Hsin-Lin Cheng
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Genetics
- Co-authors
- Eva L. FeldmanCatherine L. DelaneyJames W. RussellKelli A. SullivanHung‐Ming ChangHsing-Chun LinChyn‐Tair Lan
- Topics
- Growth Hormone and Insulin-like Growth Factors (4 papers)Cell death mechanisms and regulation (3 papers)Axon Guidance and Neuronal Signaling (2 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismDevelopmental NeuroscienceCellular and Molecular Neuroscience
- Journals
- Journal of Biological ChemistryAnnals of the New York Academy of SciencesJournal of Cellular Physiology
- Partner nations
- United StatesTaiwan
In The Last Decade
Hsin-Lin Cheng
8 papers receiving 557 citations
Peers
Comparison fields: 5 of 75
- Endocrinology, Diabetes and Metabolism 208
- Molecular Biology 188
- Cellular and Molecular Neuroscience 176
- Physiology 116
- Genetics 74
Countries citing papers authored by Hsin-Lin Cheng
This map shows the geographic impact of Hsin-Lin Cheng'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 Hsin-Lin Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin-Lin Cheng more than expected).
Fields of papers citing papers by Hsin-Lin Cheng
This network shows the impact of papers produced by Hsin-Lin Cheng. 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 Hsin-Lin Cheng. The network helps show where Hsin-Lin Cheng may publish in the future.
Co-authorship network of co-authors of Hsin-Lin Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Hsin-Lin Cheng. A scholar is included among the top collaborators of Hsin-Lin Cheng 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 Hsin-Lin Cheng. Hsin-Lin Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 116 | |
| 3 | 42 | |
| 4 | 187 | |
| 5 | 47 | |
| 6 | 104 | |
| 7 | 31 | |
| 8 | 26 |
About Hsin-Lin Cheng
Hsin-Lin Cheng is a scholar working on Developmental Neuroscience, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 565 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Cell death mechanisms and regulation (3 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (208 citations), Developmental Neuroscience (51 citations) and Cellular and Molecular Neuroscience (176 citations). Hsin-Lin Cheng has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Eva L. Feldman, Catherine L. Delaney, James W. Russell, James W. Russell, Kelli A. Sullivan, Hung‐Ming Chang, Hsing-Chun Lin and Chyn‐Tair Lan. Their work appears in journals such as Journal of Biological Chemistry, Annals of the New York Academy of Sciences and Journal of Cellular Physiology.
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.