Nathan Ing

805 citations

11 papers · 411 indexed · h-index 6

Impact in

Health Informatics top 10%
Radiology, Nuclear Medicine and Imaging top 10%
- Radiomics and Machine Learning in Medical Imaging

Papers in ⓘ

Radiology, Nuclear Medicine and Imaging 6
- Radiomics and Machine Learning in Medical Imaging 6
- Medical Imaging Techniques and Applications 1
Artificial Intelligence 6
- AI in cancer detection 6

Co-authors: Arkadiusz Gertych (6 shared papers)Beatrice S. Knudsen (6 shared papers)Zhaoxuan Ma (4 shared papers)Tomasz Markiewicz (1 shared paper)Ann E. Walts (1 shared paper)Samuel Guzman (1 shared paper)Szczepan Cierniak (1 shared paper)Żaneta Świderska-Chadaj (1 shared paper)
Journals: Scientific Reports (2 papers)iScience (1 paper)Cell Genomics (1 paper)Nature Communications (1 paper)Canadian Journal of Diabetes (1 paper)
Partner nations: United States Canada Australia

In The Last Decade

Nathan Ing

10 papers receiving 400 citations

Peers

Countries citing papers authored by Nathan Ing

Since Specialization

Citations

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

Fields of papers citing papers by Nathan Ing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nathan Ing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nathan Ing Line = papers co-authored together Nathan Ing links everyone, so they are left out of the graph.

All Works

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11 of 11 papers shown

#	Work
1	Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides Scientific Reports ·Arkadiusz Gertych, Żaneta Świderska-Chadaj, Zhaoxuan Ma, Nathan Ing, Tomasz Markiewicz, Szczepan Cierniak, Hootan Salemi, Samuel Guzman, Ann E. Walts, Beatrice S. Knudsen	2019	119
2	An N-Cadherin 2 expressing epithelial cell subpopulation predicts response to surgery, chemotherapy and immunotherapy in bladder cancer Nature Communications ·Kenneth Gouin, Nathan Ing, Jasmine Plummer, Charles J. Rosser, Bassem Ben Cheikh, Catherine Oh, Stephanie S. Chen, Keith Syson Chan, Hideki Furuya, Warren G. Tourtellotte, Simon Knott, Dan Theodorescu	2021	103
3	Machine learning approaches to analyze histological images of tissues from radical prostatectomies Computerized Medical Imaging and Graphics ·Arkadiusz Gertych, Nathan Ing, Zhaoxuan Ma, Thomas J. Fuchs, Sadri Salman, Sambit K. Mohanty, Sanica Bhele, Adriana Velásquez, Mahul B. Amin, Beatrice S. Knudsen	2015	85
4	Semantic segmentation for prostate cancer grading by convolutional neural networks Zhaoxuan Ma, Jiayun Li, Hootan Salemi, Corey Arnold, Beatrice S. Knudsen, Arkadiusz Gertych, Nathan Ing	2018	49
5	A novel machine learning approach reveals latent vascular phenotypes predictive of renal cancer outcome Scientific Reports ·Nathan Ing, Fangjin Huang, Andrew B. Conley, Sungyong You, Zhaoxuan Ma, Sergey Klimov, Chisato Ohe, Xiaopu Yuan, Mahul B. Amin, Robert A. Figlin, Arkadiusz Gertych, Beatrice S. Knudsen	2017	29
6	The molecular consequences of androgen activity in the human breast Cell Genomics ·Florian Raths, Mehran Karimzadeh, Nathan Ing, Andrew Martinez, Yoona Yang, Ying Qu, Tian-Yu Lee, Brianna Mulligan, Suzanne Devkota, Wayne T. Tilley, Theresa E. Hickey, Bo Wang, Armando E. Giuliano, Shikha Bose, Hani Goodarzi, Edward Ray, Xiaojiang Cui, Simon Knott	2023	15
7	Abstract B094: Quantitative digital image analysis and machine learning for staging of prostate cancer at diagnosis Cancer Research ·Fangjin Huang, Nathan Ing, Eric L. Miller, Hootan Salemi, Michael Lewis, Isla P. Garraway, Arkadiusz Gertych, Beatrice S. Knudsen	2018	5
8	Spatial transcriptomic analysis of immune checkpoint blockade response in triple negative breast cancers with tertiary lymphoid structures iScience ·Richard H. Mebane, Teia Noel, Nathan Ing, Kenneth Gouin, Aagam Shah, David Zitser, Andrew Martinez, Gaorav P. Gupta, Sandra Demaria, Lorenzo Galluzzi, Alice Ho, Heather L. McArthur, Stephen L. Shiao, Simon R V Knott	2025	3
9	A deep multiple instance model to predict prostate cancer metastasis from nuclear morphology Nathan Ing, Jakub M. Tomczak, Eric Miller, Isla P. Garraway, Max Welling, Beatrice S. Knudsen, Arkadiusz Gertych	2018	2
10	208 High resolution in-situ multiomic analysis of FFPE tissue at scale on the G4X spatial sequencer Regular and Young Investigator Award Abstracts ·Michael Lawson, Yuji Ishitsuka, Andrew Pawloski, Sabrina Shore, Zhenmin Hong, Kenneth Gouin, Nathan Ing, G. P. Di Benedetto, Ann Tong, Tony Facchini, Ryan Costello, Maria Elena Gallina, Daan Witters, Eli N. Glezer	2024	1
11	Trends and Determinants of Self-reported Aspirin Use Among Patients With Diabetes Stratified by Presence and Risk of Cardiovascular Diseases: A Repeated Pan-Canadian Cross-sectional Study Canadian Journal of Diabetes ·Nathan Ing, Razan Amoud, John‐Michael Gamble, Mhd Wasem Alsabbagh	2021	0

About Nathan Ing

Nathan Ing is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Oncology and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 411 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Single-cell and spatial transcriptomics (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lung Cancer Diagnosis and Treatment (1 paper), Medical Imaging Techniques and Applications (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Health Informatics (12 citations), Radiology, Nuclear Medicine and Imaging (165 citations), Artificial Intelligence (217 citations), Biophysics (38 citations) and Cancer Research (57 citations). Nathan Ing has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Arkadiusz Gertych, Beatrice S. Knudsen, Zhaoxuan Ma, Tomasz Markiewicz, Ann E. Walts, Samuel Guzman, Szczepan Cierniak, Żaneta Świderska-Chadaj, Mahul B. Amin and Kenneth Gouin. Their work appears in journals such as Scientific Reports, iScience, Cell Genomics, Nature Communications and Canadian Journal of Diabetes.

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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