal. 58(6). 2003397–2003397. 27 indexed citations

10.

Takahashi, Masahide, Hiroki Kobayashi, Yasuyuki Mizutani, et al.. (2021). Roles of the Mesenchymal Stromal/Stem Cell Marker Meflin/Islr in Cancer Fibrosis. Frontiers in Cell and Developmental Biology. 9. 749924–749924. 30 indexed citations

11.

Hara, Akitoshi, Katsuhiro Kato, Toshikazu Ishihara, et al.. (2021). Meflin defines mesenchymal stem cells and/or their early progenitors with multilineage differentiation capacity. Genes to Cells. 26(7). 495–512. 16 indexed citations

12.

Ohara, Yuuki, Atsushi Enomoto, Kotaro Sato, et al.. (2020). Connective tissue growth factor produced by cancer‑associated fibroblasts correlates with poor prognosis in epithelioid malignant pleural mesothelioma. Oncology Reports. 44(3). 838–848. 23 indexed citations

13.

Maeda, Keiko, Atsushi Enomoto, Akitoshi Hara, et al.. (2016). Identification of Meflin as a Potential Marker for Mesenchymal Stromal Cells. Scientific Reports. 6(1). 22288–22288. 71 indexed citations

14.

Kojima, Ikuho, Izumi Takei, Kazuo Umezawa, et al.. (2010). Rac1 regulates glucose-induced insulin secretion through the modulation of cytoskeletal organization in beta cells. Endocrine Journal. 57. 386. 1 indexed citations

15.

Nishimura, Takashi, Tomoya Yamaguchi, Akinori Tokunaga, et al.. (2006). Role of Numb in Dendritic Spine Development with a Cdc42 GEF Intersectin and EphB2. Molecular Biology of the Cell. 17(3). 1273–1285. 94 indexed citations

16.

Hara, Akitoshi, et al.. (1997). [A case of midbrain infarction with ipsilateral hand tremor].. PubMed. 49(11). 1033–1033. 1 indexed citations

17.

Hara, Akitoshi, et al.. (1989). [Massive pericardial effusion in a patient with scleroderma with special reference to concentration of alpha-hANP in plasma and pericardial effusion].. PubMed. 37(4). 449–53. 1 indexed citations

18.

Miyamae, Masami, et al.. (1987). [A case of secondary cardiomyopathy with pulmonary hypertension due to hyperthyroidism].. PubMed. 35(7). 771–4. 1 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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