Anna Rocca

1.0k citations
29 papers · 709 indexed · h-index 15

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
  • Hematology top 10%
    • Multiple Myeloma Research and Treatments

Papers in

Anna Rocca

27 papers receiving 689 citations

Peers

Anna Rocca
Comparison fields: 5 of 69
  • Nephrology 135
  • Hematology 116
  • Genetics 94
  • Molecular Biology 491
  • Cell Biology 97
Replace Mark G. Olavesen with:
Mark G. Olavesen United Kingdom
Tünde Hidvégi Hungary
Fearon Dt France
Pascale Tacnet‐Delorme France
Andrea Kocsis Hungary
V. Garlatti France
Sabine Hahn Germany
P. Bailly France
Dominique Vanhecke Belgium
Stephen A. Newland United Kingdom
Anna Rocca relative to Mark G. Olavesen United Kingdom Mark G. Olavesen's profile →
Citations per field
00.5×2.7×
Mark G. Olavesen · 1×
Citations per year

Countries citing papers authored by Anna Rocca

Since Specialization
Citations

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

Fields of papers citing papers by Anna Rocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995101
2 200196
3 199490
4 199544
5 199542
6 199342
7
Rheumatoid factors as a cause for false positive IgM anti-toxoplasma fluorescent tests. A technique for specific results.
197342
8 199934
9 201332
10 202032
11 199627
12 200022
13 199819
14 199416
15 198714
16 19929
17 19947
18 20167
19 19916
20 19935

About Anna Rocca

Anna Rocca is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Parasitology and Modeling and Simulation, having authored 29 papers that have together received 709 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Glycosylation and Glycoproteins Research (8 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers), Bacteriophages and microbial interactions (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Nephrology (135 citations), Hematology (116 citations), Genetics (94 citations), Molecular Biology (491 citations) and Cell Biology (97 citations). Anna Rocca has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Michel Cogné, Pièrre Aucouturier, Guy Touchard, Alice Dautry‐Varsat, Ahmed Amine Khamlichi, Agathe Subtil, Christophe Lamaze, Luc Denoroy, Jean‐Louis Preud'homme and B. Mougenot. Their work appears in journals such as Immunogenetics, Blood, Kidney International, Clinical & Experimental Immunology and European Journal of 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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