Lino Sáez

4.4k citations
36 papers · 3.5k indexed · 1 hit paper · h-index 26
Topics
Circadian rhythm and melatonin (20 papers)Light effects on plants (11 papers)Neurobiology and Insect Physiology Research (10 papers)
Partner nations
United StatesChileJapan

In The Last Decade

Lino Sáez

36 papers receiving 3.5k citations

Hit Papers

The Drosophila Clock Gene double-time Encodes a Protein C...19982026200720161998100200300400500

Peers

Lino Sáez
Comparison fields: 5 of 115
  • Endocrine and Autonomic Systems 2.5k
  • Plant Science 1.7k
  • Cellular and Molecular Neuroscience 1.2k
  • Molecular Biology 940
  • Aging 518
Replace Karen Wager‐Smith with:
Karen Wager‐Smith United States
David Staknis United States
Nicholas Gekakis United States
Michael N. Nitabach United States
Aurélio Balsalobre Canada
Emi Nagoshi Switzerland
Vivek Kumar United States
Tsuyoshi Hirota Japan
Sriram Sathyanarayanan United States
Adrian Rothenfluh United States
Lino Sáez relative to Karen Wager‐Smith United States Karen Wager‐Smith's profile →
Citations per field
00.5×1.5×
Karen Wager‐Smith · 1×
Citations per year

Countries citing papers authored by Lino Sáez

Since Specialization
Citations

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

Fields of papers citing papers by Lino Sáez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lino Sáez

This figure shows the co-authorship network connecting the top 25 collaborators of Lino Sáez. A scholar is included among the top collaborators of Lino Sáez 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 Lino Sáez. Lino Sáez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 45
2 49
3 20
4 31
5 17
6 69
7 19
8 125
9 138
10 73
11 120
12 145
13 26
14 28
15 128
16 312
17
The Drosophila Clock Gene double-time Encodes a Protein Closely Related to Human Casein Kinase Iεbreakdown →
589
18 278
19 25
20
Protein synthesis and environmental changes: a new approach to search for regulatory mechanisms.
5

About Lino Sáez

Lino Sáez is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology, having authored 36 papers that have together received 3.5k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (20 papers), Light effects on plants (11 papers) and Neurobiology and Insect Physiology Research (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.5k citations), Aging (518 citations) and Cellular and Molecular Neuroscience (1.2k citations). Lino Sáez has collaborated with scholars based in United States, Chile and Japan. Frequent co-authors include Michael W. Young, Adrian Rothenfluh, Jeffrey L. Price, Brian Kloss, Cedric S. Wesley, Amita Sehgal, Justin Blau, Leslie A. Leinwand, Nicholas Gekakis and Charles J. Weitz. 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.

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