Fernando Dangond
Impact in
- Pathology and Forensic Medicine top 0.5%
- Multiple Sclerosis Research Studies
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Multiple Sclerosis Research Studies 51
- Oncology 25
- Polyomavirus and related diseases 14
- Co-authors
- David A. Hafler (4 shared papers)Gavin Giovannoni (19 shared papers)Steven G. Gray (6 shared papers)Steven R. Gullans (4 shared papers)Sandra Camelo (6 shared papers)Anja Windhagen (2 shared papers)Patrick Vermersch (19 shared papers)Antonio Iglesias (6 shared papers)
- Journals
- Neurology (18 papers)Multiple Sclerosis and Related Disorders (6 papers)BMC Neurology (5 papers)Multiple Sclerosis Journal (5 papers)Journal of Neuroimmunology (5 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Fernando Dangond
93 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 110
- Pathology and Forensic Medicine 1.3k
- Genetics 432
- Neurology 614
- Neurology 329
- Immunology 809
Countries citing papers authored by Fernando Dangond
This map shows the geographic impact of Fernando Dangond'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 Fernando Dangond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Dangond more than expected).
Fields of papers citing papers by Fernando Dangond
This network shows the impact of papers produced by Fernando Dangond. 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 Fernando Dangond. The network helps show where Fernando Dangond may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Dangond, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 381 | |
| 2 | 2005 | 290 | |
| 3 | 2017 | 243 | |
| 4 | 2019 | 238 | |
| 5 | 2005 | 230 | |
| 6 | 2004 | 120 | |
| 7 | 2005 | 115 | |
| 8 | 1998 | 96 | |
| 9 | 2019 | 96 | |
| 10 | 1998 | 87 | |
| 11 | 2006 | 83 | |
| 12 | 2019 | 79 | |
| 13 | 2004 | 72 | |
| 14 | 2007 | 52 | |
| 15 | 1994 | 51 | |
| 16 | 1992 | 50 | |
| 17 | 2017 | 48 | |
| 18 | 2020 | 46 | |
| 19 | 2018 | 46 | |
| 20 | 1995 | 46 |
About Fernando Dangond
Fernando Dangond is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Molecular Biology and Neurology, having authored 94 papers that have together received 3.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (51 papers), Chronic Lymphocytic Leukemia Research (18 papers), Polyomavirus and related diseases (14 papers), Acute Lymphoblastic Leukemia research (11 papers), Histone Deacetylase Inhibitors Research (9 papers), Chronic Myeloid Leukemia Treatments (9 papers), Systemic Lupus Erythematosus Research (9 papers) and Peripheral Neuropathies and Disorders (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.3k citations), Genetics (432 citations), Neurology (614 citations), Neurology (329 citations) and Immunology (809 citations). Fernando Dangond has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include David A. Hafler, Gavin Giovannoni, Steven G. Gray, Steven R. Gullans, Sandra Camelo, Anja Windhagen, Patrick Vermersch, Antonio Iglesias, M. L. Cuzner and Carrie Strand. Their work appears in journals such as Neurology, Multiple Sclerosis and Related Disorders, BMC Neurology, Multiple Sclerosis Journal and Journal of Neuroimmunology.
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.