Armando Flor
Impact in
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
- Systemic Sclerosis and Related Diseases
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- Peripheral Neuropathies and Disorders
Papers in
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- Multiple Sclerosis Research Studies 3
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- Sexual Differentiation and Disorders 2
- Metabolism, Diabetes, and Cancer 1
- Co-authors
- Kaushik Patra (3 shared papers)Eliezer Katz (3 shared papers)Gerard Barron (2 shared papers)Soraya Madani (2 shared papers)Kevin M. Barnes (2 shared papers)Gordon B. Cutler (2 shared papers)Angela Williams (1 shared paper)G. Isherwood (1 shared paper)
- Journals
- Multiple Sclerosis Journal (2 papers)Arthritis Research & Therapy (1 paper)CPT Pharmacometrics & Systems Pharmacology (1 paper)Clinical Pharmacokinetics (1 paper)The Journal of Pediatrics (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Armando Flor
8 papers receiving 305 citations
Peers
Comparison fields: 5 of 56
- Pathology and Forensic Medicine 183
- Neurology 91
- Reproductive Medicine 38
- Immunology 88
- Rheumatology 36
Countries citing papers authored by Armando Flor
This map shows the geographic impact of Armando Flor'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 Armando Flor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armando Flor more than expected).
Fields of papers citing papers by Armando Flor
This network shows the impact of papers produced by Armando Flor. 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 Armando Flor. The network helps show where Armando Flor may publish in the future.
Co-authors
The 25 scholars most cited alongside Armando Flor, 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 | 2017 | 97 | |
| 2 | 2016 | 60 | |
| 3 | 2015 | 52 | |
| 4 | 2004 | 44 | |
| 5 | 2014 | 38 | |
| 6 | 2017 | 18 | |
| 7 | 2023 | 4 | |
| 8 | 2024 | 2 |
About Armando Flor
Armando Flor is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Neurology and Reproductive Medicine, having authored 8 papers that have together received 315 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (3 papers), Diabetes Treatment and Management (2 papers), Peripheral Neuropathies and Disorders (2 papers), Sexual Differentiation and Disorders (2 papers), Hypothalamic control of reproductive hormones (2 papers), Pancreatic function and diabetes (1 paper), Hereditary Neurological Disorders (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (183 citations), Neurology (91 citations), Reproductive Medicine (38 citations), Immunology (88 citations) and Rheumatology (36 citations). Armando Flor has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Kaushik Patra, Eliezer Katz, Gerard Barron, Soraya Madani, Kevin M. Barnes, Gordon B. Cutler, Angela Williams, G. Isherwood, Jeffrey Vietri and Gabriela Kłodowska-Duda. Their work appears in journals such as Multiple Sclerosis Journal, Arthritis Research & Therapy, CPT Pharmacometrics & Systems Pharmacology, Clinical Pharmacokinetics and The Journal of Pediatrics.
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.