Daniel Fil

473 citations
21 papers · 313 indexed · h-index 9

Impact in

Papers in

    • Adenosine and Purinergic Signaling 2
    • interferon and immune responses 4
    • Immune Cell Function and Interaction 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2

Daniel Fil

19 papers receiving 313 citations

Peers

Daniel Fil
Comparison fields: 5 of 63
  • Biological Psychiatry 26
  • Physiology 38
  • Neurology 64
  • Behavioral Neuroscience 23
  • Physiology 93
Replace Claire Tronel with:
Claire Tronel France
Maria Burkovetskaya United States
Gonzalo Ureta United States
Takahito Inoue Japan
Paloma A. Harcha Chile
Ao-Wang Qiu China
Myrthe Mampay United Kingdom
Isaac Treviño United States
Xiaolu Zhang United States
Srinidhi Venkatesan Kalavai United States
Daniel Fil relative to Claire Tronel France Claire Tronel's profile →
Citations per field
00.5×1.5×
Claire Tronel · 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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201766
2 200845
3 201931
4 201127
5 201126
6 200825
7 201324
8 201114
9 202010
10 20188
11 20218
12 20096
13 20236
14 20236
15 20144
16 20234
17 20231
18 20231
19 20231
20 20250

About Daniel Fil

Daniel Fil is a scholar working on Physiology, Immunology, Gastroenterology, Behavioral Neuroscience and Neurology, having authored 21 papers that have together received 313 indexed citations. Recurring topics across this work include interferon and immune responses (4 papers), Genetic Neurodegenerative Diseases (3 papers), Immune Cell Function and Interaction (3 papers), Mitochondrial Function and Pathology (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Adenosine and Purinergic Signaling (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Biological Psychiatry (26 citations), Physiology (38 citations), Neurology (64 citations), Behavioral Neuroscience (23 citations) and Physiology (93 citations). Daniel Fil has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include G. Konat�, S. Jamal Mustafa, Stephen L. Tilley, Jill S. Napierala, Марек Напиерала, Habib R. Ansari, Jixue Li, Mohammed S. El‐Awady, Natalia Rozwadowska and John McDermott. Their work appears in journals such as Frontiers in Cellular Neuroscience, iScience, Scientific Reports, Journal of Pharmacology and Experimental Therapeutics and Molecular Genetics and Metabolism.

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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