Pablo Pérez‐Piñera

5.9k citations
78 papers · 4.5k indexed · 1 hit paper · h-index 35
Topics
CRISPR and Genetic Engineering (27 papers)RNA Interference and Gene Delivery (13 papers)Proteoglycans and glycosaminoglycans research (13 papers)
Partner nations
United StatesSpainItaly

In The Last Decade

Pablo Pérez‐Piñera

78 papers receiving 4.4k citations

Hit Papers

RNA-guided gene activation by CRISPR-Cas9–based transcrip...201320262017202120132505007501000

Peers

Pablo Pérez‐Piñera
Comparison fields: 5 of 136
  • Molecular Biology 3.5k
  • Genetics 694
  • Cell Biology 425
  • Cellular and Molecular Neuroscience 398
  • Oncology 329
Replace Ajamete Kaykas with:
Ajamete Kaykas United States
René Maehr United States
Concepción Rodrı́guez Esteban United States
Niels Geijsen Netherlands
Chengyu Liu United States
Zhonggang Hou United States
Akitsu Hotta Japan
Meelad M. Dawlaty United States
Randall J. Platt Switzerland
George E. Katibah United States
Pablo Pérez‐Piñera relative to Ajamete Kaykas United States Ajamete Kaykas's profile →
Citations per field
00.5×1.5×1.9×
Ajamete Kaykas · 1×
Citations per year

Countries citing papers authored by Pablo Pérez‐Piñera

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Pérez‐Piñera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Pérez‐Piñera. 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 Pablo Pérez‐Piñera. The network helps show where Pablo Pérez‐Piñera may publish in the future.

Co-authorship network of co-authors of Pablo Pérez‐Piñera

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Pérez‐Piñera. A scholar is included among the top collaborators of Pablo Pérez‐Piñera 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 Pablo Pérez‐Piñera. Pablo Pérez‐Piñera 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 3
2 2
3 5
4 16
5 35
6 26
7 102
8 105
9 195
10 139
11 23
12 36
13 14
14 32
15 14
16 3
17 48
18 11
19 44
20 116

About Pablo Pérez‐Piñera

Pablo Pérez‐Piñera is a scholar working on Cell Biology, Immunology and Allergy and Cellular and Molecular Neuroscience, having authored 78 papers that have together received 4.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (27 papers), RNA Interference and Gene Delivery (13 papers) and Proteoglycans and glycosaminoglycans research (13 papers). The work is most often cited by research in Aging (179 citations), Business and International Management (159 citations) and Molecular Biology (3.5k citations). Pablo Pérez‐Piñera has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Charles A. Gersbach, David G. Ousterout, Thomas F. Deuel, José A. Vega, Farshid Guilak, Gregory E. Crawford, Timothy K. Lu, Ami M. Kabadi, Pratiksha I. Thakore and Timothy E. Reddy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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