Gil Alterovitz

3.6k total citations
107 papers, 1.6k citations indexed

About

Gil Alterovitz is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Gil Alterovitz has authored 107 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 18 papers in Artificial Intelligence and 13 papers in Genetics. Recurrent topics in Gil Alterovitz's work include Bioinformatics and Genomic Networks (19 papers), Gene expression and cancer classification (18 papers) and Machine Learning in Bioinformatics (8 papers). Gil Alterovitz is often cited by papers focused on Bioinformatics and Genomic Networks (19 papers), Gene expression and cancer classification (18 papers) and Machine Learning in Bioinformatics (8 papers). Gil Alterovitz collaborates with scholars based in United States, China and Cyprus. Gil Alterovitz's co-authors include Ning An, Aiguo Wang, Marco Ramoni, Guilin Chen, Jeremy L. Warner, Lian Li, Lian Li, David Kreda, Michael Xiang and Jing Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Gil Alterovitz

101 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
Gil Alterovitz United States 23 720 367 176 144 125 107 1.6k
Gaurav Pandey United States 25 841 1.2× 323 0.9× 99 0.6× 139 1.0× 49 0.4× 110 2.4k
Marco Masseroli Italy 23 1.0k 1.4× 310 0.8× 125 0.7× 69 0.5× 55 0.4× 135 2.0k
Qingyu Chen China 27 835 1.2× 895 2.4× 76 0.4× 151 1.0× 105 0.8× 134 3.0k
Alexis B. Carter United States 20 402 0.6× 627 1.7× 226 1.3× 194 1.3× 84 0.7× 50 1.9k
José Luís Oliveira Portugal 29 1.2k 1.6× 966 2.6× 199 1.1× 240 1.7× 144 1.2× 263 3.2k
Lucia Sacchi Italy 26 587 0.8× 593 1.6× 138 0.8× 216 1.5× 455 3.6× 129 2.5k
Zhe He United States 24 663 0.9× 795 2.2× 75 0.4× 76 0.5× 161 1.3× 203 2.3k
Pietro Hiram Guzzi Italy 29 1.7k 2.4× 400 1.1× 165 0.9× 96 0.7× 62 0.5× 221 3.2k
Jihoon Kim United States 20 671 0.9× 315 0.9× 102 0.6× 129 0.9× 74 0.6× 50 1.9k
Roxana Daneshjou United States 24 587 0.8× 700 1.9× 131 0.7× 56 0.4× 113 0.9× 77 2.6k

Countries citing papers authored by Gil Alterovitz

Since Specialization
Citations

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

Fields of papers citing papers by Gil Alterovitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gil Alterovitz

This figure shows the co-authorship network connecting the top 25 collaborators of Gil Alterovitz. A scholar is included among the top collaborators of Gil Alterovitz 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 Gil Alterovitz. Gil Alterovitz 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.
Makridis, Christos, et al.. (2024). From theory to practice: Harmonizing taxonomies of trustworthy AI. SHILAP Revista de lepidopterología. 7. 100128–100128. 2 indexed citations
2.
Clark, Matthew M., Chris Meyer, Jaime Ramos‐Cejudo, et al.. (2024). Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots. Studies in health technology and informatics. 310. 735–739. 1 indexed citations
3.
Makridis, Christos, Gil Alterovitz, & Michael Darden. (2024). Access and Equity Among Veterans During the COVID-19 Pandemic: A Research Note. Armed Forces & Society. 51(4). 1453–1472. 1 indexed citations
4.
Wu, Julie, Erica S. Shenoy, Evan Carey, et al.. (2023). ChatGPT: Increasing accessibility for natural language processing in healthcare quality measurement. Infection Control and Hospital Epidemiology. 45(1). 9–10. 5 indexed citations
5.
Makridis, Christos, J Kelly, & Gil Alterovitz. (2022). The effects of department of Veterans Affairs medical centers on socio-economic outcomes: Evidence from the Paycheck Protection Program. PLoS ONE. 17(12). e0269588–e0269588. 1 indexed citations
6.
Makridis, Christos, et al.. (2021). Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans. JMIR Medical Informatics. 9(6). e28921–e28921. 7 indexed citations
7.
Fitz, Catherine Del Vecchio, Suresh K. Bhavnani, Chinmay Jani, et al.. (2021). SMART COVID Navigator, a Clinical Decision Support Tool for COVID-19 Treatment: Design and Development Study. Journal of Medical Internet Research. 24(2). e29279–e29279. 7 indexed citations
8.
Dai, Huanqin, Anvita Gupta, David Kreda, et al.. (2021). Computational prediction and validation of specific EmbR binding site on PknH. Synthetic and Systems Biotechnology. 6(4). 429–436. 3 indexed citations
9.
Xie, Feng, Yu Zhao, Pei Huang, et al.. (2020). Generation of Fluorinated Amychelin Siderophores against Pseudomonas aeruginosa Infections by a Combination of Genome Mining and Mutasynthesis. Cell chemical biology. 27(12). 1532–1543.e6. 11 indexed citations
10.
Zhou, Xiuze, et al.. (2019). Sparse online collaborative filtering with dynamic regularization. Information Sciences. 505. 535–548. 16 indexed citations
11.
Liao, Min, Ting Tong, Xuedong Zhou, et al.. (2019). Application of Omics and Bioinformatics Tools in Streptococcus Research. Current Issues in Molecular Biology. 32. 327–376. 3 indexed citations
12.
Halamka, John, et al.. (2018). Cut to the Chase: No Nonsense Guidelines for Blockchain Startups. SHILAP Revista de lepidopterología. 1 indexed citations
13.
Zollanvari, Amin & Gil Alterovitz. (2017). SNP by SNP by environment interaction network of alcoholism. BMC Systems Biology. 11(S3). 19–19. 6 indexed citations
14.
Yang, Jing, Ning An, & Gil Alterovitz. (2016). A Partial Correlation Statistic Structure Learning Algorithm Under Linear Structural Equation Models. IEEE Transactions on Knowledge and Data Engineering. 28(10). 2552–2565. 8 indexed citations
15.
Warner, Jeremy L., Peijin Zhang, Jenny Liu, & Gil Alterovitz. (2015). Classification of hospital acquired complications using temporal clinical information from a large electronic health record. Journal of Biomedical Informatics. 59. 209–217. 31 indexed citations
16.
Warner, Jeremy L., Joshua C. Denny, David Kreda, & Gil Alterovitz. (2013). Analytic Approaches to Phenotypic Complexity.. 1267. 1 indexed citations
17.
18.
Alterovitz, Gil & Marco Ramoni. (2007). Systems Bioinformatics: An Engineering Case-Based Approach. 18 indexed citations
19.
Alterovitz, Gil, Michael Xiang, Isaac S. Kohane, & Marco Ramoni. (2005). Protein network topology metric conservation: from yeast to human. 16(3). 2 indexed citations
20.
Aivado, Manuel, Dimitrios Spentzos, Gil Alterovitz, et al.. (2005). Optimization and evaluation of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) with reversed-phase protein arrays for protein profiling. Clinical Chemistry and Laboratory Medicine (CCLM). 43(2). 133–40. 40 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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