Feyisope Eweje

648 total citations · 1 hit paper
9 papers, 239 citations indexed

About

Feyisope Eweje is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Feyisope Eweje has authored 9 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Artificial Intelligence and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Feyisope Eweje's work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (3 papers) and Medical Imaging and Pathology Studies (2 papers). Feyisope Eweje is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (3 papers) and Medical Imaging and Pathology Studies (2 papers). Feyisope Eweje collaborates with scholars based in United States and China. Feyisope Eweje's co-authors include Yu He, Harrison X. Bai, Jing Wu, Lisa J. States, Ronnie Sebro, Xianjing Peng, Shaolei Lu, Paul Zhang, Yongheng Luo and Weihua Liao and has published in prestigious journals such as Nature, Nature Medicine and Nature Communications.

In The Last Decade

Feyisope Eweje

7 papers receiving 232 citations

Hit Papers

align trajectories

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.

A vision–language foundation model for precision oncology

2025 48 citations Jinxi Xiang, Xiyue Wang et al. Nature profile →

Peers

Countries citing papers authored by Feyisope Eweje

Since Specialization

Citations

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

Fields of papers citing papers by Feyisope Eweje

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feyisope Eweje

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

All Works

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9 of 9 papers shown

#	Work	Indexed citations
1	AI-enabled virtual spatial proteomics from histopathology for interpretable biomarker discovery in lung cancer 2026 ·Nature Medicine ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Feyisope Eweje, (unknown), (unknown), (unknown), (unknown), Colin P. Bergstrom, Ted Kim, (unknown), Sierra Hewett, Jeffrey Nirschl, (unknown), Joel W. Neal, Maximilian Diehn, (unknown)	0
2	A vision–language foundation model for precision oncology breakdown → 2025 ·Nature ·Jinxi Xiang, Xiyue Wang, Xiaoming Zhang, (unknown), Feyisope Eweje, Yijiang Chen, Yuchen Li, Colin P. Bergstrom, (unknown), Ted Kim, Kun‐Hsing Yu, Sierra Hewett, (unknown), Jeffrey Nirschl, Joel W. Neal, Maximilian Diehn, Sen Yang, Ruijiang Li	48
3	Automated cell annotation and classification on histopathology for spatial biomarker discovery 2025 ·Nature Communications ·(unknown), (unknown), Rasoul Sali, Feyisope Eweje, (unknown), (unknown), Xiaoming Zhang, Guoxin Li, Yuming Jiang, Ruijiang Li	0
4	Use of artificial intelligence–based digital pathology to predict outcomes for immune checkpoint inhibitor therapy in advanced gastro-esophageal cancer. 2024 ·Journal of Clinical Oncology ·Feyisope Eweje, Zhe Li, (unknown), (unknown), (unknown), Yuming Jiang, Maximilian Diehn, Guoxin Li, Ruijiang Li	5
5	Translatability Analysis of National Institutes of Health–Funded Biomedical Research That Applies Artificial Intelligence 2022 ·JAMA Network Open ·Feyisope Eweje, (unknown), (unknown), Fengling Hu, Ihab R. Kamel, Paul J. Zhang, Zhicheng Jiao, Harrison X. Bai	6
6	Willingness to use a wearable device capable of detecting and reversing overdose among people who use opioids in Philadelphia 2021 ·Harm Reduction Journal ·Katie Kanter, Ryan S. Gallagher, Feyisope Eweje, Alexander Lee, David Gordon, (unknown), (unknown), (unknown), Peter F. Cronholm, (unknown), James Weimer, Alexis M. Roth, Stephen E. Lankenau, (unknown)	20
7	Deep Learning for Classification of Bone Lesions on Routine MRI 2021 ·EBioMedicine ·Feyisope Eweje, (unknown), Jing Wu, (unknown), Weihua Liao, Yu He, Yongheng Luo, Shaolei Lu, Paul Zhang, Xianjing Peng, Ronnie Sebro, Harrison X. Bai, Lisa J. States	74
8	Deep Learning for Classification of Bone Lesions on Routine MRI 2021 ·SSRN Electronic Journal ·Feyisope Eweje, (unknown), Jing Wu, (unknown), Weihua Liao, Yu He, Yongheng Luo, Xianjing Peng, Paul J. Zhang, Lisa J. States, Ronnie Sebro, Harrison X. Bai	6
9	Deep learning-based classification of primary bone tumors on radiographs: A preliminary study 2020 ·EBioMedicine ·Yu He, Ian Pan, (unknown), Kasey Halsey, Marcello Chang, Hui Liu, Shuping Peng, Ronnie Sebro, Jing Guan, Thomas Yi, (unknown), Feyisope Eweje, Lisa J. States, Paul J. Zhang, Zishu Zhang, Jing Wu, Xianjing Peng, Harrison X. Bai	80

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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