María S. Robles

3.2k citations
23 papers · 1.9k indexed · h-index 14
Topics
Circadian rhythm and melatonin (12 papers)Light effects on plants (7 papers)Genetics, Aging, and Longevity in Model Organisms (4 papers)

In The Last Decade

María S. Robles

22 papers receiving 1.8k citations

Peers

María S. Robles
Comparison fields: 5 of 118
  • Endocrine and Autonomic Systems 1.1k
  • Molecular Biology 572
  • Physiology 550
  • Plant Science 410
  • Cellular and Molecular Neuroscience 302
Replace Krista Kaasik with:
Krista Kaasik United States
Mónica Gallego Spain
Susan M. Moran United States
Martin Reick United States
Julie E. Baggs United States
Utham K. Valekunja United Kingdom
Katja Vanselow Germany
Nobuya Koike Japan
Teruya Tamaru Japan
Ruifeng Cao United States
María S. Robles relative to Krista Kaasik United States Krista Kaasik's profile →
Citations per field
00.5×1.5×2.2×
Krista Kaasik · 1×
Citations per year

Countries citing papers authored by María S. Robles

Since Specialization
Citations

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

Fields of papers citing papers by María S. Robles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María S. Robles. 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 María S. Robles. The network helps show where María S. Robles may publish in the future.

Co-authorship network of co-authors of María S. Robles

This figure shows the co-authorship network connecting the top 25 collaborators of María S. Robles. A scholar is included among the top collaborators of María S. Robles 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 María S. Robles. María S. Robles 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 0
2 10
3 2
4 3
5 76
6 6
7 170
8 162
9 5
10 22
11 260
12 46
13 290
14 15
15 131
16 33
17 2
18 9
19 56
20 6

About María S. Robles

María S. Robles is a scholar working on Aging, Endocrine and Autonomic Systems and Urban Studies, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (12 papers), Light effects on plants (7 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Aging (299 citations), Endocrine and Autonomic Systems (1.1k citations) and Physiology (550 citations). María S. Robles has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Matthias Mann, Charles J. Weitz, Jürgen Cox, Sean J. Humphrey, Darko Knutti, Hao A. Duong, Kiran Padmanabhan, Franziska Brüning, Steven A. Brown and Thomas Westerling. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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