Juan Gerez

2.9k total citations
35 papers, 1.3k citations indexed

About

Juan Gerez is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Juan Gerez has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Neurology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Juan Gerez's work include Parkinson's Disease Mechanisms and Treatments (10 papers), Ubiquitin and proteasome pathways (7 papers) and Alzheimer's disease research and treatments (6 papers). Juan Gerez is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (10 papers), Ubiquitin and proteasome pathways (7 papers) and Alzheimer's disease research and treatments (6 papers). Juan Gerez collaborates with scholars based in Switzerland, Argentina and Germany. Juan Gerez's co-authors include Eduardo Arzt, Marcelo Páez-Pereda, Paola Picotti, Günter K. Stalla, Michael Zumstein, Ari Helenius, Magdalena A. Krzyzaniak, Roland Riek, Susana Silberstein and Carolina Perez-Castro and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Juan Gerez

32 papers receiving 1.3k citations

Peers

Juan Gerez
Comparison fields: 5 of 99
  • Molecular Biology 616
  • Epidemiology 241
  • Neurology 215
  • Physiology 182
  • Cancer Research 182
Replace Xianrong Mao with:
Xianrong Mao United States
Yongqin Wu China
Lisheng Peng China
Étienne Jacotot France
Tamae Ohye Japan
Paul N. McMillan United States
Bjarne Krebs Germany
Andrew G. Purkiss United Kingdom
Han Chen United States
Satoru Takahashi Japan
Xianrong Mao United States View profile →
Citations per field, relative to Juan Gerez
Juan Gerez · 1×
Citations per year, relative to Juan Gerez
Juan Gerez · 1×

Countries citing papers authored by Juan Gerez

Since Specialization
Citations

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

Fields of papers citing papers by Juan Gerez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Gerez

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Gerez. A scholar is included among the top collaborators of Juan Gerez 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 Juan Gerez. Juan Gerez 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
# Work Indexed citations
1 0
2 0
3 7
4 5
5 13
6 9
7 16
8 6
9 15
10 3
11 41
12 22
13 18
14 217
15 10
16 19
17 42
18 12
19 11
20 246

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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