Akira Ōnishi

7.1k total citations · 1 hit paper
248 papers, 5.0k citations indexed

About

Akira Ōnishi is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Rheumatology. According to data from OpenAlex, Akira Ōnishi has authored 248 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 48 papers in Public Health, Environmental and Occupational Health and 47 papers in Rheumatology. Recurrent topics in Akira Ōnishi's work include Reproductive Biology and Fertility (43 papers), Rheumatoid Arthritis Research and Therapies (33 papers) and Animal Genetics and Reproduction (25 papers). Akira Ōnishi is often cited by papers focused on Reproductive Biology and Fertility (43 papers), Rheumatoid Arthritis Research and Therapies (33 papers) and Animal Genetics and Reproduction (25 papers). Akira Ōnishi collaborates with scholars based in Japan, United States and United Kingdom. Akira Ōnishi's co-authors include Masaki Iwamoto, Kumiko Takeda, Tomiji AKITA, Takashi Awata, Akio Morinobu, Anthony C.F. Perry, Satoshi Mikawa, Volker Vallon, Takashi Nagai and Shunichi Kumagai and has published in prestigious journals such as Science, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Akira Ōnishi

231 papers receiving 4.9k 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.

Pig Cloning by Microinjection of Fetal Fibroblast Nuclei

2000 660 citations Akira Ōnishi, Masaki Iwamoto et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Akira Ōnishi Japan	33	2.1k	1.5k	1.2k	893	483	248	5.0k
Sue A. Ingles United States	45	2.0k 0.9×	882 0.6×	1.6k 1.3×	626 0.7×	1.0k 2.1×	126	6.6k
Alan A. Arslan United States	44	1.4k 0.7×	1.4k 0.9×	1.2k 1.0×	389 0.4×	1.2k 2.5×	130	6.2k
Udo Jeschke Germany	44	3.0k 1.4×	975 0.6×	1.1k 0.9×	493 0.6×	374 0.8×	473	8.8k
William G. Newman United Kingdom	48	2.6k 1.2×	622 0.4×	2.5k 2.1×	785 0.9×	238 0.5×	275	7.5k
James H. Segars United States	53	2.2k 1.1×	1.9k 1.3×	1.4k 1.2×	520 0.6×	412 0.9×	282	9.0k
Stefano Landi Italy	46	2.9k 1.4×	476 0.3×	600 0.5×	811 0.9×	291 0.6×	245	6.8k
Seiichiro Fujimoto Japan	37	772 0.4×	712 0.5×	518 0.4×	512 0.6×	234 0.5×	177	4.5k
Sadao Kamidono Japan	42	2.2k 1.0×	625 0.4×	647 0.5×	1.8k 2.0×	310 0.6×	385	6.5k
Äkïhïko Okuyama Japan	50	3.3k 1.6×	1.3k 0.8×	1.4k 1.1×	1.9k 2.1×	1.0k 2.1×	479	9.4k
Mark A. Morgan United States	45	1.1k 0.5×	626 0.4×	739 0.6×	1.7k 1.9×	366 0.8×	201	6.8k

Countries citing papers authored by Akira Ōnishi

Since Specialization

Citations

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

Fields of papers citing papers by Akira Ōnishi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Ōnishi

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

All Works

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20 of 20 papers shown

Murata, Koichi, et al.. (2025). Factors Associated With Hallux Valgus Progression in Patients With Rheumatoid Arthritis: Insights From Non‐Weight‐Bearing Radiographs in the KURAMA Cohort. International Journal of Rheumatic Diseases. 28(2). e70131–e70131.

Yoshida, Akiko, Kosaku Murakami, Hirotake Tsukamoto, et al.. (2025). Anti-arthritic effects of polyunsaturated fatty acid–rich supplementation combined with selective soluble epoxide hydrolase inhibitors in a collagen-induced arthritis mouse model. Modern Rheumatology. 35(4). 665–676. 1 indexed citations

Murata, Koichi, Takayuki Fujii, Akira Ōnishi, et al.. (2024). Low Hounsfield unit values on computed tomography as a potential predictor of vertebral fracture in patients with rheumatoid arthritis: The KURAMA cohort study. International Journal of Rheumatic Diseases. 27(4). e15146–e15146. 2 indexed citations

Taniguchi, Tomoki, Ryosuke Hiwa, Mirei Shirakashi, et al.. (2024). Avacopan’s potential to decrease MPO-ANCA titres concurrent with ameliorated activity in ANCA-associated vasculitis. Modern Rheumatology Case Reports. 8(2). 314–317. 3 indexed citations

Ito, Hiromu, Masayuki Azukizawa, Koichi Murata, et al.. (2023). How do symptoms of each joint contribute to global pain, disease activity and functional disability in rheumatoid arthritis?—A comprehensive association study using a large cohort. PLoS ONE. 18(8). e0285227–e0285227.

Ōnishi, Akira, Wataru Yamamoto, Ryu Watanabe, et al.. (2023). Comparative effectiveness of biological disease-modifying antirheumatic drugs and Janus kinase inhibitor monotherapy in rheumatoid arthritis. Lara D. Veeken. 63(11). 3065–3073. 3 indexed citations

Murakami, Kosaku, Hideo Onizawa, Mirei Shirakashi, et al.. (2023). A case of atypical IgG4-related disease presenting hypereosinophilia, polyneuropathy, and liver dysfunction. Modern Rheumatology Case Reports. 8(1). 172–177.

Shiba, Hideyuki, Takuya Kotani, Koji Nagai, et al.. (2023). Prognostic Factors Affecting Death in Patients with Rheumatoid Arthritis Complicated by Pneumocystis jirovecii Pneumonia and One-Year Clinical Course: The ANSWER Cohort Study. International Journal of Molecular Sciences. 24(8). 7399–7399. 4 indexed citations

Etani, Yuki, Kosuke Ebina, Yasutaka Okita, et al.. (2023). AB0407 IMPACT OF SEROPOSITIVITY ON DRUG RETENTION OF BIOLOGICS AND JAK INHIBITORS -THE ANSWER COHORT STUDY. Annals of the Rheumatic Diseases. 82. 1389–1389. 1 indexed citations

10.

Hattori, Masaya, Diego Novick, Kana Takaura, et al.. (2021). A systematic literature review of prognostic factors in patients with HR+/HER2− advanced breast cancer in Japan. Japanese Journal of Clinical Oncology. 51(10). 1498–1508. 4 indexed citations

11.

Maeda, Yuichi, Tôru Hirano, Kosuke Ebina, et al.. (2021). Comparison of efficacy between anti-IL-6 receptor antibody and other biological disease-modifying antirheumatic drugs in the patients with rheumatoid arthritis who have knee joint involvement: the ANSWER cohort, retrospective study. Rheumatology International. 41(7). 1233–1241. 1 indexed citations

12.

Maeda, Yuichi, Tôru Hirano, Ryota Hara, et al.. (2020). THU0174 ANTI-IL-6 RECEPTOR ANTIBODY AMELIORATES DISEASE ACTIVITY OF RHEUMATOID ARTHRITIS PATIENTS WITH KNEE JOINT INVOLVEMENT -ANSWER COHORT STUDY-. Annals of the Rheumatic Diseases. 79. 302–303. 1 indexed citations

13.

Konishi, Hirokazu, Katsumi Miyauchi, Akira Ōnishi, et al.. (2020). Effect of pemafibrate (K-877), a novel selective peroxisome proliferator-activated receptor α modular (SPPARMα), in atherosclerosis model using low density lipoprotein receptor knock-out swine with balloon injury. PLoS ONE. 15(11). e0241195–e0241195. 15 indexed citations

14.

Kanai, Masashi, Kazuhiro P. Izawa, Miki Kobayashi, et al.. (2018). Effect of accelerometer-based feedback on physical activity in hospitalized patients with ischemic stroke: a randomized controlled trial. Clinical Rehabilitation. 32(8). 1047–1056. 36 indexed citations

15.

Kishida, Satoshi, Ping Mu, Shin Miyakawa, et al.. (2012). Midkine Promotes Neuroblastoma through Notch2 Signaling. Cancer Research. 73(4). 1318–1327. 50 indexed citations

16.

Ōnishi, Akira, Daisuke Sugiyama, Takashi Nakazawa, et al.. (2012). Mycophenolate mofetil versus intravenous cyclophosphamide for induction treatment of proliferative lupus nephritis in a Japanese population: a retrospective study. Modern Rheumatology. 23(1). 89–96. 9 indexed citations

17.

Takeda, Kumiko, Masaki Iwamoto, Akira Ōnishi, et al.. (2005). Microinjection of Cytoplasm or Mitochondria Derived from Somatic Cells Affects Parthenogenetic Development of Murine Oocytes1. Biology of Reproduction. 72(6). 1397–1404. 57 indexed citations

18.

Takeda, Kumiko, Satoshi Akagi, Seiya Takahashi, et al.. (2002). Mitochondrial Activity in Response to Serum Starvation in Bovine ( Bos taurus ) Cell Culture. Cloning and Stem Cells. 4(3). 223–229. 23 indexed citations

19.

Ōnishi, Akira. (2002). Cloning of Pigs from Somatic Cells and Its Prospects. Cloning and Stem Cells. 4(3). 253–259. 6 indexed citations

20.

Ōnishi, Akira. (1977). Global economic model for new international order. Hiroshima University Acedemic Information Repository (Hiroshima University). 1. 205–233. 5 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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