Raul E. Suburu

2.0k citations
17 papers · 1.6k · h-index 14

Impact in

Papers in

Raul E. Suburu

16 papers receiving 1.5k citations

Peers

Raul E. Suburu
Comparison fields: 5 of 39
  • Pulmonary and Respiratory Medicine 1.2k
  • Pharmacology 46
  • Reproductive Medicine 24
  • Urology 9
  • Oncology 26
Replace Sebastian Frees with:
Sebastian Frees Germany
Eren Demirhan United States
Hisao Uejima Japan
Marianne Månsson Sweden
Katarína Petráková Czechia
Oliver Sartor United States
Francis Vadakkumparambil James India
Kazutoshi Yamana Japan
Yoshiki Takada Japan
Dennis L. Broyles United States
Raul E. Suburu relative to Sebastian Frees Germany Sebastian Frees's profile →
Citations per field
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Citations per year

Countries citing papers authored by Raul E. Suburu

Since Specialization
Citations

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

Fields of papers citing papers by Raul E. Suburu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raul E. Suburu. 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 Raul E. Suburu. The network helps show where Raul E. Suburu may publish in the future.

Co-authors

The 18 scholars most cited alongside Raul E. Suburu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raul E. Suburu Line = papers co-authored together Raul E. Suburu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1992280
2 1997261
3 1999242
4 1995158
5 1996130
6 1992113
7
Downstaging of localized prostate cancer by neoadjuvant therapy with flutamide and lupron: the first controlled and randomized trial.
1993100
8 199482
9 199775
10 199664
11 200057
12
Optimized strategy for detection of early stage, curable prostate cancer: role of prescreening with prostate-specific antigen.
199335
13
Downstaging by combination therapy with flutamide and an LHRH agonist before radical prostatectomy.
199521
14 199318
15
Stratification of stage D2 prostate cancer patients by a disease aggressiveness score and its use in evaluating disease response and outcome to combination hormonal treatment (GnRH-A plus flutamide).
19947
16 19963
17 19960

About Raul E. Suburu

Raul E. Suburu is a scholar working on Pulmonary and Respiratory Medicine, Pharmacology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (12 papers), Prostate Cancer Treatment and Research (4 papers) and Drug-Induced Hepatotoxicity and Protection (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.2k citations), Pharmacology (46 citations), Reproductive Medicine (24 citations), Urology (9 citations) and Oncology (26 citations). Raul E. Suburu has collaborated with scholars based in Canada. Frequent co-authors include Fernand Labrie, Pierre Diamond, José‐Luis Gomez, André Dupont, Bernard Candas, Léonello Cusan, Lionel Cusan, Jean Emond, Bernard Têtu and Yves Fradet. Their work appears in journals such as Urology, The Prostate, The American Journal of Surgical Pathology, Nature Medicine and International Journal of Radiation Oncology*Biology*Physics.

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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