Petra Yescas

1.6k citations
55 papers · 1.0k indexed · h-index 19
Topics
Genetic Neurodegenerative Diseases (18 papers)Mitochondrial Function and Pathology (15 papers)Parkinson's Disease Mechanisms and Treatments (11 papers)
Journals
SHILAP Revista de lepidopterologíaDiabetesAnnals of Neurology
Partner nations
MexicoUnited StatesSpain

In The Last Decade

Petra Yescas

49 papers receiving 995 citations

Peers

Petra Yescas
Comparison fields: 5 of 92
  • Molecular Biology 499
  • Cellular and Molecular Neuroscience 469
  • Neurology 334
  • Physiology 143
  • Neurology 111
Replace Cristina Ghezzi with:
Cristina Ghezzi Italy
Jaume Campdelacreu Spain
Chris Williams New Zealand
Annett Häußler Germany
Amir Dori Israel
Gregor Tomasevic Sweden
Richard P. Hulse United Kingdom
Ching‐Pang Chang Taiwan
Nahuai Badiola Spain
Irina Madorsky United States
Petra Yescas relative to Cristina Ghezzi Italy Cristina Ghezzi's profile →
Citations per field
00.5×2.6×
Cristina Ghezzi · 1×
Citations per year

Countries citing papers authored by Petra Yescas

Since Specialization
Citations

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

Fields of papers citing papers by Petra Yescas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petra Yescas

This figure shows the co-authorship network connecting the top 25 collaborators of Petra Yescas. A scholar is included among the top collaborators of Petra Yescas 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 Petra Yescas. Petra Yescas 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
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Determinación de la frecuencia del haplotipo H1/H2 de MAPT en muestras de población mestiza mexicana
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14 30
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17 46
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About Petra Yescas

Petra Yescas is a scholar working on Cellular and Molecular Neuroscience, Neurology and Sensory Systems, having authored 55 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (18 papers), Mitochondrial Function and Pathology (15 papers) and Parkinson's Disease Mechanisms and Treatments (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (469 citations), Neurology (334 citations) and Neurology (111 citations). Petra Yescas has collaborated with scholars based in Mexico, United States and Spain. Frequent co-authors include Adriana Ochoa, Marisol López, Astrid Rasmussen, Elisa Alonso, Marie‐Catherine Boll, Tetsuo Ashizawa, María Elisa Alonso, Luís Ruano, Samuel Canizales‐Quinteros and Tohru Matsuura. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes and Annals of Neurology.

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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