Armando Flor
Impact in
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
- Systemic Sclerosis and Related Diseases
- Reproductive Medicine top 10%
- Hypothalamic control of reproductive hormones
Papers in
-
- Multiple Sclerosis Research Studies 3
- Systemic Sclerosis and Related Diseases 1
-
- Diabetes Treatment and Management 2
- Co-authors
- Kaushik Patra (3 shared papers)Eliezer Katz (3 shared papers)Kevin M. Barnes (2 shared papers)Gordon B. Cutler (2 shared papers)Soraya Madani (2 shared papers)Gerard Barron (2 shared papers)Martina Weise (1 shared paper)Jeffrey Baron (1 shared paper)
- Journals
- Multiple Sclerosis Journal (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)CPT Pharmacometrics & Systems Pharmacology (1 paper)Arthritis Research & Therapy (1 paper)Clinical Pharmacokinetics (1 paper)
- Partner nations
- United StatesUnited KingdomHungary
In The Last Decade
Armando Flor
8 papers receiving 328 citations
Peers
Comparison fields: 5 of 42
- Pathology and Forensic Medicine 182
- Reproductive Medicine 47
- Neurology 60
- Immunology 78
- Rheumatology 31
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 | 109 | |
| 2 | 2016 | 63 | |
| 3 | 2004 | 53 | |
| 4 | 2015 | 52 | |
| 5 | 2014 | 38 | |
| 6 | 2017 | 21 | |
| 7 | 2023 | 5 | |
| 8 | 2024 | 2 |
About Armando Flor
Armando Flor is a scholar working on Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Molecular Biology and Pharmacology, having authored 8 papers that have together received 343 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (3 papers), Hypothalamic control of reproductive hormones (2 papers), Diabetes Treatment and Management (2 papers), Estrogen and related hormone effects (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Fibromyalgia and Chronic Fatigue Syndrome Research (1 paper), Systemic Sclerosis and Related Diseases (1 paper) and Sexual Differentiation and Disorders (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (182 citations), Reproductive Medicine (47 citations), Neurology (60 citations), Immunology (78 citations) and Rheumatology (31 citations). Armando Flor has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Kaushik Patra, Eliezer Katz, Kevin M. Barnes, Gordon B. Cutler, Soraya Madani, Gerard Barron, Martina Weise, Jeffrey Baron, Gabriela Kłodowska-Duda and Mark Agius. Their work appears in journals such as Multiple Sclerosis Journal, The Journal of Clinical Endocrinology & Metabolism, CPT Pharmacometrics & Systems Pharmacology, Arthritis Research & Therapy and Clinical Pharmacokinetics.
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.