Áurea Lima

754 citations
24 papers · 596 · h-index 15

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
    • Folate and B Vitamins Research
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

Áurea Lima

23 papers receiving 589 citations

Peers

Áurea Lima
Comparison fields: 5 of 86
  • Rheumatology 280
  • Genetics 97
  • Hematology 83
  • Public Health, Environmental and Occupational Health 123
  • Oncology 82
Replace K. Visser with:
K. Visser Netherlands
Carmen Fava Italy
Thuan V. Tran Vietnam
Liyan Liu China
Kenneth Washenik United States
Ahmad Naim United States
Solange Mongoue‐Tchokote United States
Jan Brzezicki Poland
Mirosław Markiewicz Poland
Stephanie Zrim Australia
Áurea Lima relative to K. Visser Netherlands K. Visser's profile →
Citations per field
00.5×3.3×
K. Visser · 1×
Citations per year

Countries citing papers authored by Áurea Lima

Since Specialization
Citations

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

Fields of papers citing papers by Áurea Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201493
2 201454
3 201450
4 201438
5 201336
6 201334
7 202233
8 201533
9 201432
10 201532
11 201730
12 201627
13 201526
14 201419
15 201815
16 201414
17 201814
18 20166
19 20213
20 20213

About Áurea Lima

Áurea Lima is a scholar working on Rheumatology, Public Health, Environmental and Occupational Health, Oncology, Genetics and Hematology, having authored 24 papers that have together received 596 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (9 papers), Acute Lymphoblastic Leukemia research (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Mobile Health and mHealth Applications (2 papers), Viral-associated cancers and disorders (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). The work is most often cited by research in Rheumatology (280 citations), Genetics (97 citations), Hematology (83 citations), Public Health, Environmental and Occupational Health (123 citations) and Oncology (82 citations). Áurea Lima has collaborated with scholars based in Portugal, United States and Poland. Frequent co-authors include Miguel Bernardes, Rita Azevedo, Rui Medeiros, Hugo Sousa, Vítor Seabra, Joaquim Monteiro, Vasco C. Romão, Helena Canhão, João Eurico Fonseca and João Fonseca. Their work appears in journals such as Pharmacogenomics, Annals of the Rheumatic Diseases, International Journal of Environmental Research and Public Health, Molecular Biology Reports and Frontiers in Pharmacology.

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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