Tatsuo Gondo
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- Prostate Cancer Diagnosis and Treatment 14
- Prostate Cancer Treatment and Research 13
- Renal cell carcinoma treatment 6
- Urology top 5%
- Urological Disorders and Treatments 8
- Oncology top 5%
- Inflammatory Biomarkers in Disease Prognosis 7
- Health Informatics top 10%
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- Bladder and Urothelial Cancer Treatments 16
- Urinary and Genital Oncology Studies 12
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- Cancer, Lipids, and Metabolism 5
- Co-authors
- Kazuhiro MatsumotoHedvig HricakMasaaki TachibanaEvis SalaJun NakashimaYoshio OhnoMakoto OhoriAndreas G. Wibmer
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Tatsuo Gondo
45 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Radiology, Nuclear Medicine and Imaging 752
- Pulmonary and Respiratory Medicine 1.0k
- Urology 130
- Oncology 473
- Health Informatics 21
Countries citing papers authored by Tatsuo Gondo
This map shows the geographic impact of Tatsuo Gondo'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 Tatsuo Gondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuo Gondo more than expected).
Fields of papers citing papers by Tatsuo Gondo
This network shows the impact of papers produced by Tatsuo Gondo. 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 Tatsuo Gondo. The network helps show where Tatsuo Gondo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tatsuo Gondo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 6 | |
| 2 | 2018 | 39 | |
| 3 | 2017 | 5 | |
| 4 | 2016 | 1 | |
| 5 | 2015 | 13 | |
| 6 | Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scoresbreakdown → | 2015 | 321 |
| 7 | Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of referencebreakdown → | 2015 | 259 |
| 8 | 2015 | 6 | |
| 9 | 2015 | 12 | |
| 10 | 2014 | 1 | |
| 11 | 2013 | 26 | |
| 12 | 2013 | 19 | |
| 13 | 2013 | 5 | |
| 14 | 2013 | 2 | |
| 15 | 2013 | 3 | |
| 16 | 2012 | 33 | |
| 17 | 2012 | 38 | |
| 18 | 2012 | 191 | |
| 19 | 2011 | 8 | |
| 20 | 2011 | 17 |
About Tatsuo Gondo
Tatsuo Gondo is a scholar working on Urology, Pulmonary and Respiratory Medicine and Surgery, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (16 papers), Prostate Cancer Diagnosis and Treatment (14 papers), Prostate Cancer Treatment and Research (13 papers), Urinary and Genital Oncology Studies (12 papers), Urological Disorders and Treatments (8 papers), Inflammatory Biomarkers in Disease Prognosis (7 papers), Renal cell carcinoma treatment (6 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (752 citations), Pulmonary and Respiratory Medicine (1.0k citations) and Urology (130 citations). Tatsuo Gondo has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Kazuhiro Matsumoto, Hedvig Hricak, Masaaki Tachibana, Evis Sala, Jun Nakashima, Yoshio Ohno, Makoto Ohori, Andreas G. Wibmer, Duc Fehr and Harini Veeraraghavan.
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.