Fu‐Chia Yang

1.6k citations
16 papers · 1.3k · h-index 15

Impact in

Papers in

Fu‐Chia Yang

16 papers receiving 1.3k citations

Peers

Fu‐Chia Yang
Comparison fields: 5 of 95
  • Endocrine and Autonomic Systems 467
  • Aging 84
  • Cellular and Molecular Neuroscience 401
  • Developmental Neuroscience 50
  • Cell Biology 193
Replace Quasar Saleem Padiath with:
Quasar Saleem Padiath United States
Ernesto F. Moreira United States
Olga Varlamova United States
Christof Schomerus Germany
Natalia Fedtsova United States
Christine F. Morrison United Kingdom
Kamon Sanada Japan
Louvenia Carter‐Dawson United States
Jennifer L. Ecker United States
Fu‐Chia Yang relative to Quasar Saleem Padiath United States Quasar Saleem Padiath's profile →
Citations per field
00.5×1.5×
Quasar Saleem Padiath · 1×
Citations per year

Countries citing papers authored by Fu‐Chia Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fu‐Chia Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu‐Chia Yang. 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 Fu‐Chia Yang. The network helps show where Fu‐Chia Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Fu‐Chia Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fu‐Chia Yang Line = papers co-authored together Fu‐Chia Yang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2001416
2 2000299
3 1997111
4 1997107
5 200768
6 201039
7 201334
8 201232
9 201130
10 201529
11 200528
12 199621
13 200317
14 201317
15 201414
16 20246

About Fu‐Chia Yang

Fu‐Chia Yang is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Physiology, Molecular Biology and Cognitive Neuroscience, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (5 papers), Pain Mechanisms and Treatments (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Dietary Effects on Health (2 papers), Sleep and Wakefulness Research (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (467 citations), Aging (84 citations), Cellular and Molecular Neuroscience (401 citations), Developmental Neuroscience (50 citations) and Cell Biology (193 citations). Fu‐Chia Yang has collaborated with scholars based in United States, Germany and Taiwan. Frequent co-authors include Morgan Sheng, Achim Kramer, Charles J. Weitz, Yi‐Ping Hsueh, Ting‐Fang Wang, Pamela Snodgrass, Thomas E. Scammell, Fred C. Davis, Xiaodong Li and Qiufu Ma. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience, Cell Reports, BioTechniques and Nature.

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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