Elisa Warner

553 total citations
18 papers, 346 citations indexed

About

Elisa Warner is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Elisa Warner has authored 18 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Elisa Warner's work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Elisa Warner is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Elisa Warner collaborates with scholars based in United States, China and Australia. Elisa Warner's co-authors include Jianhui Zhu, Neehar D. Parikh, David M. Lubman, James R. Mitchell, David S. Vogel, Sarah J. Mitchell, Susan E. Howlett, Michael Schultz, Alice E. Kane and Michael S. Bonkowski and has published in prestigious journals such as Nature Communications, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

Elisa Warner

16 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elisa Warner United States	11	118	43	42	41	37	18	346
Guanzhen Wang China	9	120 1.0×	14 0.3×	3 0.1×	23 0.6×	21 0.6×	17	391
Shenglan Tan China	13	196 1.7×	5 0.1×	7 0.2×	22 0.5×	5 0.1×	29	444
Matthew D. Thompson United States	14	222 1.9×	21 0.5×	4 0.1×	22 0.5×	12 0.3×	42	598
Richard Fux Germany	10	196 1.7×	37 0.9×	1 0.0×	52 1.3×	7 0.2×	16	540
Tai Ning Lam Hong Kong	12	101 0.9×	24 0.6×		13 0.3×	7 0.2×	29	476
Deborah Giordano Italy	10	154 1.3×	18 0.4×		10 0.2×	72 1.9×	26	634
Faraz Kazmi United States	10	194 1.6×	26 0.6×	2 0.0×	37 0.9×	7 0.2×	17	591
Johannes G. Krabbe Netherlands	11	116 1.0×	116 2.7×		17 0.4×	8 0.2×	36	412
Yvonne Gloor Switzerland	15	338 2.9×	14 0.3×	4 0.1×	24 0.6×	10 0.3×	22	601

Countries citing papers authored by Elisa Warner

Since Specialization

Citations

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

Fields of papers citing papers by Elisa Warner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisa Warner

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

All Works

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18 of 18 papers shown

Warner, Elisa, et al.. (2025). Comparing IOL refraction prediction accuracy and A-constant optimization for cataract surgery patients across South Indian and Midwestern United States populations. BMC Ophthalmology. 25(1). 349–349.

Şenbabaoğlu, Yasin, Aminollah Khormali, Elisa Warner, et al.. (2024). MOSBY enables multi-omic inference and spatial biomarker discovery from whole slide images. Scientific Reports. 14(1). 18271–18271. 2 indexed citations

Warner, Elisa, Joonsang Lee, William Hsu, et al.. (2024). Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. International Journal of Computer Vision. 132(9). 3753–3769. 14 indexed citations

Warner, Elisa, Joonsang Lee, Nicholas Wang, et al.. (2023). Low-parameter supervised learning models can discriminate pseudoprogression and true progression in non-perfusion-based MRI. PubMed. 2023. 1–4.

Lee, Joonsang, Elisa Warner, Markus Bitzer, et al.. (2023). Clustering-based spatial analysis (CluSA) framework through graph neural network for chronic kidney disease prediction using histopathology images. Scientific Reports. 13(1). 12701–12701. 5 indexed citations

Warner, Elisa, Najla Al Turkestani, Jonas Bianchi, et al.. (2022). Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information. Lecture notes in computer science. 13755. 77–86. 1 indexed citations

Lee, Joonsang, Elisa Warner, Markus Bitzer, et al.. (2022). Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease. Scientific Reports. 12(1). 4832–4832. 28 indexed citations

Gong, Weikang, Aysam Guerler, Chengxin Zhang, et al.. (2021). Integrating Multimeric Threading With High-throughput Experiments for Structural Interactome of Escherichia coli. Journal of Molecular Biology. 433(10). 166944–166944. 9 indexed citations

Mohammed, Shariq, Tingyang Li, Elisa Warner, et al.. (2020). Density-based classification in diabetic retinopathy through thickness of retinal layers from optical coherence tomography. Scientific Reports. 10(1). 15937–15937. 10 indexed citations

10.

Schultz, Michael, Alice E. Kane, Sarah J. Mitchell, et al.. (2020). Publisher Correction: Age and life expectancy clocks based on machine learning analysis of mouse frailty. Nature Communications. 11(1). 5143–5143. 3 indexed citations

11.

Schultz, Michael, Alice E. Kane, Sarah J. Mitchell, et al.. (2020). Age and life expectancy clocks based on machine learning analysis of mouse frailty. Nature Communications. 11(1). 4618–4618. 83 indexed citations

12.

Sabeti, Elyas, et al.. (2020). Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome. IEEE Journal of Biomedical and Health Informatics. 25(3). 784–796. 13 indexed citations

13.

Du, Li‐Jing, Chu Chu, Elisa Warner, et al.. (2018). Rapid microwave-assisted dispersive micro-solid phase extraction of mycotoxins in food using zirconia nanoparticles. Journal of Chromatography A. 1561. 1–12. 51 indexed citations

14.

Wang, Mengmeng, Yuzhen Gao, Huijuan Feng, et al.. (2018). A nomogram incorporating six easily obtained parameters to discriminate intrahepatic cholangiocarcinoma and hepatocellular carcinoma. Cancer Medicine. 7(3). 646–654. 16 indexed citations

15.

Zhu, Jianhui, Elisa Warner, Neehar D. Parikh, & David M. Lubman. (2018). Glycoproteomic markers of hepatocellular carcinoma‐mass spectrometry based approaches. Mass Spectrometry Reviews. 38(3). 265–290. 62 indexed citations

16.

Wang, Mengmeng, Meng Fang, Jianhui Zhu, et al.. (2017). Serum N‐glycans outperform CA19‐9 in diagnosis of extrahepatic cholangiocarcinoma. Electrophoresis. 38(21). 2749–2756. 10 indexed citations

17.

Xu, Jingjing, Qin Li, Jun Cao, et al.. (2016). Extraction and enrichment of natural pigments from solid samples using ionic liquids and chitosan nanoparticles. Journal of Chromatography A. 1463. 32–41. 24 indexed citations

18.

Asare, Gloria Quansah, Anthony Ofosu, Bradley Iott, et al.. (2015). Community-based surveillance of maternal deaths in rural Ghana. Bulletin of the World Health Organization. 94(2). 86–91. 15 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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