Fernando Dangond

4.7k citations
94 papers · 3.3k · 1 hit paper · h-index 26

Impact in

Papers in

Fernando Dangond

93 papers receiving 3.2k citations

Fernando Dangond's Hit Papers

Placebo-Controlled Trial of an Oral BTK Inhibitor in Multiple Sclerosis 2019 · 245 citations
2450+2+4Years since publication50100150200

Peers

Fernando Dangond
Comparison fields: 5 of 104
  • Pathology and Forensic Medicine 1.2k
  • Neurology 300
  • Neurology 515
  • Immunology 705
  • Genetics 300
Replace Mark Wing with:
Mark Wing United Kingdom
Masaaki Niino Japan
Martin S. Weber Germany
A Wajgt Poland
Clas Malmeström Sweden
Brigit A. de Jong Netherlands
Martin Toal United States
Sara J. Piddlesden United Kingdom
Paolo A. Muraro United Kingdom
Thomas Prod’homme United States
Fernando Dangond relative to Mark Wing United Kingdom Mark Wing's profile →
Citations per field
00.5×6.7×
Mark Wing · 1×
Citations per year

Countries citing papers authored by Fernando Dangond

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Fernando Dangond Line = papers co-authored together Fernando Dangond links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995381
2 2005293
3 2017251
4
Placebo-Controlled Trial of an Oral BTK Inhibitor in Multiple Sclerosis
Hit paper breakdown →
2019245
5 2005229
6 2004119
7 2005115
8 2019100
9 199896
10 199888
11 200684
12 201980
13 200472
14 200752
15 199452
16 199251
17 201750
18 202047
19 201847
20 199546

About Fernando Dangond

Fernando Dangond is a scholar working on Pathology and Forensic Medicine, Genetics, Molecular Biology, Oncology and Immunology, having authored 94 papers that have together received 3.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (51 papers), Chronic Lymphocytic Leukemia Research (15 papers), Histone Deacetylase Inhibitors Research (9 papers), Chronic Myeloid Leukemia Treatments (6 papers), Protein Degradation and Inhibitors (5 papers), Polyomavirus and related diseases (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.2k citations), Neurology (300 citations), Neurology (515 citations), Immunology (705 citations) and Genetics (300 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, Stuart D. Cook, Antonio Iglesias and M. Nicola Woodroofe. Their work appears in journals such as Neurology, Multiple Sclerosis and Related Disorders, Journal of Neuroimmunology, BMC Neurology and Multiple Sclerosis Journal.

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.

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