Daniel Fil

494 citations
22 papers · 409 · h-index 10

Impact in

    • Tryptophan and brain disorders
  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Daniel Fil

20 papers receiving 406 citations

Peers

Daniel Fil
Comparison fields: 5 of 60
  • Biological Psychiatry 26
  • Neurology 77
  • Physiology 39
  • Behavioral Neuroscience 23
  • Neurology 83
Replace Jon Iker Etchegaray with:
Jon Iker Etchegaray United States
Keiko Morimoto Japan
Takahito Inoue Japan
Jonathan A. Fidler United States
Daita Kaneda Japan
Zongbing Hao China
Lahouari Amar France
Isaac Treviño United States
Evelyn M. Wesseling Netherlands
Daniel Fil relative to Jon Iker Etchegaray United States Jon Iker Etchegaray's profile →
Citations per field
00.5×2×3.3×
Jon Iker Etchegaray · 1×
Citations per year

Countries citing papers authored by Daniel Fil

Since Specialization
Citations

This map shows the geographic impact of Daniel Fil'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 Daniel Fil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fil more than expected).

Fields of papers citing papers by Daniel Fil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Fil. 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 Daniel Fil. The network helps show where Daniel Fil may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Fil, 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 Daniel Fil Line = papers co-authored together Daniel Fil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201678
2 201767
3 200848
4 201933
5 201127
6 201127
7 200825
8 201324
9 201115
10 202013
11 20189
12 20219
13 20238
14 20096
15 20236
16 20235
17 20144
18 20233
19 20231
20 20251

About Daniel Fil

Daniel Fil is a scholar working on Immunology, Cellular and Molecular Neuroscience, Genetics, Molecular Biology and Physiology, having authored 22 papers that have together received 409 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (5 papers), Mitochondrial Function and Pathology (4 papers), interferon and immune responses (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Immune Cell Function and Interaction (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Lysosomal Storage Disorders Research (2 papers). The work is most often cited by research in Biological Psychiatry (26 citations), Neurology (77 citations), Physiology (39 citations), Behavioral Neuroscience (23 citations) and Neurology (83 citations). Daniel Fil has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Gregory W. Konat, Stephen L. Tilley, S. Jamal Mustafa, Jill S. Napierala, Марек Напиерала, Jixue Li, Natalia Rozwadowska, Habib R. Ansari, Mohammed S. El‐Awady and John McDermott. Their work appears in journals such as Frontiers in Cellular Neuroscience, Disease Models & Mechanisms, Molecular Therapy — Methods & Clinical Development, Stem Cell Research and Journal of Pharmacology and Experimental Therapeutics.

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.

Explore authors with similar magnitude of impact