Toshihide Nakada

458 total citations
9 papers, 370 citations indexed

About

Toshihide Nakada is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Toshihide Nakada has authored 9 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Toshihide Nakada's work include Pregnancy and preeclampsia studies (2 papers), Pluripotent Stem Cells Research (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Toshihide Nakada is often cited by papers focused on Pregnancy and preeclampsia studies (2 papers), Pluripotent Stem Cells Research (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Toshihide Nakada collaborates with scholars based in Japan and United States. Toshihide Nakada's co-authors include Hirotaka Nishi, Keiichi Isaka, Jerry W. Shay, Masaki Inoue, Satoru Kyo, Y. Takeda, Fujiro Sendo, Tomoyuki Kato, Eric Huang and Masaomi Takayama and has published in prestigious journals such as Molecular and Cellular Biology, Cancer and Endocrinology.

In The Last Decade

Toshihide Nakada

9 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Toshihide Nakada Japan	6	152	138	97	71	62	9	370
Shigenori Furukawa Japan	12	162 1.1×	115 0.8×	22 0.2×	138 1.9×	54 0.9×	42	449
Kanwal Minhas Canada	8	209 1.4×	135 1.0×	16 0.2×	56 0.8×	78 1.3×	13	344
K. Oliva Australia	8	120 0.8×	67 0.5×	26 0.3×	164 2.3×	67 1.1×	13	431
Ashley N. Kamimae-Lanning United States	7	317 2.1×	88 0.6×	27 0.3×	53 0.7×	59 1.0×	8	415
Jinhua Quan Japan	10	163 1.1×	88 0.6×	19 0.2×	106 1.5×	69 1.1×	16	409
Eva Galle Belgium	6	214 1.4×	100 0.7×	26 0.3×	136 1.9×	44 0.7×	7	413
Maria De Bonis Italy	10	114 0.8×	41 0.3×	42 0.4×	57 0.8×	12 0.2×	32	320
Chung‐Tai Yue Taiwan	10	338 2.2×	85 0.6×	61 0.6×	220 3.1×	32 0.5×	30	601
Wei Cang China	9	213 1.4×	159 1.2×	17 0.2×	100 1.4×	79 1.3×	19	470
Yong Shao China	11	153 1.0×	59 0.4×	34 0.4×	89 1.3×	97 1.6×	28	362

Countries citing papers authored by Toshihide Nakada

Since Specialization

Citations

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

Fields of papers citing papers by Toshihide Nakada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshihide Nakada

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

All Works

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9 of 9 papers shown

1.

Huber, Vincent J. & Toshihide Nakada. (2008). Aquaporin 4 as a therapeutic target: A first look. Drugs of the Future. 33(10). 897–897. 3 indexed citations

2.

Nishi, Hirotaka, Toshihide Nakada, Satoru Kyo, et al.. (2004). Hypoxia-Inducible Factor 1 Mediates Upregulation of Telomerase (hTERT). Molecular and Cellular Biology. 24(13). 6076–6083. 164 indexed citations

3.

Nishi, Hirotaka, et al.. (2004). Hypoxia-Inducible Factor-1 Transactivates Transforming Growth Factor-β3 in Trophoblast. Endocrinology. 145(9). 4113–4118. 75 indexed citations

4.

Isaka, Keiichi, Hirotaka Nishi, Yasukazu Sagawa, et al.. (2003). Establishment of a new human cell line (EN) with TP53 mutation derived from endometrial carcinoma. Cancer Genetics and Cytogenetics. 141(1). 20–25. 14 indexed citations

5.

Nakada, Toshihide, Keiichi Isaka, Hirotaka Nishi, et al.. (2003). A novel phenoxazine derivative suppresses proliferation of human endometrial adenocarcinoma cell lines, inducing G2M accumulation and apoptosis. Oncology Reports. 10(5). 1171–6. 5 indexed citations

6.

Isaka, Keiichi, Hirotaka Nishi, Hiromi Nakai, et al.. (2002). Matrix metalloproteinase‐26 is expressed in human endometrium but not in endometrial carcinoma. Cancer. 97(1). 79–89. 45 indexed citations

7.

Isaka, Keiichi, Hirotaka Nishi, Toshihide Nakada, et al.. (2002). Establishment and Characterization of a New Human Cell line (EJ) Derived from Endometrial Carcinoma. Human Cell. 15(4). 200–206. 3 indexed citations

8.

Nohira, Tomoyoshi, et al.. (2001). Pregnancy Complicated with Bartter's Syndrome: A Case Report. Journal of obstetrics and gynaecology research. 27(5). 267–274. 7 indexed citations

9.

Kato, Tomoyuki, Y. Takeda, Toshihide Nakada, & Fujiro Sendo. (1995). Inhibition by dexamethasone of human neutrophil apoptosis in vitro.. PubMed. 14(4). 198–208. 54 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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