Linus Tsai

40 papers receiving 4.3k citations

Linus Tsai's Hit Papers

A molecular census of arcuate hypothalamus and median eminence cell types 2017 · 577 citations
5770+4+8Years since publication250500750

Peers

Linus Tsai
Comparison fields: 5 of 127
  • Endocrine and Autonomic Systems 518
  • Aging 127
  • Physiology 1.2k
  • Cellular and Molecular Neuroscience 841
  • Rehabilitation 201
Replace Troy A. Hornberger with:
Troy A. Hornberger United States
Colleen M. Novak United States
Lucia Notterpek United States
Nirinjini Naidoo United States
Melanie Clements United Kingdom
Chen-Yu Zhang United States
Kenneth A. Dyar Germany
Lan Bao China
Cynthia J. Donaldson United States
Louise M. Bilezikjian United States
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Citations per field
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Citations per year

Countries citing papers authored by Linus Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Linus Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Charting a dynamic DNA methylation landscape of the human genome
Hit paper breakdown →
2013951
2
A molecular census of arcuate hypothalamus and median eminence cell types
Hit paper breakdown →
2017577
3 2014367
4 2000252
5 2005185
6 2018178
7 2018169
8 2002147
9 2021134
10 1994117
11 2019105
12 2006102
13 201794
14 201384
15 201775
16 202175
17 202175
18 201663
19 199759
20 201458

About Linus Tsai

Linus Tsai is a scholar working on Physiology, Molecular Biology, Epidemiology, Cellular and Molecular Neuroscience and Cell Biology, having authored 43 papers that have together received 4.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), Neurobiology and Insect Physiology Research (10 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Exercise and Physiological Responses (6 papers), Muscle metabolism and nutrition (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (518 citations), Aging (127 citations), Physiology (1.2k citations), Cellular and Molecular Neuroscience (841 citations) and Rehabilitation (201 citations). Linus Tsai has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Evan D. Rosen, Ulrike Heberlein, Danielle Tenen, Roland J. Bainton, Anna Lyubetskaya, Michael J. Ziller, Alexander Meissner, Hongcang Gu, Julie Donaghey and David A. Bennett. Their work appears in journals such as Cell Metabolism, eLife, Cell Reports, Molecular Metabolism and Neuron.

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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