Fang‐Tsyr Lin

7.5k citations
46 papers · 6.3k indexed · 4 hit papers · h-index 33
Topics
Receptor Mechanisms and Signaling (13 papers)DNA Repair Mechanisms (11 papers)Cancer-related Molecular Pathways (11 papers)

In The Last Decade

Fang‐Tsyr Lin

46 papers receiving 6.2k citations

Hit Papers

β-Arrestin-Dependent Formation of β 2 Adrenergic Receptor...199920262008201719991999200020004008001.2k

Peers

Fang‐Tsyr Lin
Comparison fields: 5 of 98
  • Molecular Biology 5.4k
  • Cellular and Molecular Neuroscience 3.0k
  • Oncology 855
  • Physiology 669
  • Cell Biology 646
Replace Kristen L. Pierce with:
Kristen L. Pierce United States
Seungkirl Ahn United States
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Fang‐Tsyr Lin relative to Kristen L. Pierce United States Kristen L. Pierce's profile →
Citations per field
00.5×1.6×
Kristen L. Pierce · 1×
Citations per year

Countries citing papers authored by Fang‐Tsyr Lin

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐Tsyr Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang‐Tsyr 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 Fang‐Tsyr Lin. The network helps show where Fang‐Tsyr Lin may publish in the future.

Co-authorship network of co-authors of Fang‐Tsyr Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Fang‐Tsyr Lin. A scholar is included among the top collaborators of Fang‐Tsyr 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 Fang‐Tsyr Lin. Fang‐Tsyr Lin 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 1
2 5
3 23
4 8
5 58
6 32
7 17
8 52
9 59
10 58
11 28
12 81
13 127
14 58
15 44
16 139
17
μ-Opioid receptor desensitization by β-arrestin-2 determines morphine tolerance but not dependencebreakdown →
753
18 121
19
Enhanced Morphine Analgesia in Mice Lacking β-Arrestin 2breakdown →
830
20 160

About Fang‐Tsyr Lin

Fang‐Tsyr Lin is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 6.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), DNA Repair Mechanisms (11 papers) and Cancer-related Molecular Pathways (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.0k citations), Molecular Biology (5.4k citations) and Cell Biology (646 citations). Fang‐Tsyr Lin has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Robert J. Lefkowitz, Marc G. Caron, Raul R. Gainetdinov, Laura Bohn, William E. Miller, Yehia Daaka, Weei-Chin Lin, Karsten Peppel, Stephen S. G. Ferguson and Louis M. Luttrell. Their work appears in journals such as Nature, Science 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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