Daniel Castellano

42.8k citations
316 papers · 32.0k · 26 hit papers · h-index 67

Impact in

Papers in

Daniel Castellano

310 papers receiving 31.4k citations

Daniel Castellano's Hit Papers

ctDNA-Guided Adjuvant Atezolizumab in Muscle-Invasive Bladder Cancer 2025 · 39 citations
390+2+4Years since publication4008001.2k

Peers

Daniel Castellano
Comparison fields: 5 of 138
  • Oncology 13.3k
  • Pulmonary and Respiratory Medicine 11.8k
  • Cancer Research 4.0k
  • Surgery 7.9k
  • Immunology 3.1k
Replace Yohann Loriot with:
Yohann Loriot France
Thomas Powles United Kingdom
Elizabeth R. Plimack United States
Ronald de Wit Netherlands
Howard Gurney Australia
Daniel Peter Petrylak United States
Jonathan E. Rosenberg United States
Richard David Schulick United States
Dean F. Bajorin United States
Robert Dreicer United States
Daniel Castellano relative to Yohann Loriot France Yohann Loriot's profile →
Citations per field
00.5×1.5×
Yohann Loriot · 1×
Citations per year

Countries citing papers authored by Daniel Castellano

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Castellano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Castellano, 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 Daniel Castellano Line = papers co-authored together Daniel Castellano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 316 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nivolumab versus Everolimus in Advanced Renal-Cell Carcinoma
Hit paper breakdown →
20154815
2
Nivolumab plus Ipilimumab versus Sunitinib in Advanced Renal-Cell Carcinoma
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20183643
3
Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial
Hit paper breakdown →
20163043
4
Comparative effectiveness of axitinib versus sorafenib in advanced renal cell carcinoma (AXIS): a randomised phase 3 trial
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20111544
5
Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study
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20201331
6
Atezolizumab versus chemotherapy in patients with platinum-treated locally advanced or metastatic urothelial carcinoma (IMvigor211): a multicentre, open-label, phase 3 randomised controlled trial
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20171141
7
First-line pembrolizumab in cisplatin-ineligible patients with locally advanced and unresectable or metastatic urothelial cancer (KEYNOTE-052): a multicentre, single-arm, phase 2 study
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20171080
8
Enfortumab Vedotin in Previously Treated Advanced Urothelial Carcinoma
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2021876
9
Enfortumab Vedotin and Pembrolizumab in Untreated Advanced Urothelial Cancer
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2024609
10
Management of Patients with Advanced Prostate Cancer: The Report of the Advanced Prostate Cancer Consensus Conference APCCC 2017
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2017554
11
Safety and efficacy of sunitinib for metastatic renal-cell carcinoma: an expanded-access trial
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2009498
12
ctDNA guiding adjuvant immunotherapy in urothelial carcinoma
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2021495
13
Cabazitaxel versus Abiraterone or Enzalutamide in Metastatic Prostate Cancer
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2019478
14
Clinical efficacy and biomarker analysis of neoadjuvant atezolizumab in operable urothelial carcinoma in the ABACUS trial
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2019457
15
Nivolumab plus ipilimumab versus sunitinib for first-line treatment of advanced renal cell carcinoma: extended 4-year follow-up of the phase III CheckMate 214 trial
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2020410
16 2010348
17
Adjuvant atezolizumab versus observation in muscle-invasive urothelial carcinoma (IMvigor010): a multicentre, open-label, randomised, phase 3 trial
Hit paper breakdown →
2021319
18 2017286
19 2020247
20 2017227

About Daniel Castellano

Daniel Castellano is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Cancer Research and Epidemiology, having authored 316 papers that have together received 32.0k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (91 papers), Renal cell carcinoma treatment (76 papers), Prostate Cancer Treatment and Research (51 papers), Cancer Immunotherapy and Biomarkers (31 papers), Cancer Genomics and Diagnostics (29 papers), Neuroendocrine Tumor Research Advances (29 papers), Urinary and Genital Oncology Studies (23 papers) and Pancreatic and Hepatic Oncology Research (22 papers). The work is most often cited by research in Oncology (13.3k citations), Pulmonary and Respiratory Medicine (11.8k citations), Cancer Research (4.0k citations), Surgery (7.9k citations) and Immunology (3.1k citations). Daniel Castellano has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Thomas Powles, Joaquim Bellmunt, Elizabeth R. Plimack, Ronald de Wit, Ignacio Durán, Petros Grivas, Arjun Vasant Balar, Dean F. Bajorin, Jacqueline Vuky and Peter H. O’Donnell. Their work appears in journals such as Annals of Oncology, European Urology, European Journal of Cancer, Journal of Clinical Oncology and Clinical Genitourinary Cancer.

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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