J. Soares

738 total citations · 1 hit paper
8 papers, 431 citations indexed

About

J. Soares is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Artificial Intelligence. According to data from OpenAlex, J. Soares has authored 8 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Genetics and 2 papers in Artificial Intelligence. Recurrent topics in J. Soares's work include Thyroid Cancer Diagnosis and Treatment (4 papers), BRCA gene mutations in cancer (3 papers) and Statistical Methods and Bayesian Inference (1 paper). J. Soares is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (4 papers), BRCA gene mutations in cancer (3 papers) and Statistical Methods and Bayesian Inference (1 paper). J. Soares collaborates with scholars based in Portugal and Germany. J. Soares's co-authors include Pedro Henriques Abreu, Miriam Seoane Santos, João Santos, Hélder Araújo, Edward Limbert, Manuel Sobrinho‐Simões, Ana Clode, Lúcia Roque, Sérgio Castedo and Isabel Fonseca and has published in prestigious journals such as IEEE Access, Contact Dermatitis and Cancer Genetics and Cytogenetics.

In The Last Decade

J. Soares

8 papers receiving 421 citations

Hit Papers

Cross-Validation for Imbalanced Datasets: Avoiding Overop... 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]
    2018 277 citations Miriam Seoane Santos, J. Soares et al. IEEE Computational Intelligence Magazine profile →

Peers

J. Soares
Mario Merone Italy
Jianfu Xia China
Yongquan Yang China
N. A. Khovanova United Kingdom
Rahul Sharma United States
Jingyang Gao China
Torgyn Shaikhina United Kingdom
Intaek Kim South Korea
G. Ramkumar India
Jaehyuk Cho South Korea
Mario Merone Italy
J. Soares
Citations per year, relative to J. Soares J. Soares (= 1×) peers Mario Merone

Countries citing papers authored by J. Soares

Since Specialization
Citations

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

Fields of papers citing papers by J. Soares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Soares

This figure shows the co-authorship network connecting the top 25 collaborators of J. Soares. A scholar is included among the top collaborators of J. Soares 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 J. Soares. J. Soares is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Soares, J., et al.. (2023). Localized hypertrichosis as a manifestation of contact allergy to aluminium. Contact Dermatitis. 89(1). 58–59. 2 indexed citations
2.
Santos, Miriam Seoane, et al.. (2019). Generating Synthetic Missing Data: A Review by Missing Mechanism. IEEE Access. 7. 11651–11667. 59 indexed citations
3.
Santos, Miriam Seoane, J. Soares, Pedro Henriques Abreu, Hélder Araújo, & João Santos. (2018). Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]. IEEE Computational Intelligence Magazine. 13(4). 59–76. 277 indexed citations breakdown →
4.
Roque, Lúcia, et al.. (1999). Significance of trisomy 7 and 12 in thyroid lesions with follicular differentiation: a cytogenetic and in situ hybridization study.. PubMed. 79(4). 369–78. 24 indexed citations
5.
Belge, Gazanfer, Lúcia Roque, Brita Thode, et al.. (1997). [Cytogenetic changes in benign thyroid gland hyperplasias and adenomas correlated with histology].. PubMed. 81. 151–6. 2 indexed citations
6.
Soares, Paula, Lúcia Roque, David Wynford‐Thomas, J. Soares, & Manuel Sobrinho‐Simões. (1992). Rearrangements of RET proto-oncogene in papillary thyroid carcinomas. Cancer Genetics and Cytogenetics. 63(2). 137–137. 1 indexed citations
7.
Soares, J., Edward Limbert, & Manuel Sobrinho‐Simões. (1989). Diffuse Sclerosing Variant of Papillary Thyroid Carcinoma A Clinicopathologic Study of 10 Cases. Pathology - Research and Practice. 185(2). 200–206. 63 indexed citations
8.
Fonseca, Isabel, J. Soares, & Edward Limbert. (1987). Medullary carcinoma of the thyroid a clinicopathologic and immunohistochemical study of 49 cases. Pathology - Research and Practice. 182(4). 489. 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.

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