Jorge A. García

12.6k citations
213 papers · 8.1k indexed · 2 hit papers · h-index 43

Jorge A. García

205 papers receiving 8.0k citations

Hit Papers

Chemohormonal Therapy in Metastatic Hormone-Sensitive Pro...695201520262018202250010001.5k

Peers

Jorge A. García
Comparison fields: 5 of 121
  • Pulmonary and Respiratory Medicine 6.2k
  • Cancer Research 2.4k
  • Oncology 2.1k
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Endocrinology, Diabetes and Metabolism 715
Replace B. Yа. Alekseev with:
B. Yа. Alekseev Russia
Neeraj Agarwal United States
Glenn Liu United States
Eleni Efstathiou United States
Mary‐Ellen Taplin United States
Christopher Parker United Kingdom
Simon Chowdhury United Kingdom
Matthew M. Cooney United States
Gerhardt Attard United Kingdom
I. Bodrogi Hungary
Jorge A. García relative to B. Yа. Alekseev Russia B. Yа. Alekseev's profile →
Citations per field
00.5×4.4×
B. Yа. Alekseev · 1×
Citations per year

Countries citing papers authored by Jorge A. García

Since Specialization
Citations

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

Fields of papers citing papers by Jorge A. García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge A. García. 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 Jorge A. García. The network helps show where Jorge A. García may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20231
5 202330
6 20234
7 20222
8 202118
9 20208
10 202017
11 201910
12 201931
13 20178
14 2016311
15 2015205
16 201276
17 2010108
18 200931
19 200950
20 199811

About Jorge A. García

Jorge A. García is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Oncology, having authored 213 papers that have together received 8.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (79 papers), Renal cell carcinoma treatment (73 papers), Bladder and Urothelial Cancer Treatments (44 papers), Cancer Genomics and Diagnostics (36 papers), Cancer Immunotherapy and Biomarkers (31 papers), Renal and related cancers (31 papers), Radiopharmaceutical Chemistry and Applications (28 papers) and Urinary and Genital Oncology Studies (25 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (6.2k citations), Cancer Research (2.4k citations) and Oncology (2.1k citations). Jorge A. García has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Brian I. Rini, Robert Dreicer, Joel Picus, Nicholas J. Vogelzang, Christopher J. Sweeney, Yu‐Hui Chen, Robert S. DiPaola, Michael A. Carducci, Matthew M. Cooney and Glenn Liu. Their work appears in journals such as Nature, New England Journal of Medicine and Circulation.

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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