Paula Abreu-e-Lima

418 total citations
9 papers, 290 citations indexed

About

Paula Abreu-e-Lima is a scholar working on Surgery, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Paula Abreu-e-Lima has authored 9 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Pathology and Forensic Medicine and 3 papers in Cancer Research. Recurrent topics in Paula Abreu-e-Lima's work include Breast Lesions and Carcinomas (3 papers), Medical Imaging Techniques and Applications (2 papers) and Breast Cancer Treatment Studies (2 papers). Paula Abreu-e-Lima is often cited by papers focused on Breast Lesions and Carcinomas (3 papers), Medical Imaging Techniques and Applications (2 papers) and Breast Cancer Treatment Studies (2 papers). Paula Abreu-e-Lima collaborates with scholars based in United States, Brazil and South Korea. Paula Abreu-e-Lima's co-authors include Vânia Nosé, Victor H. Gerbaudo, Marcelo Mamede, Timothy M. Smith, Prabhakar Swaroop, Francis A. Farraye, Mee Joo, Laura Gardner, Robert D. Odze and Gregory Y. Lauwers and has published in prestigious journals such as American Journal Of Pathology, The American Journal of Surgical Pathology and American Journal of Clinical Oncology.

In The Last Decade

Paula Abreu-e-Lima

8 papers receiving 282 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Paula Abreu-e-Lima United States	5	155	140	88	59	56	9	290
A Little Australia	8	99 0.6×	121 0.9×	191 2.2×	61 1.0×	12 0.2×	12	347
Ines Nikolovski United States	11	100 0.6×	88 0.6×	43 0.5×	74 1.3×	8 0.1×	19	261
H. Al‐Abadi Germany	10	144 0.9×	147 1.1×	62 0.7×	20 0.3×	8 0.1×	24	326
Kie Kian Ang United States	6	163 1.1×	128 0.9×	25 0.3×	40 0.7×	8 0.1×	7	444
Mitsuru Yoshino Japan	9	173 1.1×	51 0.4×	70 0.8×	18 0.3×	7 0.1×	38	388
Luca Tondulli Italy	9	114 0.7×	107 0.8×	33 0.4×	31 0.5×	9 0.2×	14	285
Jean Torrisi United States	7	91 0.6×	67 0.5×	25 0.3×	46 0.8×	8 0.1×	11	307
Carole Macaron United States	10	107 0.7×	107 0.8×	106 1.2×	5 0.1×	45 0.8×	40	334
Paul Rogowski Germany	11	276 1.8×	58 0.4×	26 0.3×	178 3.0×	11 0.2×	36	420

Countries citing papers authored by Paula Abreu-e-Lima

Since Specialization

Citations

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

Fields of papers citing papers by Paula Abreu-e-Lima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paula Abreu-e-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 Paula Abreu-e-Lima. The network helps show where Paula Abreu-e-Lima may publish in the future.

Co-authorship network of co-authors of Paula Abreu-e-Lima

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Abreu-e-Lima. A scholar is included among the top collaborators of Paula Abreu-e-Lima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paula Abreu-e-Lima. Paula Abreu-e-Lima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Abreu-e-Lima, Paula, et al.. (2010). Avaliação dos fatores preditivos de invasão neoplásica do complexo areolomamilar em pacientes com câncer de mama. Jornal Brasileiro de Patologia e Medicina Laboratorial. 46(3). 245–251. 1 indexed citations

Abreu-e-Lima, Paula, et al.. (2009). Core biopsy no diagnóstico das lesões mamárias impalpáveis na categoria mamográfica BI-RADS® 5. Jornal Brasileiro de Patologia e Medicina Laboratorial. 45(3).

Joo, Mee, Paula Abreu-e-Lima, Francis A. Farraye, et al.. (2009). Pathologic Features of Ulcerative Colitis in Patients With Primary Sclerosing Cholangitis. The American Journal of Surgical Pathology. 33(6). 854–862. 106 indexed citations

Quintero‐Rivera, Fabiola, et al.. (2009). HOMOZYGOUS α-THALASSEMIA WITH TRISOMY 7 MOSAICISM IN A LIVE-BORN INFANT. Pediatric Hematology and Oncology. 26(6). 426–431. 1 indexed citations

Abreu-e-Lima, Paula, et al.. (2009). Carcinoma papilífero da tireoide associado à tireoidite de Hashimoto: frequência e aspectos histopatológicos. Jornal Brasileiro de Patologia e Medicina Laboratorial. 45(1). 75–82. 4 indexed citations

Mamede, Marcelo, Paula Abreu-e-Lima, M. Raquel Oliva, et al.. (2007). FDG-PET/CT Tumor Segmentation-Derived Indices of Metabolic Activity to Assess Response to Neoadjuvant Therapy and Progression-Free Survival in Esophageal Cancer. American Journal of Clinical Oncology. 30(4). 377–388. 70 indexed citations

Mamede, Marcelo, Georges El Fakhri, Paula Abreu-e-Lima, et al.. (2007). Pre-operative estimation of esophageal tumor metabolic length in FDG-PET images with surgical pathology confirmation. Annals of Nuclear Medicine. 21(10). 553–562. 50 indexed citations

Nakamura, Eijiro, Paula Abreu-e-Lima, Takahiro Inoue, et al.. (2006). Clusterin Is a Secreted Marker for a Hypoxia-Inducible Factor-Independent Function of the von Hippel-Lindau Tumor Suppressor Protein. American Journal Of Pathology. 168(2). 574–584. 55 indexed citations

Abreu-e-Lima, Paula, et al.. (1999). Sensibilidade e especificidade da core biopsy estereotática no diagnóstico histopatológico das lesões mamárias impalpáveis. Revista da Associação Médica Brasileira. 45(4). 290–4. 3 indexed citations

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.

Explore authors with similar magnitude of impact