Germán Leparc

2.5k citations
26 papers · 1.8k · h-index 18

Impact in

Papers in

    • Extracellular vesicles in disease 5
    • RNA Research and Splicing 3
    • RNA and protein synthesis mechanisms 3
    • Ubiquitin and proteasome pathways 2
    • 14-3-3 protein interactions 2
    • Single-cell and spatial transcriptomics 2
    • Neuroinflammation and Neurodegeneration Mechanisms 2

Germán Leparc

26 papers receiving 1.8k citations

Peers

Germán Leparc
Comparison fields: 5 of 108
  • Biological Psychiatry 62
  • Behavioral Neuroscience 77
  • Molecular Biology 1.3k
  • Cell Biology 189
  • Cancer Research 139
Replace Yichin Liu with:
Yichin Liu United States
Constantinos Demonacos United Kingdom
Ty C. Voss United States
Akiko Hayashi Japan
Béatrice Chambraud France
François Natt Switzerland
Marija Krstic–Demonacos United Kingdom
Amantha Thathiah United States
Andrew D. Campbell United States
Germán Leparc relative to Yichin Liu United States Yichin Liu's profile →
Citations per field
00.5×1.7×
Yichin Liu · 1×
Citations per year

Countries citing papers authored by Germán Leparc

Since Specialization
Citations

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

Fields of papers citing papers by Germán Leparc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Germán Leparc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Germán Leparc Line = papers co-authored together Germán Leparc links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001455
2 2000332
3 2011108
4 200899
5 200097
6 201793
7 201490
8 201481
9 201676
10 201971
11 201858
12 202153
13 202050
14 202324
15 202121
16 200821
17 201521
18 202421
19 201016
20 201013

About Germán Leparc

Germán Leparc is a scholar working on Molecular Biology, Neurology, Physiology, Immunology and Social Psychology, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Ubiquitin and proteasome pathways (2 papers), 14-3-3 protein interactions (2 papers), Neuroendocrine regulation and behavior (2 papers), Single-cell and spatial transcriptomics (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (62 citations), Behavioral Neuroscience (77 citations), Molecular Biology (1.3k citations), Cell Biology (189 citations) and Cancer Research (139 citations). Germán Leparc has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Michael B. Yaffe, Lewis C. Cantley, Toshiyuki Obata, Stefano Volinia, Jack H. Lai, Tobias Hildebrandt, Atsunori Kashiwagi, Hiroshi Maegawa, Ryuichi Kikkawa and David P. Kreil. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Neuropharmacology, Journal of Extracellular Vesicles 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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