Takehiro Sejima

1.1k total citations
71 papers, 834 citations indexed

About

Takehiro Sejima is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Takehiro Sejima has authored 71 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 31 papers in Surgery and 16 papers in Molecular Biology. Recurrent topics in Takehiro Sejima's work include Bladder and Urothelial Cancer Treatments (18 papers), Renal cell carcinoma treatment (17 papers) and Prostate Cancer Diagnosis and Treatment (13 papers). Takehiro Sejima is often cited by papers focused on Bladder and Urothelial Cancer Treatments (18 papers), Renal cell carcinoma treatment (17 papers) and Prostate Cancer Diagnosis and Treatment (13 papers). Takehiro Sejima collaborates with scholars based in Japan, United States and Greece. Takehiro Sejima's co-authors include Atsushi Takenaka, Hideki Iwamoto, Shuichi Morizane, Masashi Honda, Ikuo Miyagawa, Akihisa Yao, Tadahiro Isoyama, Motoaki Saito, Nobuyuki Hinata and Mitsuhiko Osaki and has published in prestigious journals such as Scientific Reports, The Journal of Urology and European Urology.

In The Last Decade

Takehiro Sejima

68 papers receiving 814 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takehiro Sejima Japan 17 367 258 246 186 176 71 834
Ching‐Chia Li Taiwan 16 163 0.4× 237 0.9× 251 1.0× 79 0.4× 89 0.5× 49 668
O. Reichelt Germany 19 478 1.3× 260 1.0× 316 1.3× 92 0.5× 91 0.5× 39 759
A. Celma Spain 13 530 1.4× 64 0.2× 170 0.7× 101 0.5× 149 0.8× 97 727
G. Bartsch Austria 16 376 1.0× 97 0.4× 161 0.7× 104 0.6× 64 0.4× 50 638
Tomohiko Yanagida Japan 13 220 0.6× 83 0.3× 78 0.3× 322 1.7× 33 0.2× 30 588
Niels Borgstein United States 12 175 0.5× 54 0.2× 180 0.7× 94 0.5× 48 0.3× 21 594
Yinong Niu China 12 199 0.5× 127 0.5× 143 0.6× 76 0.4× 59 0.3× 52 444
Zhichao Huang China 15 191 0.5× 90 0.3× 185 0.8× 21 0.1× 118 0.7× 69 728
Junwei Yang United States 5 145 0.4× 210 0.8× 481 2.0× 27 0.1× 47 0.3× 5 857
Pier Francesco Rambaldi Italy 17 182 0.5× 123 0.5× 267 1.1× 218 1.2× 21 0.1× 45 853

Countries citing papers authored by Takehiro Sejima

Since Specialization
Citations

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

Fields of papers citing papers by Takehiro Sejima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehiro Sejima

This figure shows the co-authorship network connecting the top 25 collaborators of Takehiro Sejima. A scholar is included among the top collaborators of Takehiro Sejima 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 Takehiro Sejima. Takehiro Sejima 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.
Osaki, Mitsuhiko, Kunishige Onuma, Hideki Iwamoto, et al.. (2017). Identification of MicroRNAs Involved in Resistance to Sunitinib in Renal Cell Carcinoma Cells. Anticancer Research. 37(6). 2985–2992. 43 indexed citations
3.
Shimizu, Shogo, Takahiro Shimizu, Youichirou Higashi, et al.. (2016). Angiotensin II centrally induces frequent detrusor contractility of the bladder by acting on brain angiotensin II type 1 receptors in rats. Scientific Reports. 6(1). 22213–22213. 8 indexed citations
4.
Shimizu, Shogo, Takahiro Shimizu, Youichirou Higashi, et al.. (2015). Vesicovascular reflexes in the spontaneously hypertensive rat. Life Sciences. 144. 202–207. 1 indexed citations
5.
6.
Yanagi, Koji, et al.. (2015). Treatment of Ureterosciatic Hernia with a Ureteral Stent. Case Reports in Nephrology and Dialysis. 5(1). 83–86. 8 indexed citations
9.
Hinata, Nobuyuki, Shuichi Morizane, Masashi Honda, et al.. (2015). Site-dependent and interindividual variations in Denonvilliers’ fascia: a histological study using donated elderly male cadavers. BMC Urology. 15(1). 42–42. 23 indexed citations
10.
Yao, Akihisa, Hideki Iwamoto, Shuichi Morizane, et al.. (2014). The Role of Staging MRI in Predicting Apical Margin Positivity for Robot-Assisted Laparoscopic Radical Prostatectomy. Urologia Internationalis. 93(2). 182–188. 11 indexed citations
11.
Saito, Motoaki, Panagiota Tsounapi, Ryo Oikawa, et al.. (2014). Prostatic ischemia induces ventral prostatic hyperplasia in the SHR; possible mechanism of development of BPH. Scientific Reports. 4(1). 3822–3822. 60 indexed citations
12.
Saito, Motoaki, Panagiota Tsounapi, Ryo Oikawa, et al.. (2013). Prostatic ischemia induces ventral prostatic hyperplasia in the SHR. Neurourology and Urodynamics. 24 indexed citations
13.
Sejima, Takehiro, Hideki Iwamoto, Shuichi Morizane, et al.. (2012). Fas expression in nephrectomized, non-cancerous specimens predicts post-nephrectomy chronic kidney disease progression in patients with renal and upper urinary tract malignancies. Urologic Oncology Seminars and Original Investigations. 31(8). 1812–1819. 3 indexed citations
14.
Morizane, Shuichi, Hideki Iwamoto, Akihisa Yao, et al.. (2012). UROLOGICAL ONCOLOGY Serum C-reactive protein level is a significant prognostic indicator in patients with advanced urothelial cancer treated with gemcitabine-cisplatin or carboplatin – preliminary results. Editor-in-Chief s Voice List of Authors is an Important Element in a Scientific Publication. 65(2). 62–66. 7 indexed citations
15.
Morizane, Shuichi, Hideki Iwamoto, Akihisa Yao, et al.. (2012). A case of metastatic renal cell carcinoma treated effectively by gemcitabine and sunitinib. Editor-in-Chief s Voice List of Authors is an Important Element in a Scientific Publication. 65(4). 227–229. 1 indexed citations
16.
Sejima, Takehiro, Shuichi Morizane, Nobuyuki Hinata, et al.. (2012). Fas Expression in Renal Cell Carcinoma Accurately Predicts Patient Survival after Radical Nephrectomy. Urologia Internationalis. 88(3). 263–270. 16 indexed citations
17.
Isoyama, Tadahiro, et al.. (2004). Retroperitoneal laparoscopic heminephrectomy for a horseshoe kidney. 17(1). 105–107. 1 indexed citations
18.
Sejima, Takehiro, Tadahiro Isoyama, & Ikuo Miyagawa. (2004). Comparative Study of Apoptotic Antitumor Effect between Angiogenesis Inhibitor AGM-1470 and MVAC Chemotherapy on Rat Urinary Bladder Cancer. Urologia Internationalis. 73(3). 226–233. 2 indexed citations
19.
Sejima, Takehiro & Ikuo Miyagawa. (1999). THE EVALUATION OF FAS/FAS LIGAND SYSTEM IN RENAL CELL CARCINOMA. The Japanese Journal of Urology. 90(10). 826–832. 3 indexed citations
20.
Sejima, Takehiro. (1994). Effects of Testosterone on the Development of Muscarinic Function in the Rabbit Urinary Bladder during Puberty. Yonago acta medica. 37(1). 67–74. 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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