Tiffany V. Lin

803 citations
14 papers · 609 indexed · h-index 11
Topics
PI3K/AKT/mTOR signaling in cancer (4 papers)Neurogenesis and neuroplasticity mechanisms (4 papers)Tuberous Sclerosis Complex Research (3 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Tiffany V. Lin

14 papers receiving 605 citations

Peers

Tiffany V. Lin
Comparison fields: 5 of 72
  • Molecular Biology 431
  • Physiology 143
  • Cancer Research 117
  • Cellular and Molecular Neuroscience 101
  • Genetics 98
Replace Magdalena A. Petryniak with:
Magdalena A. Petryniak United States
Li Ku United States
Bridget E. Berechid United States
Hiroaki Kanki Japan
Nathaniel W. Hartman United States
Joy X Lei Canada
Antonia De Maio United States
Yaohong Wu United States
Lohith Madireddy United States
Poh Hui Chia United States
Tiffany V. Lin relative to Magdalena A. Petryniak United States Magdalena A. Petryniak's profile →
Citations per field
00.5×1.5×2.0×
Magdalena A. Petryniak · 1×
Citations per year

Countries citing papers authored by Tiffany V. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tiffany V. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiffany V. Lin. 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 Tiffany V. Lin. The network helps show where Tiffany V. Lin may publish in the future.

Co-authorship network of co-authors of Tiffany V. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Tiffany V. Lin. A scholar is included among the top collaborators of Tiffany V. Lin 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 Tiffany V. Lin. Tiffany V. Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 22
2 5
3 13
4 3
5 44
6 32
7 6
8 49
9 31
10 104
11 41
12 79
13 70
14 110

About Tiffany V. Lin

Tiffany V. Lin is a scholar working on Developmental Neuroscience, Cell Biology and Sensory Systems, having authored 14 papers that have together received 609 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Tuberous Sclerosis Complex Research (3 papers). The work is most often cited by research in Developmental Neuroscience (95 citations), Cancer Research (117 citations) and Molecular Biology (431 citations). Tiffany V. Lin has collaborated with scholars based in United States, China and France. Frequent co-authors include Angélique Bordey, Longbo Zhang, David M. Feliciano, Lawrence S. Hsieh, Nathaniel W. Hartman, Carlos Lafourcade, Christopher M. Bartley, Xuan Gong, Manav Pathania and David Van Vactor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

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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