Fen‐Biao Gao

24.7k citations
107 papers · 8.5k indexed · 3 hit papers · h-index 49
Topics
Amyotrophic Lateral Sclerosis Research (49 papers)Neurogenetic and Muscular Disorders Research (23 papers)RNA Research and Splicing (19 papers)

In The Last Decade

Fen‐Biao Gao

105 papers receiving 8.4k citations

Hit Papers

Context-Dependent and Disease-Specific Diversity in Prote...2015202620182022201820152016200400600

Peers

Fen‐Biao Gao
Comparison fields: 5 of 135
  • Molecular Biology 5.3k
  • Neurology 2.9k
  • Cellular and Molecular Neuroscience 1.6k
  • Genetics 1.5k
  • Cell Biology 1.2k
Replace Frank Rigo with:
Frank Rigo United States
Gary J. Bassell United States
Vincent Timmerman Belgium
Brian K. Kaspar United States
Vania Broccoli Italy
Derek J. Blake United Kingdom
Antonella Consiglio Italy
Peter G. Noakes Australia
Rashmi Kothary Canada
Ronald J. Mandel United States
Fen‐Biao Gao relative to Frank Rigo United States Frank Rigo's profile →
Citations per field
00.5×3.5×
Frank Rigo · 1×
Citations per year

Countries citing papers authored by Fen‐Biao Gao

Since Specialization
Citations

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

Fields of papers citing papers by Fen‐Biao Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fen‐Biao Gao. 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 Fen‐Biao Gao. The network helps show where Fen‐Biao Gao may publish in the future.

Co-authorship network of co-authors of Fen‐Biao Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Fen‐Biao Gao. A scholar is included among the top collaborators of Fen‐Biao Gao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fen‐Biao Gao. Fen‐Biao Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 8
4 44
5 31
6 36
7 19
8 11
9 138
10 78
11 58
12 251
13 3
14 48
15 35
16 393
17 107
18 82
19 68
20 48

About Fen‐Biao Gao

Fen‐Biao Gao is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience, having authored 107 papers that have together received 8.5k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (49 papers), Neurogenetic and Muscular Disorders Research (23 papers) and RNA Research and Splicing (19 papers). The work is most often cited by research in Neurology (2.9k citations), Genetics (1.5k citations) and Aging (174 citations). Fen‐Biao Gao has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sandra Almeida, Yubing Lu, Jin‐A Lee, Yuh Nung Jan, Leonard Petrucelli, Eduardo Gascon, Bruce L. Miller, Jack D. Keene, Lily Yeh Jan and S. Tariq Ahmad. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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