Manando Nakasaki

889 total citations
21 papers, 635 citations indexed

About

Manando Nakasaki is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Manando Nakasaki has authored 21 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Manando Nakasaki's work include Bone Metabolism and Diseases (3 papers), Bone Tissue Engineering Materials (2 papers) and Vitamin D Research Studies (2 papers). Manando Nakasaki is often cited by papers focused on Bone Metabolism and Diseases (3 papers), Bone Tissue Engineering Materials (2 papers) and Vitamin D Research Studies (2 papers). Manando Nakasaki collaborates with scholars based in United States, Japan and India. Manando Nakasaki's co-authors include Shyni Varghese, Colin Jamora, Yu‐Ru V. Shih, Kazuyuki Itoh, Kiyoko Yoshioka, Shih‐Wei Chen, Mengqian Liu, Heemin Kang, Hideki Yoshikawa and Yasuhide Miyamoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Gastroenterology.

In The Last Decade

Manando Nakasaki

21 papers receiving 628 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Manando Nakasaki 263 129 80 78 76 21 635
Feng‐Lai Yuan 284 1.1× 113 0.9× 104 1.3× 32 0.4× 80 1.1× 27 738
Claudio Corallo 228 0.9× 136 1.1× 83 1.0× 21 0.3× 93 1.2× 32 770
Tatyana Yufit 273 1.0× 68 0.5× 104 1.3× 63 0.8× 284 3.7× 18 1.3k
Kosuke Yamaga 229 0.9× 77 0.6× 204 2.5× 169 2.2× 82 1.1× 9 797
Zhigang Yang 300 1.1× 77 0.6× 38 0.5× 33 0.4× 98 1.3× 45 733
Lei Hu 402 1.5× 153 1.2× 54 0.7× 34 0.4× 188 2.5× 65 1.1k
Nicolas Védrenne 198 0.8× 52 0.4× 33 0.4× 45 0.6× 85 1.1× 18 544
Yingbin Xu 305 1.2× 81 0.6× 173 2.2× 58 0.7× 208 2.7× 29 1.0k
Yoon Young Kim 618 2.3× 125 1.0× 45 0.6× 66 0.8× 234 3.1× 56 1.2k

Countries citing papers authored by Manando Nakasaki

Since Specialization
Citations

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

Fields of papers citing papers by Manando Nakasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manando Nakasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Manando Nakasaki. A scholar is included among the top collaborators of Manando Nakasaki 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 Manando Nakasaki. Manando Nakasaki 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
2.
Tang, Jack Pengfei, Serena Lofftus, Lucia Chen, et al.. (2023). IGF2BP3 as a Prognostic Biomarker in Well-Differentiated/Dedifferentiated Liposarcoma. Cancers. 15(18). 4489–4489. 3 indexed citations
3.
Khan, Jaffar M., Hassan Nasir, Manando Nakasaki, et al.. (2023). Primary cardiac sarcoma: demographics, genomic study correlation, and survival benefits of surgery with adjuvant therapy in U.S. population. Clinical Research in Cardiology. 113(5). 694–705. 3 indexed citations
4.
Han, Albert Y., et al.. (2022). Solitary Fibrous Tumors of the Head and Neck: A Single‐Institution Study of 52 Patients. OTO Open. 6(3). 2473974X221098709–2473974X221098709. 7 indexed citations
5.
Lakshmanan, Vairavan, Ryan G. Lim, Shimin Le, et al.. (2021). Mechanical instability of adherens junctions overrides intrinsic quiescence of hair follicle stem cells. Developmental Cell. 56(6). 761–780.e7. 18 indexed citations
6.
Skupsky, Jonathan, Subrata Sabui, Manando Nakasaki, et al.. (2019). Su1817 – Biotin Supplementation Ameliorates Murine Colitis by Maintaining Intestinal Mucosal Integrity. Gastroenterology. 156(6). S–623. 1 indexed citations
7.
Shih, Yu‐Ru V., et al.. (2018). Mineralized Biomaterials Mediated Repair of Bone Defects Through Endogenous Cells. Tissue Engineering Part A. 24(13-14). 1148–1156. 30 indexed citations
8.
Liu, Mengqian, Manando Nakasaki, Yu‐Ru V. Shih, & Shyni Varghese. (2018). Effect of age on biomaterial-mediated in situ bone tissue regeneration. Acta Biomaterialia. 78. 329–340. 36 indexed citations
9.
Nakasaki, Manando, et al.. (2018). Diagnosis of paraganglioma as a pancreatic mass: A case report. Diagnostic Cytopathology. 46(9). 804–806. 15 indexed citations
10.
Hau, Andrew M., et al.. (2017). Differential mTOR pathway profiles in bladder cancer cell line subtypes to predict sensitivity to mTOR inhibition. Urologic Oncology Seminars and Original Investigations. 35(10). 593–599. 13 indexed citations
11.
Kawakami, Yuko, Tomoaki Ando, Gisen Kim, et al.. (2016). Defective natural killer cell activity in a mouse model of eczema herpeticum. Journal of Allergy and Clinical Immunology. 139(3). 997–1006.e10. 19 indexed citations
12.
Kang, Heemin, et al.. (2016). Small molecule–driven direct conversion of human pluripotent stem cells into functional osteoblasts. Science Advances. 2(8). e1600691–e1600691. 70 indexed citations
13.
Du, Fei, Shih‐Wei Chen, Manando Nakasaki, et al.. (2015). Regulation and Function of the Caspase-1 in an Inflammatory Microenvironment. Journal of Investigative Dermatology. 135(8). 2012–2020. 59 indexed citations
14.
Nakasaki, Manando, Yongsung Hwang, Yun Xie, et al.. (2015). The matrix protein Fibulin-5 is at the interface of tissue stiffness and inflammation in fibrosis. Nature Communications. 6(1). 8574–8574. 64 indexed citations
15.
Kim, J., et al.. (2014). p53 induces skin aging by depleting Blimp1+ sebaceous gland cells. Cell Death and Disease. 5(3). e1141–e1141. 38 indexed citations
16.
Cowburn, Andrew S., Norihiko Takeda, Adam T. Boutin, et al.. (2013). HIF isoforms in the skin differentially regulate systemic arterial pressure. Proceedings of the National Academy of Sciences. 110(43). 17570–17575. 53 indexed citations
17.
Li, Christopher, Pedro Lee, Manando Nakasaki, et al.. (2010). Development of atopic dermatitis-like skin disease from the chronic loss of epidermal caspase-8. Proceedings of the National Academy of Sciences. 107(51). 22249–22254. 69 indexed citations
18.
Nakasaki, Manando, Kiyoko Yoshioka, Yasuhide Miyamoto, et al.. (2008). IGF-I secreted by osteoblasts acts as a potent chemotactic factor for osteoblasts. Bone. 43(5). 869–879. 69 indexed citations
19.
Ueda, Takafumi, Akira Myoui, Kiyoko Yoshioka, et al.. (2006). Bone morphogenetic protein-2 promotes the haptotactic migration of murine osteoblastic and osteosarcoma cells by enhancing incorporation of integrin β1 into lipid rafts. Experimental Cell Research. 312(19). 3927–3938. 64 indexed citations
20.
Yamakido, M, Kiyoshi Onari, Tsutomu Inamizu, et al.. (1980). Suppressor cells in man as a function of age.. PubMed. 29(3). 97–103. 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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