Lynda Chin
- Molecular Biology top 0.05%
- Oncology top 0.1%
- Cancer Research top 0.05%
- Physiology top 0.2%
- Cell Biology top 0.2%
- Co-authors
- Ronald A. DePinhoCameron BrennanLevi A. GarrawayCarlos Cordon‐CardoHan‐Woong LeeP. Andrew FutrealKeith L. LigonAlexei Protopopov
- Topics
- Melanoma and MAPK Pathways (29 papers)Cancer Genomics and Diagnostics (27 papers)Cancer-related Molecular Pathways (16 papers)
- Cited by
- AgingCancer ResearchOncology
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Lynda Chin
158 papers receiving 28.9k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Molecular Biology 20.4k
- Oncology 9.3k
- Cancer Research 6.7k
- Physiology 3.9k
- Cell Biology 2.9k
Countries citing papers authored by Lynda Chin
This map shows the geographic impact of Lynda Chin'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 Lynda Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynda Chin more than expected).
Fields of papers citing papers by Lynda Chin
This network shows the impact of papers produced by Lynda Chin. 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 Lynda Chin. The network helps show where Lynda Chin may publish in the future.
Co-authorship network of co-authors of Lynda Chin
This figure shows the co-authorship network connecting the top 25 collaborators of Lynda Chin. A scholar is included among the top collaborators of Lynda Chin 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 Lynda Chin. Lynda Chin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 116 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 73 | |
| 6 | 69 | |
| 7 | 101 | |
| 8 | 54 | |
| 9 | 137 | |
| 10 | 225 | |
| 11 | Coactivation of Receptor Tyrosine Kinases Affects the Response of Tumor Cells to Targeted Therapiesbreakdown → | 699 |
| 12 | 38 | |
| 13 | 54 | |
| 14 | 32 | |
| 15 | 94 | |
| 16 | 140 | |
| 17 | 101 | |
| 18 | 17 | |
| 19 | Mouse Sin3A interacts with and can functionally substitute for the amino-terminal repression of the Myc antagonist Mxi1. | 36 |
| 20 | Evolutionary relationships and functional conservation among vertebrate Max-associated proteins: the zebra fish homolog of Mxi1. | 25 |
About Lynda Chin
Lynda Chin is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 160 papers that have together received 29.4k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (29 papers), Cancer Genomics and Diagnostics (27 papers) and Cancer-related Molecular Pathways (16 papers). The work is most often cited by research in Aging (934 citations), Cancer Research (6.7k citations) and Oncology (9.3k citations). Lynda Chin has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Ronald A. DePinho, Cameron Brennan, Levi A. Garraway, Carlos Cordon‐Cardo, Han‐Woong Lee, P. Andrew Futreal, Keith L. Ligon, Alexei Protopopov, Geoffrey J. Gottlieb and William C. Hahn. Their work appears in journals such as Nature, Science and Cell.
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.