Shigeki Nishida

766 total citations
18 papers, 602 citations indexed

About

Shigeki Nishida is a scholar working on Molecular Biology, Orthopedics and Sports Medicine and Oncology. According to data from OpenAlex, Shigeki Nishida has authored 18 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Orthopedics and Sports Medicine and 6 papers in Oncology. Recurrent topics in Shigeki Nishida's work include Bone Metabolism and Diseases (10 papers), Bone health and treatments (6 papers) and Bone health and osteoporosis research (6 papers). Shigeki Nishida is often cited by papers focused on Bone Metabolism and Diseases (10 papers), Bone health and treatments (6 papers) and Bone health and osteoporosis research (6 papers). Shigeki Nishida collaborates with scholars based in Japan, United States and India. Shigeki Nishida's co-authors include Yongmei Wang, Hashem Elalieh, Bernard P. Halloran, Daniel D. Bikle, Roger Long, Takeshi Sakata, Steven Doty, Sharmila Majumdar, Andrew J. Burghardt and Wenhan Chang and has published in prestigious journals such as The FASEB Journal, Journal of Applied Physiology and Endocrinology.

In The Last Decade

Shigeki Nishida

17 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shigeki Nishida Japan 11 359 190 173 143 67 18 602
K Chihara Japan 17 188 0.5× 108 0.6× 158 0.9× 69 0.5× 75 1.1× 37 568
Marilyn Gordon Canada 13 265 0.7× 158 0.8× 60 0.3× 147 1.0× 75 1.1× 17 564
M. Carstens Denmark 12 407 1.1× 202 1.1× 86 0.5× 318 2.2× 142 2.1× 16 669
Marie Pereira United Kingdom 10 275 0.8× 107 0.6× 127 0.7× 73 0.5× 24 0.4× 10 536
Tamara J. Gough Australia 10 400 1.1× 187 1.0× 61 0.4× 192 1.3× 31 0.5× 16 744
Naohiko Hayakawa Japan 12 221 0.6× 153 0.8× 31 0.2× 83 0.6× 42 0.6× 20 594
Ursula Föger‐Samwald Austria 11 416 1.2× 159 0.8× 32 0.2× 268 1.9× 68 1.0× 26 760
Brittany Eckhardt United States 7 246 0.7× 101 0.5× 32 0.2× 104 0.7× 31 0.5× 8 484
Chiharu Tsutsumi Japan 11 279 0.8× 116 0.6× 149 0.9× 39 0.3× 197 2.9× 27 706

Countries citing papers authored by Shigeki Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Shigeki Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigeki Nishida

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

All Works

18 of 18 papers shown
1.
Okimoto, Nobukazu, Akinori Sakai, Toru Yoshioka, et al.. (2019). Efficacy of non-steroidal anti-inflammatory drugs on zoledronic acid-induced acute-phase reactions: randomized, open-label, Japanese OZ study. Journal of Bone and Mineral Metabolism. 38(2). 230–239. 16 indexed citations
2.
Long, Roger, Shigeki Nishida, Takuo Kubota, et al.. (2011). Skeletal unloading–induced insulin-like growth factor 1 (IGF-1) Nonresponsiveness is not shared by platelet-derived growth factor: The selective role of integrins in IGF-1 signaling. Journal of Bone and Mineral Research. 26(12). 2948–2958. 21 indexed citations
3.
Tanaka, Shinya, Kenichiro Narusawa, Hironobu Onishi, et al.. (2010). Lower osteocalcin and osteopontin contents of the femoral head in hip fracture patients than osteoarthritis patients. Osteoporosis International. 22(2). 587–597. 31 indexed citations
4.
Wang, Yongmei, Shigeki Nishida, Benjamin Boudignon, et al.. (2007). IGF-I Receptor Is Required for the Anabolic Actions of Parathyroid Hormone on Bone. Journal of Bone and Mineral Research. 22(9). 1329–1337. 108 indexed citations
5.
Boudignon, Benjamin, Daniel D. Bikle, Pam Kurimoto, et al.. (2007). Insulin-like growth factor I stimulates recovery of bone lost after a period of skeletal unloading. Journal of Applied Physiology. 103(1). 125–131. 25 indexed citations
6.
Wang, Yongmei, Shigeki Nishida, Takeshi Sakata, et al.. (2006). Insulin-Like Growth Factor-I Is Essential for Embryonic Bone Development. Endocrinology. 147(10). 4753–4761. 103 indexed citations
7.
Wang, Yongmei, Shigeki Nishida, Hashem Elalieh, et al.. (2006). The Role of IGF‐I Signaling in Regulating Osteoclastogenesis. The FASEB Journal. 20(4). 3 indexed citations
8.
Wang, Yongmei, Shigeki Nishida, Hashem Elalieh, et al.. (2006). Role of IGF-I Signaling in Regulating Osteoclastogenesis. Journal of Bone and Mineral Research. 21(9). 1350–1358. 156 indexed citations
9.
Sakai, Akinori, Satoshi Nishida, Shigeki Nishida, et al.. (2001). 1?-Hydroxyvitamin D3 suppresses trabecular bone resorption by inhibiting osteoclastogenic potential in bone marrow cells after ovariectomy in mice. Journal of Bone and Mineral Metabolism. 19(5-6). 277–286. 10 indexed citations
10.
Kamata, Akihito, et al.. (2000). A study on the life expectancy at birth in Aomori prefecture.. 49(1). 62–71. 1 indexed citations
11.
Okada, Yosuke, I Morimoto, Yoichiro Nakano, et al.. (1998). Short-Term Treatment of Recombinant Murine Interleukin-4 Rapidly Inhibits Bone Formation in Normal and Ovariectomized Mice. Bone. 22(4). 361–365. 27 indexed citations
12.
Okazaki, Yasushi, Hiroshi Tsurukami, Shigeki Nishida, et al.. (1998). Prednisolone prevents decreases in trabecular bone mass and strength by reducing bone resorption and bone formation defect in adjuvant-induced arthritic rats. Bone. 23(4). 353–360. 15 indexed citations
13.
Sakai, Akinori, Shigeki Nishida, Nobukazu Okimoto, et al.. (1998). Bone marrow cell development and trabecular bone dynamics after ovariectomy in ddy mice. Bone. 23(5). 443–451. 49 indexed citations
14.
Nishida, Shigeki, et al.. (1996). Sex Differential in Life Expectancy at Birth in Japan. (1). The Sex Differential in Recent Years.. Japanese Journal of Health and Human Ecology. 62(3). 127–138. 1 indexed citations
15.
Nishida, Shigeki, et al.. (1996). Sex Differential in Life Expectancy at Birth in Japan. (2). Trends in Sex Differential in Life Expectancy at Birth from 1920 to 1990.. Japanese Journal of Health and Human Ecology. 62(3). 139–153. 2 indexed citations
16.
Tanaka, Yoshiya, Tetsuya Nakamura, Shigeki Nishida, et al.. (1996). Effects of a synthetic vitamin D analog ED-71 on bone dynamics and strength in cancellous and cortical bone in prednisolone treated rats. Osteoporosis International. 6(S1). 238–238. 2 indexed citations
17.
Baba, Tsuyoshi, et al.. (1988). Harderian gland dependency of immunoglobulin A production in the lacrimal fluid of chicken.. PubMed. 65(1). 67–71. 32 indexed citations
18.
Hayashi, Kenji, et al.. (1984). A study on interprefectural variation and chronological trend of teenage fertility.. Japanese Journal of Health and Human Ecology. 50(3). 131–140.

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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