Marlene Cervantes

2.1k total citations
27 papers, 1.3k citations indexed

About

Marlene Cervantes is a scholar working on Endocrine and Autonomic Systems, Social Psychology and Physiology. According to data from OpenAlex, Marlene Cervantes has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrine and Autonomic Systems, 8 papers in Social Psychology and 7 papers in Physiology. Recurrent topics in Marlene Cervantes's work include Circadian rhythm and melatonin (14 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Neuroendocrine regulation and behavior (7 papers). Marlene Cervantes is often cited by papers focused on Circadian rhythm and melatonin (14 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers) and Neuroendocrine regulation and behavior (7 papers). Marlene Cervantes collaborates with scholars based in United States, Germany and France. Marlene Cervantes's co-authors include Paolo Sassone‐Corsi, Selma Masri, Pierre Baldi, J. David Jentsch, Yvon Delville, James R. Ashenhurst, Stephanie M. Groman, Alexander Scott James, Zachary T. Pennington and Kenichiro Kinouchi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Marlene Cervantes

27 papers receiving 1.3k citations

Peers

Marlene Cervantes
Comparison fields: 5 of 113
  • Endocrine and Autonomic Systems 550
  • Physiology 451
  • Molecular Biology 308
  • Cellular and Molecular Neuroscience 247
  • Aging 162
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Karine Proulx United States
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Ngalla Jillani Kenya
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Luoying Zhang China View profile →
Citations per field, relative to Marlene Cervantes
Marlene Cervantes · 1×
Citations per year, relative to Marlene Cervantes
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Countries citing papers authored by Marlene Cervantes

Since Specialization
Citations

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

Fields of papers citing papers by Marlene Cervantes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marlene Cervantes

This figure shows the co-authorship network connecting the top 25 collaborators of Marlene Cervantes. A scholar is included among the top collaborators of Marlene Cervantes 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 Marlene Cervantes. Marlene Cervantes 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
# Work Indexed citations
1 26
2 7
3 32
4 51
5 19
6 18
7 12
8 183
9 227
10 217
11 43
12 93
13 88
14 2
15 9
16 21
17 32
18 17
19 19
20
[Changes in the cell cycle in breast cancer].
1

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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