Virgilia Macias

2.3k total citations
63 papers, 1.6k citations indexed

About

Virgilia Macias is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Virgilia Macias has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 12 papers in Oncology. Recurrent topics in Virgilia Macias's work include Prostate Cancer Diagnosis and Treatment (9 papers), Prostate Cancer Treatment and Research (8 papers) and Advanced X-ray Imaging Techniques (7 papers). Virgilia Macias is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (9 papers), Prostate Cancer Treatment and Research (8 papers) and Advanced X-ray Imaging Techniques (7 papers). Virgilia Macias collaborates with scholars based in United States, China and India. Virgilia Macias's co-authors include Andre Kajdacsy‐Balla, André Kajdacsy-Balla, Rohit Bhargava, Michael J. Walsh, Michael Nasse, R. Reininger, Eric C. Mattson, Carol J. Hirschmugl, Gabriel Popescu and Shamira Sridharan and has published in prestigious journals such as JAMA, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Virgilia Macias

62 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Virgilia Macias United States 25 549 346 234 212 203 63 1.6k
Liane Bernstein United States 11 228 0.4× 333 1.0× 327 1.4× 65 0.3× 72 0.4× 28 1.6k
Daniel C. Fernandez United States 16 224 0.4× 510 1.5× 185 0.8× 399 1.9× 39 0.2× 48 1.4k
Ehsan Gazi United Kingdom 20 614 1.1× 1.3k 3.6× 112 0.5× 91 0.4× 116 0.6× 29 2.0k
Andrew Riches United Kingdom 28 1.3k 2.4× 563 1.6× 279 1.2× 159 0.8× 287 1.4× 97 3.0k
Hyeon Jeong Lee United States 16 663 1.2× 530 1.5× 78 0.3× 181 0.9× 56 0.3× 42 1.7k
Anthony Squire Germany 23 1.3k 2.4× 596 1.7× 270 1.2× 138 0.7× 43 0.2× 41 2.6k
Lena Kastl Germany 13 403 0.7× 114 0.3× 89 0.4× 46 0.2× 141 0.7× 29 997
Peter J. Schüffler Switzerland 16 1.1k 2.0× 416 1.2× 483 2.1× 141 0.7× 11 0.1× 49 2.2k
Zoltán Bálint Romania 24 463 0.8× 88 0.3× 68 0.3× 412 1.9× 40 0.2× 70 1.4k
Georgia Z. Chen United States 12 1.8k 3.2× 417 1.2× 223 1.0× 131 0.6× 62 0.3× 18 3.3k

Countries citing papers authored by Virgilia Macias

Since Specialization
Citations

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

Fields of papers citing papers by Virgilia Macias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virgilia Macias

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

All Works

20 of 20 papers shown
1.
2.
Reiter, Rolf, Andre Kajdacsy‐Balla, Virgilia Macias, et al.. (2022). Investigating the heterogeneity of viscoelastic properties in prostate cancer using MR elastography at 9.4T in fresh prostatectomy specimens. Magnetic Resonance Imaging. 87. 113–118. 12 indexed citations
3.
Bosland, Maarten C., C C Anunobi, Oluyemi Akinloye, et al.. (2021). Prevalence of prostate cancer at autopsy in Nigeria—A preliminary report. The Prostate. 81(9). 553–559. 8 indexed citations
4.
Bao, Yonghua, Yongchen Guo, Xiaonan Wei, et al.. (2021). Correction to: PRSS8 suppresses colorectal carcinogenesis and metastasis. Oncogene. 40(10). 1922–1924. 2 indexed citations
5.
López‐Campos, Fernando, Virgilia Macias, Antonio J. Conde-Moreno, et al.. (2019). Time for radioimmunotherapy: an overview to bring improvements in clinical practice. Clinical & Translational Oncology. 21(8). 992–1004. 15 indexed citations
6.
Macias, Virgilia, et al.. (2019). Physiologic serum 1,25 dihydroxyvitamin D is inversely associated with prostatic Ki67 staining in a diverse sample of radical prostatectomy patients. Cancer Causes & Control. 30(2). 207–214. 6 indexed citations
7.
Kim, Kyeezu, Angela Kong, Robert C. Flanigan, et al.. (2019). Pre-diagnostic carbohydrate intake and treatment failure after radical prostatectomy for early-stage prostate cancer. Cancer Causes & Control. 30(3). 271–279. 1 indexed citations
8.
Huang, Lei, Odile David, Robert J. Cabay, et al.. (2018). Molecular Classification of Lymph Node Metastases Subtypes Predict for Survival in Head and Neck Cancer. Clinical Cancer Research. 25(6). 1795–1808. 22 indexed citations
9.
Keeter, Mary Kate, Iman K. Martin, Maria Ruden, et al.. (2018). Self-reported Black race predicts significant prostate cancer independent of clinical setting and clinical and socioeconomic risk factors. Urologic Oncology Seminars and Original Investigations. 36(11). 501.e1–501.e8. 29 indexed citations
10.
Kajdacsy‐Balla, Andre, et al.. (2017). PTEN is a protein phosphatase that targets active PTK6 and inhibits PTK6 oncogenic signaling in prostate cancer. Nature Communications. 8(1). 1508–1508. 61 indexed citations
11.
Sethi, Amit, Abhishek Vahadane, Ryan Deaton, et al.. (2016). Empirical comparison of color normalization methods for epithelial-stromal classification in H and E images. Journal of Pathology Informatics. 7(1). 17–17. 38 indexed citations
12.
Benevolenskaya, Elizaveta V., Abul Bashar Mir Md. Khademul Islam, Habibul Ahsan, et al.. (2016). DNA methylation and hormone receptor status in breast cancer. Clinical Epigenetics. 8(1). 17–17. 47 indexed citations
13.
Sridharan, Shamira, Virgilia Macias, Krishnarao Tangella, André Kajdacsy-Balla, & Gabriel Popescu. (2015). Prediction of Prostate Cancer Recurrence Using Quantitative Phase Imaging. Scientific Reports. 5(1). 9976–9976. 66 indexed citations
14.
Macias, Virgilia, Judy Coleman, Mariangela Bonizzoni, & Anthony A. James. (2014). piRNA pathway gene expression in the malaria vector mosquito A nopheles stephensi . Insect Molecular Biology. 23(5). 579–586. 18 indexed citations
15.
Bosland, Maarten C., Ikuko Kato, Anne Zeleniuch‐Jacquotte, et al.. (2013). Effect of Soy Protein Isolate Supplementation on Biochemical Recurrence of Prostate Cancer After Radical Prostatectomy. JAMA. 310(2). 170–170. 56 indexed citations
16.
Nasse, Michael, Michael J. Walsh, Eric C. Mattson, et al.. (2011). High-resolution Fourier-transform infrared chemical imaging with multiple synchrotron beams. Nature Methods. 8(5). 413–416. 283 indexed citations
17.
Sarafanov, Andrey G., Todor I. Todorov, José A. Centeno, et al.. (2011). Prostate cancer outcome and tissue levels of metal ions. The Prostate. 71(11). 1231–1238. 36 indexed citations
18.
Bhattacharyya, Sumit, et al.. (2011). Extra-Lysosomal Localization of Arylsulfatase B in Human Colonic Epithelium. Journal of Histochemistry & Cytochemistry. 59(3). 328–335. 22 indexed citations
19.
Kajdacsy‐Balla, Andre, Virgilia Macias, Suman Setty, et al.. (2007). Practical aspects of planning, building, and interpreting tissue microarrays: The Cooperative Prostate Cancer Tissue Resource experience. Journal of Molecular Histology. 38(2). 113–121. 36 indexed citations
20.

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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