Sofia A. Garces
Impact in
- Physiology top 10%
- Histiocytic Disorders and Treatments
- Pathology and Forensic Medicine top 10%
- Tumors and Oncological Cases
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 11
- Genetics 9
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- L. Jeffrey Medeiros (20 shared papers)Shaoying Li (12 shared papers)C. Cameron Yin (13 shared papers)Joseph David Khoury (7 shared papers)Keyur Pravinchandra Patel (10 shared papers)Juan Carlos Garcés (5 shared papers)Sergio Piña‐Oviedo (2 shared papers)Jingyi Li (1 shared paper)
- Journals
- Modern Pathology (5 papers)Cancers (4 papers)Human Pathology (3 papers)Leukemia Research (2 papers)The American Journal of Surgical Pathology (2 papers)
- Partner nations
- United StatesBrazilChile
In The Last Decade
Sofia A. Garces
31 papers receiving 426 citations
Peers
Comparison fields: 5 of 48
- Physiology 238
- Pathology and Forensic Medicine 142
- Infectious Diseases 132
- Hematology 51
- Oncology 108
Countries citing papers authored by Sofia A. Garces
This map shows the geographic impact of Sofia A. Garces'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 Sofia A. Garces with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia A. Garces more than expected).
Fields of papers citing papers by Sofia A. Garces
This network shows the impact of papers produced by Sofia A. Garces. 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 Sofia A. Garces. The network helps show where Sofia A. Garces may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofia A. Garces, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 199 | |
| 2 | 2018 | 31 | |
| 3 | 2023 | 27 | |
| 4 | 2022 | 27 | |
| 5 | 2023 | 25 | |
| 6 | 2019 | 16 | |
| 7 | 2020 | 14 | |
| 8 | 2018 | 10 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2017 | 3 |
About Sofia A. Garces
Sofia A. Garces is a scholar working on Pathology and Forensic Medicine, Genetics, Hematology, Oncology and Dermatology, having authored 32 papers that have together received 428 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 (5 papers), Histiocytic Disorders and Treatments (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Cutaneous lymphoproliferative disorders research (3 papers). The work is most often cited by research in Physiology (238 citations), Pathology and Forensic Medicine (142 citations), Infectious Diseases (132 citations), Hematology (51 citations) and Oncology (108 citations). Sofia A. Garces has collaborated with scholars based in United States, Brazil and Chile. Frequent co-authors include L. Jeffrey Medeiros, Shaoying Li, C. Cameron Yin, Joseph David Khoury, Keyur Pravinchandra Patel, Juan Carlos Garcés, Sergio Piña‐Oviedo, Jingyi Li, Jie Xu and Ana Maria Medina. Their work appears in journals such as Modern Pathology, Cancers, Human Pathology, Leukemia Research and The American Journal of Surgical Pathology.
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.