Fabian Flores‐Borja
- Immunology top 1%
- Immune Cell Function and Interaction 16
- T-cell and B-cell Immunology 13
- Immunotherapy and Immune Responses 8
- Immune cells in cancer 4
- Transplantation top 5%
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research 9
- Immunology and Allergy top 5%
- Oncology top 10%
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- Sphingolipid Metabolism and Signaling 3
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- Mesenchymal stem cell research 2
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- David IsenbergClaudia MauriMichael R. EhrensteinPaul A. BlairElizabeth C. JuryDavid J. RawlingsPanagiotis S. KabouridisRizgar A. Mageed
- Partner nations
- United KingdomMexicoUnited States
In The Last Decade
Fabian Flores‐Borja
33 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Immunology 2.2k
- Transplantation 123
- Rheumatology 606
- Immunology and Allergy 126
- Oncology 416
Countries citing papers authored by Fabian Flores‐Borja
This map shows the geographic impact of Fabian Flores‐Borja'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 Fabian Flores‐Borja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Flores‐Borja more than expected).
Fields of papers citing papers by Fabian Flores‐Borja
This network shows the impact of papers produced by Fabian Flores‐Borja. 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 Fabian Flores‐Borja. The network helps show where Fabian Flores‐Borja may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fabian Flores‐Borja, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2023 | 22 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 33 | |
| 7 | 2020 | 3 | |
| 8 | 2018 | 2 | |
| 9 | 2017 | 95 | |
| 10 | 2015 | 29 | |
| 11 | CD19 + CD24 hi CD38 hi B Cells Maintain Regulatory T Cells While Limiting T H 1 and T H 17 Differentiationbreakdown → | 2013 | 539 |
| 12 | 2013 | 1 | |
| 13 | CD19+CD24hiCD38hi B Cells Exhibit Regulatory Capacity in Healthy Individuals but Are Functionally Impaired in Systemic Lupus Erythematosus Patientsbreakdown → | 2010 | 1227 |
| 14 | 2009 | 46 | |
| 15 | 2007 | 105 | |
| 16 | 2006 | 44 | |
| 17 | 2005 | 96 | |
| 18 | 2004 | 137 | |
| 19 | 2004 | 9 | |
| 20 | 1999 | 15 |
About Fabian Flores‐Borja
Fabian Flores‐Borja is a scholar working on Immunology, Rheumatology and Genetics, having authored 34 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (13 papers), Systemic Lupus Erythematosus Research (9 papers), Immunotherapy and Immune Responses (8 papers), Immune cells in cancer (4 papers), Sphingolipid Metabolism and Signaling (3 papers), Mesenchymal stem cell research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Immunology (2.2k citations), Transplantation (123 citations) and Rheumatology (606 citations). Fabian Flores‐Borja has collaborated with scholars based in United Kingdom, Mexico and United States. Frequent co-authors include David Isenberg, Claudia Mauri, Michael R. Ehrenstein, Paul A. Blair, Elizabeth C. Jury, David J. Rawlings, Panagiotis S. Kabouridis, Rizgar A. Mageed, Venkat Reddy and Anneleen Bosma.
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.