Tiffany V. Lin

17 total papers · 797 total citations
14 papers, 605 citations indexed

About

Tiffany V. Lin is a scholar working on Molecular Biology, Cell Biology and Developmental Neuroscience. According to data from OpenAlex, Tiffany V. Lin has authored 14 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Developmental Neuroscience. Recurrent topics in Tiffany V. Lin's work include Neurogenesis and neuroplasticity mechanisms (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Tuberous Sclerosis Complex Research (3 papers). Tiffany V. Lin is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Tuberous Sclerosis Complex Research (3 papers). Tiffany V. Lin collaborates with scholars based in United States, China and France. Tiffany V. Lin's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Tiffany V. Lin

14 papers receiving 601 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tiffany V. Lin	428	143	117	100	97	14	605
Jason J. Siu	346 0.8×	110 0.8×	144 1.2×	83 0.8×	86 0.9×	18	677
Joelle Makoukji	351 0.8×	67 0.5×	77 0.7×	141 1.4×	55 0.6×	21	600
Laurence Borgs	305 0.7×	80 0.6×	123 1.1×	100 1.0×	43 0.4×	12	639
Magdalena A. Petryniak	415 1.0×	169 1.2×	95 0.8×	184 1.8×	81 0.8×	8	681
Helen Fong	412 1.0×	104 0.7×	72 0.6×	65 0.7×	51 0.5×	14	609
Carlos E. Pedraza	281 0.7×	110 0.8×	80 0.7×	151 1.5×	60 0.6×	11	512
Danqiong Sun	384 0.9×	83 0.6×	116 1.0×	69 0.7×	55 0.6×	11	626
Pallavi P. Gopal	376 0.9×	106 0.7×	72 0.6×	102 1.0×	38 0.4×	25	696
Sébastien Mella	410 1.0×	103 0.7×	58 0.5×	46 0.5×	104 1.1×	19	566
Małgorzata Perycz	355 0.8×	89 0.6×	44 0.4×	144 1.4×	104 1.1×	13	544

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

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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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