Gina D’Angelo

4.5k total citations
45 papers, 3.4k citations indexed

About

Gina D’Angelo is a scholar working on Cognitive Neuroscience, Oncology and Psychiatry and Mental health. According to data from OpenAlex, Gina D’Angelo has authored 45 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 10 papers in Oncology and 9 papers in Psychiatry and Mental health. Recurrent topics in Gina D’Angelo's work include Dementia and Cognitive Impairment Research (9 papers), Functional Brain Connectivity Studies (9 papers) and Alzheimer's disease research and treatments (6 papers). Gina D’Angelo is often cited by papers focused on Dementia and Cognitive Impairment Research (9 papers), Functional Brain Connectivity Studies (9 papers) and Alzheimer's disease research and treatments (6 papers). Gina D’Angelo collaborates with scholars based in United States, Singapore and United Kingdom. Gina D’Angelo's co-authors include John C. Morris, Mark A. Mintun, Yvette I. Sheline, Tammie L.S. Benzinger, Anne M. Fagan, Lisa A. Weissfeld, John A. Kellum, Derek C. Angus, Abraham Z. Snyder and Sachin Yende and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Gina D’Angelo

43 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gina D’Angelo United States 23 1.0k 885 687 584 457 45 3.4k
Mark M. Stecker United States 36 467 0.5× 588 0.7× 499 0.7× 316 0.5× 442 1.0× 183 4.8k
Paolo Eusebi Italy 40 1.8k 1.7× 1.2k 1.3× 354 0.5× 461 0.8× 676 1.5× 138 5.1k
Massimiliano Copetti Italy 54 1.3k 1.3× 1.2k 1.3× 1.3k 1.8× 941 1.6× 2.0k 4.4× 309 9.5k
Alexander Rae‐Grant United States 19 392 0.4× 1.0k 1.2× 308 0.4× 282 0.5× 346 0.8× 56 3.5k
Seonwoo Kim South Korea 42 465 0.5× 836 0.9× 249 0.4× 1.1k 1.9× 636 1.4× 192 6.4k
Clement T. Loy Australia 33 931 0.9× 880 1.0× 323 0.5× 164 0.3× 979 2.1× 82 4.0k
Andrea Pilotto Italy 36 964 0.9× 687 0.8× 349 0.5× 245 0.4× 1.3k 2.7× 164 4.9k
Noriko Tanaka Japan 36 1.1k 1.1× 454 0.5× 239 0.3× 700 1.2× 958 2.1× 207 5.6k
Carlos Augusto Pasqualucci Brazil 31 924 0.9× 701 0.8× 329 0.5× 526 0.9× 724 1.6× 142 3.9k
Natalie Ives United Kingdom 40 423 0.4× 940 1.1× 269 0.4× 711 1.2× 565 1.2× 104 5.6k

Countries citing papers authored by Gina D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Gina D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gina D’Angelo. 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 Gina D’Angelo. The network helps show where Gina D’Angelo may publish in the future.

Co-authorship network of co-authors of Gina D’Angelo

This figure shows the co-authorship network connecting the top 25 collaborators of Gina D’Angelo. A scholar is included among the top collaborators of Gina D’Angelo 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 Gina D’Angelo. Gina D’Angelo 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.
D’Angelo, Gina & Di Ran. (2024). Tutorial on Firth's Logistic Regression Models for Biomarkers in Preclinical Space. Pharmaceutical Statistics. 24(1). e2422–e2422. 1 indexed citations
2.
D’Angelo, Gina, et al.. (2024). U-MET: Utility-Based Dose Optimization Approach for Multiple-Dose Randomized Trial Designs. Statistics in Biopharmaceutical Research. 17(2). 211–221.
3.
Wilson, Matthew E., Matthew Sung, Elaine M. Hurt, et al.. (2023). Pan-Cancer Proteomics Analysis to Identify Tumor-Enriched and Highly Expressed Cell Surface Antigens as Potential Targets for Cancer Therapeutics. Molecular & Cellular Proteomics. 22(9). 100626–100626. 4 indexed citations
4.
D’Angelo, Gina, Raghothama Chaerkady, Wen Yu, et al.. (2017). Statistical Models for the Analysis of Isobaric Tags Multiplexed Quantitative Proteomics. Journal of Proteome Research. 16(9). 3124–3136. 25 indexed citations
5.
Kelly, James E., Soe Mar, Gina D’Angelo, et al.. (2014). Susceptibility-Weighted Imaging Helps to Discriminate Pediatric Multiple Sclerosis From Acute Disseminated Encephalomyelitis. Pediatric Neurology. 52(1). 36–41. 9 indexed citations
6.
Su, Yi, Gina D’Angelo, Andrei G. Vlassenko, et al.. (2013). Quantitative Analysis of PiB-PET with FreeSurfer ROIs. PLoS ONE. 8(11). e73377–e73377. 152 indexed citations
7.
Disabato, Brianne M., Carrie L. Morris, Jennifer A. Hranilovich, et al.. (2013). Comparison of Brain Structural Variables, Neuropsychological Factors, and Treatment Outcome in Early-Onset Versus Late-Onset Late-Life Depression. American Journal of Geriatric Psychiatry. 22(10). 1039–1046. 25 indexed citations
8.
Sheline, Yvette I., Brianne M. Disabato, Jennifer A. Hranilovich, et al.. (2012). Treatment Course With Antidepressant Therapy in Late-Life Depression. American Journal of Psychiatry. 169(11). 1185–1193. 69 indexed citations
9.
Barch, Deanna M., Gina D’Angelo, Carl F. Pieper, et al.. (2012). Cognitive Improvement Following Treatment in Late-Life Depression: Relationship to Vascular Risk and Age of Onset. American Journal of Geriatric Psychiatry. 20(8). 682–690. 49 indexed citations
10.
Tarawneh, Rawan, Gina D’Angelo, Elizabeth Macy, et al.. (2011). Visinin‐like protein‐1: Diagnostic and prognostic biomarker in Alzheimer disease. Annals of Neurology. 70(2). 274–285. 124 indexed citations
11.
D’Angelo, Gina, M. Ilyas Kamboh, & Eleanor Feingold. (2010). A Likelihood-Based Approach for Missing Genotype Data. Human Heredity. 69(3). 171–183. 2 indexed citations
12.
Craig‐Schapiro, Rebecca, Richard J. Perrin, Catherine M. Roe, et al.. (2010). YKL-40: A Novel Prognostic Fluid Biomarker for Preclinical Alzheimer's Disease. Biological Psychiatry. 68(10). 903–912. 358 indexed citations
13.
Mayr, Florian, Sachin Yende, Gina D’Angelo, et al.. (2010). Do hospitals provide lower quality of care to black patients for pneumonia?*. Critical Care Medicine. 38(3). 759–765. 67 indexed citations
14.
Sheline, Yvette I., Carl F. Pieper, Deanna M. Barch, et al.. (2010). Support for the Vascular Depression Hypothesis in Late-Life Depression. Archives of General Psychiatry. 67(3). 277–277. 204 indexed citations
15.
16.
Reade, Michael C., Sachin Yende, Gina D’Angelo, et al.. (2009). Differences in immune response may explain lower survival among older men with pneumonia*. Critical Care Medicine. 37(5). 1655–1662. 65 indexed citations
17.
Yende, Sachin, Gina D’Angelo, John A. Kellum, et al.. (2008). Inflammatory Markers at Hospital Discharge Predict Subsequent Mortality after Pneumonia and Sepsis. American Journal of Respiratory and Critical Care Medicine. 177(11). 1242–1247. 317 indexed citations
18.
Soran, Atilla, Gina D’Angelo, Mirsada Begovič, et al.. (2006). Breast Cancer-Related Lymphedema ? What Are the Significant Predictors and How They Affect the Severity of Lymphedema?. The Breast Journal. 12(6). 536–543. 151 indexed citations
19.
D’Angelo, Gina & Lisa A. Weissfeld. (2006). Covariates missing by design: comparison of the efficient score to other weighted methods. Statistics in Medicine. 26(10). 2137–2153. 2 indexed citations
20.
Makhija, Sharmila, Anita Sit, Robert P. Edwards, et al.. (2003). Identification of genetic alterations related to chemoresistance in epithelial ovarian cancer. Gynecologic Oncology. 90(1). 3–9. 18 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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