Margarida Lima

3.1k citations
108 papers · 1.9k · h-index 27

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Cutaneous lymphoproliferative disorders research

Papers in

Margarida Lima

100 papers receiving 1.9k citations

Peers

Margarida Lima
Comparison fields: 5 of 113
  • Immunology 760
  • Dermatology 270
  • Genetics 316
  • Pathology and Forensic Medicine 514
  • Hematology 269
Replace J H Korn with:
J H Korn United States
Günther Eißner Germany
Carol M. Artlett United States
M. Viguier France
Hayato Takahashi Japan
Fukumi Furukawa Japan
Belinda Pinto Simões Brazil
J.‐H. Saurat Switzerland
Gerald Messer Germany
Giorgio Palestro Italy
Margarida Lima relative to J H Korn United States J H Korn's profile →
Citations per field
00.5×8.4×
J H Korn · 1×
Citations per year

Countries citing papers authored by Margarida Lima

Since Specialization
Citations

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

Fields of papers citing papers by Margarida Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200190
2 201888
3 201678
4 201578
5 200873
6 200372
7 200664
8 201563
9 201359
10 200157
11 201351
12 200746
13 200443
14 202042
15 201541
16 201541
17 201539
18 200038
19 200235
20
Utility of flow cytometry immunophenotyping and DNA ploidy studies for diagnosis and characterization of blood involvement in CD4+ Sézary's syndrome.
200334

About Margarida Lima

Margarida Lima is a scholar working on Immunology, Pathology and Forensic Medicine, Oncology, Dermatology and Hematology, having authored 108 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (29 papers), Immune Cell Function and Interaction (23 papers), Cutaneous lymphoproliferative disorders research (16 papers), Chronic Lymphocytic Leukemia Research (14 papers), T-cell and B-cell Immunology (10 papers), Viral-associated cancers and disorders (9 papers), CAR-T cell therapy research (9 papers) and Mast cells and histamine (8 papers). The work is most often cited by research in Immunology (760 citations), Dermatology (270 citations), Genetics (316 citations), Pathology and Forensic Medicine (514 citations) and Hematology (269 citations). Margarida Lima has collaborated with scholars based in Portugal, Spain and Netherlands. Frequent co-authors include Maria dos Anjos Teixeira, Alberto Órfão, B. Justiça, Ana Helena Santos, Júlia Almeida, Sónia Fonseca, Maria Luı́s Queirós, Ana Balanzategui, Marcos González and Alice Santos‐Silva. Their work appears in journals such as PLoS ONE, Blood Cells Molecules and Diseases, American Journal Of Pathology, Cancers and Acta Haematologica.

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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