Hajime Tanaka

3.5k total citations
203 papers, 2.4k citations indexed

About

Hajime Tanaka is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Hajime Tanaka has authored 203 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Surgery, 88 papers in Pulmonary and Respiratory Medicine and 51 papers in Oncology. Recurrent topics in Hajime Tanaka's work include Renal cell carcinoma treatment (48 papers), Bladder and Urothelial Cancer Treatments (43 papers) and Urinary and Genital Oncology Studies (28 papers). Hajime Tanaka is often cited by papers focused on Renal cell carcinoma treatment (48 papers), Bladder and Urothelial Cancer Treatments (43 papers) and Urinary and Genital Oncology Studies (28 papers). Hajime Tanaka collaborates with scholars based in Japan, United States and China. Hajime Tanaka's co-authors include Yasuhisa Fujii, Soichiro Yoshida, Takashi Joh, Hirotaka Ohara, Kazutaka Saito, Tomoaki Ando, Takahiro Nakazawa, Kazuki Hayashi, Steven C. Campbell and Yoh Matsuoka and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Hajime Tanaka

186 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hajime Tanaka Japan 26 1.0k 698 553 497 382 203 2.4k
Charlotte Ryan United States 28 803 0.8× 478 0.7× 475 0.9× 489 1.0× 687 1.8× 73 2.8k
Marcia R. Gottfried United States 30 1.2k 1.2× 659 0.9× 326 0.6× 721 1.5× 413 1.1× 53 2.4k
Diana M. Cardona United States 27 419 0.4× 560 0.8× 799 1.4× 663 1.3× 309 0.8× 113 2.4k
Gregor Mikuz Austria 29 948 0.9× 1.1k 1.5× 628 1.1× 504 1.0× 187 0.5× 116 2.6k
Satoshi Baba Japan 29 806 0.8× 523 0.7× 765 1.4× 638 1.3× 497 1.3× 163 2.6k
Richard Kirsch Canada 31 930 0.9× 519 0.7× 475 0.9× 1.5k 3.1× 1.1k 2.9× 97 3.5k
Jaishree Jagirdar United States 34 779 0.8× 1.4k 2.0× 722 1.3× 898 1.8× 631 1.7× 114 3.4k
Shigeo Yokoyama Japan 30 1.1k 1.1× 608 0.9× 690 1.2× 847 1.7× 433 1.1× 191 3.1k
Masatsugu Iwamura Japan 27 795 0.8× 1.3k 1.9× 773 1.4× 822 1.7× 215 0.6× 204 2.9k
J. Solà Spain 28 671 0.7× 457 0.7× 703 1.3× 729 1.5× 268 0.7× 110 2.4k

Countries citing papers authored by Hajime Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Hajime Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajime Tanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Tanaka. A scholar is included among the top collaborators of Hajime Tanaka 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 Hajime Tanaka. Hajime Tanaka 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
1.
Chen, Wei, Hajime Tanaka, Masaki Kobayashi, et al.. (2025). Racial disparity in preoperative C‐reactive protein level for predicting prognosis of patients with non‐metastatic clear cell renal cell carcinoma: INMARC study. International Journal of Urology. 32(4). 414–422. 2 indexed citations
2.
3.
Hakimi, Kevin, Margaret Meagher, Franklin Liu, et al.. (2024). C-REACTIVE PROTEIN KINETICS ARE ASSOCIATED WITH PROGRESSION AND SURVIVAL IN SURGICALLY TREATED RENAL CELL CARCINOMA PATIENTS. Urologic Oncology Seminars and Original Investigations. 42. S65–S65. 1 indexed citations
4.
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Matsumoto, Shunya, Hiroshi Fukushima, Kouhei Yamamoto, et al.. (2024). A case of bladder paraganglioma completely resected by transurethral endoscopic en‐bloc resection of bladder tumor. IJU Case Reports. 8(2). 93–96.
6.
Yamamoto, Takanobu, Sho Uehara, Masaharu Inoue, et al.. (2024). Gustave Roussy Immune score as a prognostic biomarker in patients with platinum-refractory metastatic urothelial carcinoma treated with pembrolizumab: YUSHIMA study. International Journal of Clinical Oncology. 29(9). 1302–1310. 2 indexed citations
7.
Tanaka, Hajime, Kousuke Tanimoto, Takayasu Mori, et al.. (2024). Prognostic Impact and Genomic Backgrounds of Renal Parenchymal Infiltration or Micronodular Spread in Nonmetastatic Clear Cell Renal Cell Carcinoma. Modern Pathology. 37(11). 100590–100590. 1 indexed citations
8.
Nakamura, Yuki, Masaki Kobayashi, Bo Fan, et al.. (2024). Location‐specific diagnostic efficiency of photodynamic diagnosis‐guided biopsy in bladder mapping biopsies. International Journal of Urology. 31(11). 1263–1268. 3 indexed citations
9.
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Ohba, Kojiro, Takahiro Osawa, Kazutoshi Yamana, et al.. (2023). Comprehensive investigation of clinicopathological and immunological features to determine prognostic impact in metastatic renal cell carcinoma: The JEWEL study. International Journal of Urology. 30(11). 977–984. 1 indexed citations
11.
Kimura, Koichiro, et al.. (2022). Significance of tumor shape irregularity: Radiomics analysis based on dynamic computed tomography for predicting pT3a upstaging in cT1b‐2N0M0 renal cell carcinoma. International Journal of Urology. 29(11). 1387–1389. 3 indexed citations
12.
Rossi, Sabrina H., Hajime Tanaka, Juliet A. Usher‐Smith, et al.. (2022). Kidney Cancer Screening and Epidemiology. SHILAP Revista de lepidopterología. 3(6). 371–385. 3 indexed citations
13.
Saito, Kazutaka, Yosuke Yasuda, Hajime Tanaka, et al.. (2022). Prognostic Significance of C-reactive Protein in Patients With Non-metastatic Papillary Renal Cell Carcinoma: Results from the INternational Marker Consortium for Renal Cancer (INMARC) Cohort. Clinical Genitourinary Cancer. 20(4). e276–e282. 2 indexed citations
14.
Fukushima, Hiroshi, Hajime Tanaka, Soichiro Yoshida, et al.. (2021). Prognostic Accuracy of the qSOFA Score for In-Hospital Mortality in Elderly Patients with Obstructive Acute Pyelonephritis: A Multi-Institutional Study. Diagnostics. 11(12). 2277–2277. 1 indexed citations
15.
Ward, Ryan, et al.. (2021). Infiltrative Renal Malignancies: Imaging Features, Prognostic Implications, and Mimics. Radiographics. 41(2). 487–508. 12 indexed citations
16.
Ye, Yunlin, Diego Aguilar Palacios, Rebecca A. Campbell, et al.. (2021). Radiological Correlates of pT3a Kidney Cancer: Importance of Irregular Tumor Sinus Border. 19(4). 1 indexed citations
17.
Suk‐Ouichai, Chalairat, Jitao Wu, Wen Dong, et al.. (2018). Tumor Contact Surface Area As a Predictor of Functional Outcomes After Standard Partial Nephrectomy: Utility and Limitations. Urology. 116. 106–113. 8 indexed citations
18.
Tanaka, Hajime, Katsumi Fukamachi, Mitsuru Futakuchi, et al.. (2009). Mature acinar cells are refractory to carcinoma development by targeted activation of Ras oncogene in adult rats. Cancer Science. 101(2). 341–346. 13 indexed citations
19.
Tanaka, Hajime, Taishiro Chikamori, Satoshi Hida, et al.. (2008). Evidence for stress-induced myocardial stunning as assessed by gated single-photon emission computed tomography. Circulation. 72. 691. 1 indexed citations
20.
Tanaka, Hajime, et al.. (2001). [Prolonged use of paclitaxel for platinum-refractory ovarian cancer--brief report].. PubMed. 28(3). 403–5. 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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