Miriam Baeta

1.2k total citations
39 papers, 462 citations indexed

About

Miriam Baeta is a scholar working on Genetics, Molecular Biology and Archeology. According to data from OpenAlex, Miriam Baeta has authored 39 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 17 papers in Molecular Biology and 17 papers in Archeology. Recurrent topics in Miriam Baeta's work include Forensic and Genetic Research (30 papers), Forensic Anthropology and Bioarchaeology Studies (16 papers) and Molecular Biology Techniques and Applications (12 papers). Miriam Baeta is often cited by papers focused on Forensic and Genetic Research (30 papers), Forensic Anthropology and Bioarchaeology Studies (16 papers) and Molecular Biology Techniques and Applications (12 papers). Miriam Baeta collaborates with scholars based in Spain, United States and Germany. Miriam Baeta's co-authors include Carolina Núńez, Marian M. de Pancorbo, Begoña Martínez‐Jarreta, Yolanda Casalod, Cecilia Sosa, Leire Palencia-Madrid, Lutz Roewer, M. Geppert, Sergio Cardoso and Marı́a T. Zarrabeitia and has published in prestigious journals such as PLoS ONE, Scientific Reports and Food Chemistry.

In The Last Decade

Miriam Baeta

37 papers receiving 455 citations

Peers

Miriam Baeta
Comparison fields: 5 of 64
  • Genetics 364
  • Molecular Biology 184
  • Archeology 157
  • Paleontology 62
  • Ecology 31
Replace Carolina Núńez with:
Carolina Núńez Spain
Luise Ørsted Brandt Denmark
Gunnar U. Neumann Germany
Christoph Theunert Germany
Erika Hagelberg United Kingdom
Deborah Polanskey United States
Ivett Kővári Hungary
Edwin Huffine United States
Christine Keyser‐Tracqui France
Carolina Núńez Spain View profile →
Citations per field, relative to Miriam Baeta
Miriam Baeta · 1×
Citations per year, relative to Miriam Baeta
Miriam Baeta · 1×

Countries citing papers authored by Miriam Baeta

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Baeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Baeta

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Baeta. A scholar is included among the top collaborators of Miriam Baeta 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 Miriam Baeta. Miriam Baeta 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 0
2 1
3 1
4 7
5 3
6 6
7 14
8 10
9 38
10 7
11 15
12 12
13 18
14 39
15 5
16
Exhumación, identificación y causa de muerte en la fosa común de Aibar-Oibar (Navarra)
5
17 27
18 6
19 20
20 32

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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