Gabriel Prolla
Impact in
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
-
- Viral-associated cancers and disorders
- CAR-T cell therapy research
Papers in
-
- Genetic factors in colorectal cancer 3
- Lymphoma Diagnosis and Treatment 3
- Oncology 11
- Colorectal Cancer Treatments and Studies 5
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Roberto ChiarleGiorgio InghiramiAntonello PoddaG. J. ThorbeckeJerry Z. GongEckhard R. PodackPaulo M. HoffAnelisa K. Coutinho
- Journals
- British Journal of Haematology (2 papers)Journal of Clinical Oncology (2 papers)JAMA Network Open (1 paper)Clinical Colorectal Cancer (1 paper)JCO Global Oncology (1 paper)
- Partner nations
- BrazilUnited StatesItaly
In The Last Decade
Gabriel Prolla
17 papers receiving 416 citations
Peers
Comparison fields: 5 of 69
- Pathology and Forensic Medicine 158
- Oncology 196
- Dermatology 51
- Immunology 118
- Genetics 41
Countries citing papers authored by Gabriel Prolla
This map shows the geographic impact of Gabriel Prolla'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 Gabriel Prolla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Prolla more than expected).
Fields of papers citing papers by Gabriel Prolla
This network shows the impact of papers produced by Gabriel Prolla. 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 Gabriel Prolla. The network helps show where Gabriel Prolla may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriel Prolla, 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 | 2024 | 1 | |
| 2 | 2022 | 16 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 33 | |
| 5 | 2020 | 3 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 1 | |
| 9 | 2013 | 1 | |
| 10 | 2011 | 63 | |
| 11 | 2009 | 2 | |
| 12 | 2000 | 18 | |
| 13 | 2000 | 20 | |
| 14 | 2000 | 5 | |
| 15 | 1999 | 139 | |
| 16 | 1999 | 90 | |
| 17 | 1997 | 24 |
About Gabriel Prolla
Gabriel Prolla is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Hepatology and Otorhinolaryngology, having authored 17 papers that have together received 427 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Genetic factors in colorectal cancer (3 papers), Gastric Cancer Management and Outcomes (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (158 citations), Oncology (196 citations), Dermatology (51 citations), Immunology (118 citations) and Genetics (41 citations). Gabriel Prolla has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Roberto Chiarle, Giorgio Inghirami, Antonello Podda, G. J. Thorbecke, Jerry Z. Gong, Eckhard R. Podack, Paulo M. Hoff, Anelisa K. Coutinho, Everardo D. Saad and Frederico Costa. Their work appears in journals such as British Journal of Haematology, Journal of Clinical Oncology, JAMA Network Open, Clinical Colorectal Cancer and JCO Global Oncology.
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.