María Gómez‐Serrano

1.3k citations
39 papers · 935 indexed · h-index 19
Topics
Extracellular vesicles in disease (12 papers)Adipose Tissue and Metabolism (11 papers)MicroRNA in disease regulation (7 papers)

In The Last Decade

María Gómez‐Serrano

37 papers receiving 929 citations

Peers

María Gómez‐Serrano
Comparison fields: 5 of 90
  • Molecular Biology 423
  • Immunology 219
  • Physiology 175
  • Epidemiology 146
  • Cancer Research 136
Replace Archana S. Nagaraja with:
Archana S. Nagaraja United States
Sophie Lebon France
Sevasti Zervou United Kingdom
Anu Punn United Kingdom
Theodore P. Braun United States
Gen Wen United States
Mingju Cao Canada
Yi Tan China
Raúl Gómez Spain
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María Gómez‐Serrano relative to Archana S. Nagaraja United States Archana S. Nagaraja's profile →
Citations per field
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Citations per year

Countries citing papers authored by María Gómez‐Serrano

Since Specialization
Citations

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

Fields of papers citing papers by María Gómez‐Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Gómez‐Serrano. 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 Gómez‐Serrano. The network helps show where María Gómez‐Serrano may publish in the future.

Co-authorship network of co-authors of María Gómez‐Serrano

This figure shows the co-authorship network connecting the top 25 collaborators of María Gómez‐Serrano. A scholar is included among the top collaborators of María Gómez‐Serrano 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 Gómez‐Serrano. María Gómez‐Serrano 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 0
3 8
4 2
5 16
6 8
7 8
8 22
9 33
10 22
11 39
12 44
13 7
14 48
15 5
16 18
17 25
18
A Rat Model of Gambling Behavior and its Extinction: Effects of "Win" Probability on Choice in a Concurrent-Chains Procedure
4
19 11
20 27

About María Gómez‐Serrano

María Gómez‐Serrano is a scholar working on Behavioral Neuroscience, Cancer Research and General Decision Sciences, having authored 39 papers that have together received 935 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (12 papers), Adipose Tissue and Metabolism (11 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Behavioral Neuroscience (55 citations), Immunology (219 citations) and Cancer Research (136 citations). María Gómez‐Serrano has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Belén Peral, Anthony L. Riley, Jesús Vázquez, Inmaculada Jorge, Esther M. Sternberg, Verónica Álvarez, Francisco M. Sánchez‐Margallo, David N. Kearns, Emilio Camafeita and Rebeca Blázquez. Their work appears in journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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