Maria Atta

483 citations
22 papers · 249 · h-index 10

Impact in

  • Rheumatology top 10%
    • Systemic Lupus Erythematosus Research
    • Urticaria and Related Conditions
    • T-cell and B-cell Immunology
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Multiple Myeloma Research and Treatments 4

Maria Atta

20 papers receiving 242 citations

Peers

Maria Atta
Comparison fields: 5 of 43
  • Rheumatology 97
  • Immunology 81
  • Hepatology 24
  • Hematology 31
  • Internal Medicine 9
Replace Takahisa� Nakanishi with:
Takahisa� Nakanishi Japan
Barbara C. Böckle Austria
Yiduo Sun China
Elisa Marocchi Italy
Alexandra Song United States
Alexandre Aubourg France
Catherine Ruiz France
P.M. van den Berg-Loonen Netherlands
H J Plüss Switzerland
Kathryn H. Dao United States
Maria Atta relative to Takahisa� Nakanishi Japan Takahisa� Nakanishi's profile →
Citations per field
00.5×3.3×
Takahisa� Nakanishi · 1×
Citations per year

Countries citing papers authored by Maria Atta

Since Specialization
Citations

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

Fields of papers citing papers by Maria Atta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201044
2 199839
3 200729
4 202126
5 201815
6 201315
7 201212
8 201511
9 201410
10 201410
11 20158
12 20206
13 20245
14 20234
15 20164
16 20153
17 20083
18 20232
19 20062
20 20211

About Maria Atta

Maria Atta is a scholar working on Immunology, Hematology, Oncology, Rheumatology and Hepatology, having authored 22 papers that have together received 249 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Systemic Lupus Erythematosus Research (5 papers), Multiple Myeloma Research and Treatments (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), T-cell and B-cell Immunology (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Immune Cell Function and Interaction (3 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Rheumatology (97 citations), Immunology (81 citations), Hepatology (24 citations), Hematology (31 citations) and Internal Medicine (9 citations). Maria Atta has collaborated with scholars based in Brazil, United Kingdom and Greece. Frequent co-authors include Ajax Mercês Atta, Edgar M. Carvalho, Mittermayer Barreto Santiago, Roque Pacheco de Almeida, Selma M. B. Jerônimo, Rodrigo Cardoso de Oliveira, Mittermayer B. Santiago, Raymundo Paraná, Ricardo David Couto and Roque Aras. Their work appears in journals such as Blood, International Immunopharmacology, Inflammation Research, Microbial Pathogenesis and British Journal of Haematology.

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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