Pablo Székely

1.3k citations
20 papers · 873 indexed · 1 hit paper · h-index 16
Topics
Lipid Membrane Structure and Behavior (6 papers)Spectroscopy and Quantum Chemical Studies (5 papers)Single-cell and spatial transcriptomics (3 papers)

In The Last Decade

Pablo Székely

20 papers receiving 865 citations

Hit Papers

Brassinosteroid gene regulatory networks at cellular reso...20232026202420252023255075

Peers

Pablo Székely
Comparison fields: 5 of 114
  • Molecular Biology 533
  • Plant Science 119
  • Atomic and Molecular Physics, and Optics 106
  • Biomedical Engineering 84
  • Genetics 64
Replace Pierre Ronceray with:
Pierre Ronceray France
Shashi Thutupalli India
Gregor Neuert United States
Yusuke T. Maeda Japan
Davit A. Potoyan United States
Tyler S. Harmon United States
Uri Moran Israel
Philippe Nghe France
Elisabeth Nüske Germany
Jens Kleinjung United Kingdom
Pablo Székely relative to Pierre Ronceray France Pierre Ronceray's profile →
Citations per field
00.5×
Pierre Ronceray · 1×
Citations per year

Countries citing papers authored by Pablo Székely

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Székely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Székely

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Székely. A scholar is included among the top collaborators of Pablo Székely 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 Székely. Pablo Székely 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 25
2
Brassinosteroid gene regulatory networks at cellular resolution in the Arabidopsis rootbreakdown →
86
3 5
4 48
5 50
6 14
7 15
8 49
9 34
10 52
11 108
12 15
13 44
14 15
15 66
16 25
17 41
18 57
19 60
20 64

About Pablo Székely

Pablo Székely is a scholar working on Aging, Molecular Biology and Physical and Theoretical Chemistry, having authored 20 papers that have together received 873 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (6 papers), Spectroscopy and Quantum Chemical Studies (5 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Aging (21 citations), Molecular Biology (533 citations) and Biophysics (32 citations). Pablo Székely has collaborated with scholars based in Israel, United States and Belgium. Frequent co-authors include Uri Raviv, Avi Mayo, Uri Alon, Avi Ginsburg, Hila Sheftel, Tal Ben‐Nun, Jean Hausser, Yael Korem, Or Szekely and Roi Asor. Their work appears in journals such as Nature, Science and Nature Communications.

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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