Chia Li

4.3k citations
40 papers · 2.5k · h-index 24

Impact in

Papers in

Chia Li

37 papers receiving 2.5k citations

Peers

Chia Li
Comparison fields: 5 of 106
  • Endocrine and Autonomic Systems 991
  • Behavioral Neuroscience 271
  • Cellular and Molecular Neuroscience 981
  • Biological Psychiatry 87
  • Cognitive Neuroscience 615
Replace Marta E. Soden with:
Marta E. Soden United States
Jon M. Resch United States
Montserrat Navarro United States
Unga A. Unmehopa Netherlands
David P.D. Woldbye Denmark
Graciela Sanchez‐Watts United States
Gina M. Leinninger United States
Joseph C. Madara United States
Jong‐Woo Sohn South Korea
Jessica R. Barson United States
Chia Li relative to Marta E. Soden United States Marta E. Soden's profile →
Citations per field
00.5×1.5×2.0×
Marta E. Soden · 1×
Citations per year

Countries citing papers authored by Chia Li

Since Specialization
Citations

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

Fields of papers citing papers by Chia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chia Li, 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 Chia Li Line = papers co-authored together Chia Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015343
2 2016208
3 2012196
4 2016172
5 2015131
6 2012126
7 2020125
8 2016123
9 2012119
10 2018111
11 201787
12 201680
13 201868
14 201967
15 201465
16 201264
17 202261
18 202159
19 201457
20 202143

About Chia Li

Chia Li is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Molecular Biology, Cognitive Neuroscience and Physiology, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (12 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Biochemical Analysis and Sensing Techniques (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuroendocrine regulation and behavior (5 papers), Receptor Mechanisms and Signaling (5 papers), Circadian rhythm and melatonin (5 papers) and Memory and Neural Mechanisms (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (991 citations), Behavioral Neuroscience (271 citations), Cellular and Molecular Neuroscience (981 citations), Biological Psychiatry (87 citations) and Cognitive Neuroscience (615 citations). Chia Li has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Michael J. Krashes, Thomas L. Kash, Kristen E. Pleil, Bradford B. Lowell, Emily S. Webber, Emily G. Lowery‐Gionta, Jennifer S. Steger, Alastair S. Garfield, Joseph C. Madara and David P. Olson. Their work appears in journals such as Nature Neuroscience, Cell Metabolism, Neuron, Neuropharmacology and Biological Psychiatry.

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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