Rosa Catera

793 citations
21 papers · 555 · h-index 11

Impact in

Papers in

Rosa Catera

19 papers receiving 549 citations

Peers

Rosa Catera
Comparison fields: 5 of 44
  • Genetics 456
  • Pathology and Forensic Medicine 291
  • Immunology 301
  • Radiology, Nuclear Medicine and Imaging 135
  • Hematology 33
Replace Vânia Coelho with:
Vânia Coelho United Kingdom
Gavin Babbage United Kingdom
Michaela Patz Germany
Fiona Bennett United Kingdom
Kerstin Willander Sweden
Elisa Sozzi Italy
Alice Mohr United States
Margot Jak Netherlands
Sharron Glide United Kingdom
D G Oscier United Kingdom
Rosa Catera relative to Vânia Coelho United Kingdom Vânia Coelho's profile →
Citations per field
00.5×3.2×
Vânia Coelho · 1×
Citations per year

Countries citing papers authored by Rosa Catera

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Catera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008152
2 2010136
3 2008120
4 200929
5 201720
6 200617
7 201313
8 201512
9 200811
10 201611
11 201110
12 20069
13 20156
14 20102
15 20062
16 20072
17 20081
18 20171
19 20081
20 20250

About Rosa Catera

Rosa Catera is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology and Pathology and Forensic Medicine, having authored 21 papers that have together received 555 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (21 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Immunodeficiency and Autoimmune Disorders (11 papers), Glycosylation and Glycoproteins Research (6 papers), Lymphoma Diagnosis and Treatment (4 papers), Phagocytosis and Immune Regulation (3 papers), Diabetes and associated disorders (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Genetics (456 citations), Pathology and Forensic Medicine (291 citations), Immunology (301 citations), Radiology, Nuclear Medicine and Imaging (135 citations) and Hematology (33 citations). Rosa Catera has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Nicholas Chiorazzi, Charles C. Chu, Steven L. Allen, Jonathan E. Kolitz, Katerina Hatzi, Sébastien Didier, Lu Zhang, Xiao‐Jie Yan, Matthew Kaufman and Rajendra N. Damle. Their work appears in journals such as Blood, Molecular Medicine, Leukemia, Immunologic Research and Clinical Immunology.

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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