Anna Rocca

1.0k citations
31 papers · 785 · h-index 15

Impact in

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

Papers in

Anna Rocca

30 papers receiving 743 citations

Peers

Anna Rocca
Comparison fields: 5 of 66
  • Nephrology 121
  • Hematology 135
  • Genetics 94
  • Molecular Biology 500
  • Immunology 131
Replace Mark G. Olavesen with:
Mark G. Olavesen United Kingdom
Tünde Hidvégi Hungary
Xiaoyan Qiu China
Carsten Wiethe Germany
Troels R. Kjær Denmark
J. Arnoud Marquart Netherlands
Pascale Tacnet‐Delorme France
Andrea Kocsis Hungary
Suzanne Skoda‐Smith United States
P. Bailly France
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Citations per field
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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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995109
2 1994107
3 2001103
4 199550
5 199548
6 199346
7
Rheumatoid factors as a cause for false positive IgM anti-toxoplasma fluorescent tests. A technique for specific results.
197343
8 199940
9 201336
10 202033
11 199627
12 200023
13 198720
14 199820
15 199417
16 19929
17 19918
18 19947
19 20167
20 19935

About Anna Rocca

Anna Rocca is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Cell Biology and Genetics, having authored 31 papers that have together received 785 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 (4 papers), Immunotherapy and Immune Responses (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Nephrology (121 citations), Hematology (135 citations), Genetics (94 citations), Molecular Biology (500 citations) and Immunology (131 citations). Anna Rocca has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Michel Cogné, Pièrre Aucouturier, Guy Touchard, Alice Dautry‐Varsat, Ahmed Amine Khamlichi, Agathe Subtil, Luc Denoroy, Christophe Lamaze, Jean‐Louis Preud'homme and B. Mougenot. Their work appears in journals such as Immunogenetics, European Journal of Immunology, Blood, Kidney International and Clinical & Experimental 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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