Jaime de Juan‐Sanz

5.3k citations
19 papers · 1.1k indexed · h-index 12
Topics
Neuroscience and Neuropharmacology Research (8 papers)Mitochondrial Function and Pathology (6 papers)Ion channel regulation and function (5 papers)
Partner nations
United StatesSpainFrance

In The Last Decade

Jaime de Juan‐Sanz

18 papers receiving 1.1k citations

Peers

Jaime de Juan‐Sanz
Comparison fields: 5 of 86
  • Molecular Biology 719
  • Cellular and Molecular Neuroscience 337
  • Immunology 209
  • Cell Biology 191
  • Physiology 186
Replace Yun-Zheng Le with:
Yun-Zheng Le United States
Veronica Granatiero Italy
Ilaria Palmisano United Kingdom
Dörte Hesse Germany
Nadine Henke Germany
Marcel V. Alavi Germany
Dan Gincel Israel
Rachal Love United States
Tünde Golenár United States
Juliana Heidler Germany
Jaime de Juan‐Sanz relative to Yun-Zheng Le United States Yun-Zheng Le's profile →
Citations per field
00.5×1.5×2.1×
Yun-Zheng Le · 1×
Citations per year

Countries citing papers authored by Jaime de Juan‐Sanz

Since Specialization
Citations

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

Fields of papers citing papers by Jaime de Juan‐Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaime de Juan‐Sanz. 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 Jaime de Juan‐Sanz. The network helps show where Jaime de Juan‐Sanz may publish in the future.

Co-authorship network of co-authors of Jaime de Juan‐Sanz

This figure shows the co-authorship network connecting the top 25 collaborators of Jaime de Juan‐Sanz. A scholar is included among the top collaborators of Jaime de Juan‐Sanz 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 Jaime de Juan‐Sanz. Jaime de Juan‐Sanz 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 2
3 5
4 2
5 6
6 4
7 16
8 9
9 148
10 14
11 43
12 196
13 266
14 242
15 29
16 25
17 22
18 33
19 34

About Jaime de Juan‐Sanz

Jaime de Juan‐Sanz is a scholar working on Aging, Physiology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Mitochondrial Function and Pathology (6 papers) and Ion channel regulation and function (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (337 citations), Clinical Biochemistry (89 citations) and Cell Biology (191 citations). Jaime de Juan‐Sanz has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Timothy A. Ryan, Wei-Ke Ji, Henry N. Higgs, Rajarshi Chakrabarti, Radu V. Stan, Ryan Farrell, Ghazaleh Ashrafi, Fernando de Juan, Douglas S. Kim and Eric R. Schreiter. Their work appears in journals such as Cell, Journal of Biological Chemistry 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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