Filip Lim

4.2k citations
87 papers · 3.6k · h-index 34

Impact in

Papers in

Filip Lim

86 papers receiving 3.5k citations

Peers

Filip Lim
Comparison fields: 5 of 142
  • Developmental Neuroscience 418
  • Cellular and Molecular Neuroscience 1.1k
  • Physiology 724
  • Neurology 204
  • Cell Biology 405
Replace Spartaco Santi with:
Spartaco Santi Italy
Päivi Lindholm Finland
Stevens Kastrup Rehen Brazil
Dana C. Hilt United States
Paul E. Neumann Canada
Paul S. Fishman United States
Ying Jones United States
Stefan Leo Frank Germany
Miguel Sena‐Esteves United States
Tomoyuki Yoshida Japan
Filip Lim relative to Spartaco Santi Italy Spartaco Santi's profile →
Citations per field
00.5×1.5×
Spartaco Santi · 1×
Citations per year

Countries citing papers authored by Filip Lim

Since Specialization
Citations

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

Fields of papers citing papers by Filip Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996293
2 1996242
3 2001174
4 2011173
5 2003157
6 2005136
7 1996125
8 2009123
9 1998122
10 1992122
11 2015113
12 198891
13 200166
14 200465
15 200865
16 200062
17 201461
18 201460
19 200954
20 199952

About Filip Lim

Filip Lim is a scholar working on Cellular and Molecular Neuroscience, Genetics, Developmental Neuroscience, Epidemiology and Molecular Biology, having authored 87 papers that have together received 3.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (23 papers), Herpesvirus Infections and Treatments (23 papers), Nerve injury and regeneration (16 papers), Alzheimer's disease research and treatments (10 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Genetic Neurodegenerative Diseases (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Developmental Neuroscience (418 citations), Cellular and Molecular Neuroscience (1.1k citations), Physiology (724 citations), Neurology (204 citations) and Cell Biology (405 citations). Filip Lim has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Jesús Ávila, Javier Díaz‐Nido, Alfred I. Geller, Mar Pérez, Félix Hernández, John C. Wallace, Alfredo Giménez-Cassina, Phung Lang, Linda Chia‐Hui Yu and Siwei Song. Their work appears in journals such as Molecular Therapy, Journal of Neurochemistry, Current Protocols in Neuroscience, Journal of Alzheimer s Disease and Virology.

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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