Sofía Garcés
Impact in
- Pathology and Forensic Medicine top 10%
- Tumors and Oncological Cases
- Lymphoma Diagnosis and Treatment
- Infectious Diseases top 10%
- Parvovirus B19 Infection Studies
Papers in
-
- Lymphoma Diagnosis and Treatment 11
- Genetics 10
- Chronic Lymphocytic Leukemia Research 7
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- L. Jeffrey Medeiros (17 shared papers)C. Cameron Yin (12 shared papers)Shaoying Li (12 shared papers)Joseph D. Khoury (7 shared papers)Keyur P. Patel (9 shared papers)Sergio Piña‐Oviedo (2 shared papers)Juan Carlos Garcés (4 shared papers)Jingyi Li (1 shared paper)
- Journals
- Modern Pathology (5 papers)Cancers (3 papers)Human Pathology (3 papers)Leukemia Research (2 papers)Urology (1 paper)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Sofía Garcés
24 papers receiving 293 citations
Peers
Comparison fields: 5 of 38
- Pathology and Forensic Medicine 141
- Infectious Diseases 139
- Physiology 193
- Oncology 107
- Genetics 28
Countries citing papers authored by Sofía Garcés
This map shows the geographic impact of Sofía Garcés'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 Sofía Garcés with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofía Garcés more than expected).
Fields of papers citing papers by Sofía Garcés
This network shows the impact of papers produced by Sofía Garcés. 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 Sofía Garcés. The network helps show where Sofía Garcés may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofía Garcés, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 162 | |
| 2 | 2018 | 26 | |
| 3 | 2022 | 18 | |
| 4 | 2019 | 13 | |
| 5 | 2018 | 11 | |
| 6 | 2020 | 10 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2016 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2014 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 2 |
About Sofía Garcés
Sofía Garcés is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Hematology and Neurology, having authored 25 papers that have together received 295 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (7 papers), Viral-associated cancers and disorders (6 papers), Acute Myeloid Leukemia Research (4 papers), Histiocytic Disorders and Treatments (4 papers), Sarcoma Diagnosis and Treatment (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (141 citations), Infectious Diseases (139 citations), Physiology (193 citations), Oncology (107 citations) and Genetics (28 citations). Sofía Garcés has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include L. Jeffrey Medeiros, C. Cameron Yin, Shaoying Li, Joseph D. Khoury, Keyur P. Patel, Sergio Piña‐Oviedo, Juan Carlos Garcés, Jingyi Li, Jie Xu and Ana Maria Medina. Their work appears in journals such as Modern Pathology, Cancers, Human Pathology, Leukemia Research and Urology.
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.