André Catic

2.9k citations
40 papers · 2.3k · h-index 23

Impact in

Papers in

    • Ubiquitin and proteasome pathways 14
    • Protein Degradation and Inhibitors 4
    • RNA modifications and cancer 3
    • Glycosylation and Glycoproteins Research 3
    • Immune responses and vaccinations 4

André Catic

39 papers receiving 2.3k citations

Peers

André Catic
Comparison fields: 5 of 108
  • Aging 55
  • Immunology 599
  • Endocrinology 108
  • Hematology 221
  • Biotechnology 168
Replace Lianfa F. Shi with:
Lianfa F. Shi Canada
Petric Kuballa United States
Junan Li United States
Antoine Ménoret United States
Patrick Lécine France
Cécile Arrieumerlou France
Michael J. Czar United States
Ludovic Huot France
Heiichiro Udono Japan
Zeling Cai United States
André Catic relative to Lianfa F. Shi Canada Lianfa F. Shi's profile →
Citations per field
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Lianfa F. Shi · 1×
Citations per year

Countries citing papers authored by André Catic

Since Specialization
Citations

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

Fields of papers citing papers by André Catic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside André Catic, 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 André Catic Line = papers co-authored together André Catic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003233
2 2013223
3 1998221
4 2007190
5 1998166
6 2019152
7 2006149
8 2006129
9 200791
10 202378
11 200670
12 200763
13 200462
14 200552
15 202251
16 202045
17 202445
18 201341
19 201840
20 199935

About André Catic

André Catic is a scholar working on Molecular Biology, Immunology, Hematology, Parasitology and Cell Biology, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (14 papers), Protein Degradation and Inhibitors (4 papers), Immune responses and vaccinations (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), RNA modifications and cancer (3 papers), Glycosylation and Glycoproteins Research (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Aging (55 citations), Immunology (599 citations), Endocrinology (108 citations), Hematology (221 citations) and Biotechnology (168 citations). André Catic has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Hidde L. Ploegh, Stefan H. E. Kaufmann, Shahram Misaghi, Christian D. Schlieker, Kerry Routenberg Love, Eric Spooner, Jürgen Hess, Gregory A. Korbel, Werner Goebel and David G. Russell. Their work appears in journals such as Blood, PLoS ONE, iScience, Cell and Nature Cell Biology.

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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