Nicolas Stankovic‐Valentin

928 citations
15 papers · 720 indexed · h-index 13
Topics
Ubiquitin and proteasome pathways (10 papers)Peptidase Inhibition and Analysis (5 papers)Epigenetics and DNA Methylation (4 papers)

In The Last Decade

Nicolas Stankovic‐Valentin

14 papers receiving 714 citations

Peers

Nicolas Stankovic‐Valentin
Comparison fields: 5 of 68
  • Molecular Biology 617
  • Oncology 202
  • Immunology 90
  • Epidemiology 83
  • Cancer Research 83
Replace Xuejia Yang with:
Xuejia Yang China
Hongbo Gu United States
Vladimir Yong‐Gonzalez United States
Olivier Binda Canada
Aram Ko South Korea
Jeovanis Gil Sweden
James X. Du United States
Youra Kim Canada
Stephen A. Shinsky United States
Mitchell Vamos United States
Nicolas Stankovic‐Valentin relative to Xuejia Yang China Xuejia Yang's profile →
Citations per field
00.5×4.2×
Xuejia Yang · 1×
Citations per year

Countries citing papers authored by Nicolas Stankovic‐Valentin

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Stankovic‐Valentin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Stankovic‐Valentin. 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 Nicolas Stankovic‐Valentin. The network helps show where Nicolas Stankovic‐Valentin may publish in the future.

Co-authorship network of co-authors of Nicolas Stankovic‐Valentin

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Stankovic‐Valentin. A scholar is included among the top collaborators of Nicolas Stankovic‐Valentin 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 Nicolas Stankovic‐Valentin. Nicolas Stankovic‐Valentin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 15
2 0
3 30
4 23
5 15
6 52
7 94
8 33
9 142
10 77
11 16
12 125
13 16
14 71
15 11

About Nicolas Stankovic‐Valentin

Nicolas Stankovic‐Valentin is a scholar working on Oncology, Molecular Biology and Cancer Research, having authored 15 papers that have together received 720 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Peptidase Inhibition and Analysis (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Geriatrics and Gerontology (44 citations), Molecular Biology (617 citations) and Oncology (202 citations). Nicolas Stankovic‐Valentin has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Frauke Melchior, Dominique Leprince, Cateline Guérardel, Sébastien Pinte, Sophie Deltour, Anne Dejean, Jacob-S. Seeler, Henning Urlaub, Georgia Chachami and Capucine Van Rechem. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The EMBO Journal.

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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