Ana Catalán

715 citations
19 papers · 473 indexed · h-index 11
Topics
Genetic diversity and population structure (5 papers)Neurobiology and Insect Physiology Research (3 papers)Trace Elements in Health (2 papers)

In The Last Decade

Ana Catalán

17 papers receiving 465 citations

Peers

Ana Catalán
Comparison fields: 5 of 67
  • Genetics 215
  • Molecular Biology 170
  • Plant Science 82
  • Molecular Medicine 76
  • Ecology, Evolution, Behavior and Systematics 72
Replace Crista B. Wadsworth with:
Crista B. Wadsworth United States
Joe Gasper United States
Daniël J. P. Engelmoer Netherlands
Matthew A. Jorgenson United States
Ernest Mordret France
Alexandra R. Willis Canada
Laura C. Pollitt United Kingdom
David S. Milner United Kingdom
Ricardo S. Ramiro Portugal
Michael S. Wollenberg United States
Ana Catalán relative to Crista B. Wadsworth United States Crista B. Wadsworth's profile →
Citations per field
00.5×2.9×
Crista B. Wadsworth · 1×
Citations per year

Countries citing papers authored by Ana Catalán

Since Specialization
Citations

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

Fields of papers citing papers by Ana Catalán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Catalán

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 3
5 4
6 1
7 5
8 89
9 21
10 6
11 34
12 32
13 15
14 14
15 69
16 19
17 58
18 34
19 65

About Ana Catalán

Ana Catalán is a scholar working on Ecological Modeling, Genetics and Endocrinology, having authored 19 papers that have together received 473 indexed citations. Recurring topics across this work include Genetic diversity and population structure (5 papers), Neurobiology and Insect Physiology Research (3 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Molecular Medicine (76 citations), Microbiology (63 citations) and Genetics (215 citations). Ana Catalán has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include John Parsch, Stephan Hütter, Miguel Á. Moreno, José Antonio Escudero, Bruno González‐Zorn, Lucas Domı́nguez, Adriana D. Briscoe, Aide Macias-Muñoz, Álvaro San Millán and Pablo Duchen. Their work appears in journals such as Nature Communications, Genetics and Philosophical Transactions of the Royal Society B Biological Sciences.

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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