Sergio Catz

7.0k citations
69 papers · 3.5k indexed · 1 hit paper · h-index 30

Sergio Catz

65 papers receiving 3.5k citations

Hit Papers

N-GSDMD trafficking to neutrophil organelles facilitates ...3362020202620222024100200300

Peers

Sergio Catz
Comparison fields: 5 of 119
  • Immunology 1.4k
  • Immunology and Allergy 277
  • Cell Biology 560
  • Physiology 152
  • Biochemistry 208
Replace Jennifer L. Johnson with:
Jennifer L. Johnson United States
Julián Gómez-Cambronero United States
Maurizio Sorice Italy
Thomas Grewal Australia
Satoshi Matsuda Japan
Sylvain Bourgoin Canada
Shyra J. Gardai United States
Karen Kozarsky United States
Françoise Morel France
Erzsébet Ligeti Hungary
Sergio Catz relative to Jennifer L. Johnson United States Jennifer L. Johnson's profile →
Citations per field
00.5×
Jennifer L. Johnson · 1×
Citations per year

Countries citing papers authored by Sergio Catz

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Catz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20234
4 202131
5
N-GSDMD trafficking to neutrophil organelles facilitates IL-1β release independently of plasma membrane pores and pyroptosisbreakdown →
2020336
6 202017
7 201924
8 201928
9 2018371
10 201676
11 201574
12 201557
13 20141
14 201343
15 200988
16 200144
17 19963
18 19956
19 199528
20 1994319

About Sergio Catz

Sergio Catz is a scholar working on Immunology and Allergy, Immunology, Cell Biology, Physiology and Biochemistry, having authored 69 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (25 papers), Cellular transport and secretion (16 papers), Cell Adhesion Molecules Research (13 papers), Erythrocyte Function and Pathophysiology (10 papers), Biomedical Research and Pathophysiology (10 papers), Neonatal Health and Biochemistry (9 papers), Immune Response and Inflammation (9 papers) and Amino Acid Enzymes and Metabolism (5 papers). The work is most often cited by research in Immunology (1.4k citations), Immunology and Allergy (277 citations), Cell Biology (560 citations), Physiology (152 citations) and Biochemistry (208 citations). Sergio Catz has collaborated with scholars based in United States, Argentina and Germany. Frequent co-authors include Jennifer L. Johnson, Jennifer L. Johnson, Juan José Poderoso, Mahalakshmi Ramadass, Beverly A. Ellis, Marı́a Cecilia Carreras, Alberto Boveris, Daniela B. Munafó, Jlenia Monfregola and Hal M. Hoffman. Their work appears in journals such as Journal of Leukocyte Biology, Journal of Biological Chemistry, Biochemical Journal, Cell Reports and Proceedings of the National Academy of Sciences.

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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