Ellery Wulczyn

3.4k total citations · 2 hit papers
16 papers, 986 citations indexed

About

Ellery Wulczyn is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Ellery Wulczyn has authored 16 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Oncology. Recurrent topics in Ellery Wulczyn's work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (6 papers) and Wikis in Education and Collaboration (4 papers). Ellery Wulczyn is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (6 papers) and Wikis in Education and Collaboration (4 papers). Ellery Wulczyn collaborates with scholars based in United States, Austria and Italy. Ellery Wulczyn's co-authors include Lucas Dixon, Nithum Thain, Yun Liu, Po-Hsuan Cameron Chen, Craig H. Mermel, Martin C. Stumpe, David F. Steiner, Greg S. Corrado, Lily H. Peng and Fraser Elisabeth Tan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Ellery Wulczyn

14 papers receiving 952 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.

Ex Machina

2017 369 citations Ellery Wulczyn, Nithum Thain et al. profile →
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

2019 302 citations Kunal Nagpal, Davis Foote et al. npj Digital Medicine profile →

Peers

Countries citing papers authored by Ellery Wulczyn

Since Specialization

Citations

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

Fields of papers citing papers by Ellery Wulczyn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ellery Wulczyn

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	PolyPath: Adapting a Large Multimodal Model for Multislide Pathology Report Generation 2025 ·Modern Pathology ·(unknown), Lin Yang, (unknown), (unknown), Yossi Matias, Avinatan Hassidim, Greg S. Corrado, Dale R. Webster, Shravya Shetty, (unknown), Y. Liu, (unknown), Ellery Wulczyn, David F. Steiner	0
2	Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer 2024 ·SHILAP Revista de lepidopterología ·(unknown), Bianca Grosser, David F. Steiner, Veselin Grozdanov, Ellery Wulczyn, Vincenzo L’Imperio, Markus Plass, Heimo Müller, Kurt Zatloukal, (unknown), Jakob Nikolas Kather, Bruno Märkl	7
3	Clinical-Grade Validation of an Autofluorescence Virtual Staining System With Human Experts and a Deep Learning System for Prostate Cancer 2024 ·Modern Pathology ·Pok Fai Wong, (unknown), (unknown), (unknown), Charles Santori, (unknown), Andrew Homyk, Kunal Nagpal, (unknown), Ellery Wulczyn, Tadayuki Yoshitake, (unknown), David F. Steiner, Sudha Rao, Po-Hsuan Cameron Chen, (unknown), (unknown), Peter Cimermančič	4
4	Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning 2023 ·SHILAP Revista de lepidopterología ·Justin D. Krogue, Shekoofeh Azizi, Fraser Elisabeth Tan, (unknown), Trissia Brown, Markus Plass, Robert Reihs, Heimo Müller, Kurt Zatloukal, (unknown), Greg S. Corrado, Lily H. Peng, Craig H. Mermel, Yun Liu, Po-Hsuan Cameron Chen, Saurabh Gombar, Thomas J. Montine, Jeanne Shen, David F. Steiner, Ellery Wulczyn	12
5	Pathologist Validation of a Machine Learning–Derived Feature for Colon Cancer Risk Stratification 2023 ·JAMA Network Open ·Vincenzo L’Imperio, Ellery Wulczyn, Markus Plass, Heimo Müller, Nicolò Tamini, Luca Gianotti, Nicola Zucchini, Robert Reihs, Greg S. Corrado, Dale R. Webster, Lily H. Peng, Po-Hsuan Cameron Chen, Marialuisa Lavitrano, Yun Liu, David F. Steiner, Kurt Zatloukal, Fabio Pagni	31
6	Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images 2021 ·Scientific Reports ·Apaar Sadhwani, (unknown), Ali Behrooz, Trissia Brown, (unknown), (unknown), (unknown), (unknown), Fraser Elisabeth Tan, (unknown), Ellery Wulczyn, Eunhee S. Yi, Craig H. Mermel, Debra Hanks, Po-Hsuan Cameron Chen, Kimary Kulig, Cory Batenchuk, David F. Steiner, Peter Cimermančič	34
7	Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep Learning 2021 ·JAMA Ophthalmology ·(unknown), Reena Chopra, (unknown), Charlotte Cooper, (unknown), Yun Liu, Ellery Wulczyn, Daniela Florea, Cían Hughes, Alan Karthikesalingam, Hagar Khalid, (unknown), Luke Nicholson, Pearse A. Keane, Konstantinos Balaskas, Christopher Kelly	29
8	Trust Propagation with Mixed-Effects Models 2021 ·Proceedings of the International AAAI Conference on Web and Social Media ·(unknown), Ellery Wulczyn, Christopher Potts	0
9	Deep learning-based survival prediction for multiple cancer types using histopathology images 2020 ·PLoS ONE ·Ellery Wulczyn, David F. Steiner, Zhaoyang Xu, Apaar Sadhwani, Hongwu Wang, (unknown), Craig H. Mermel, Po-Hsuan Cameron Chen, Yun Liu, Martin C. Stumpe	159
10	Abstract 2096: A deep learning system to predict disease-specific survival in stage II and stage III colorectal cancer 2020 ·Cancer Research ·Ellery Wulczyn, David F. Steiner, Melissa Moran, Markus Plass, Robert Reihs, (unknown), Apaar Sadhwani, (unknown), (unknown), Po-Hsuan Cameron Chen, Yun Liu, Martin C. Stumpe, Zhaoyang Xu, Kurt Zatloukal, Craig H. Mermel	1
11	Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer breakdown → 2019 ·npj Digital Medicine ·Kunal Nagpal, Davis Foote, Yun Liu, Po-Hsuan Cameron Chen, Ellery Wulczyn, Fraser Elisabeth Tan, Niels Olson, Jenny L. Smith, Arash Mohtashamian, (unknown), Greg S. Corrado, Robert MacDonald, Lily H. Peng, Mahul B. Amin, Andrew Evans, Ankur R. Sangoi, Craig H. Mermel, Jason Hipp, Martin C. Stumpe	302
12	Wikipedia Talk Labels: Toxicity 2017 ·Figshare ·Nithum Thain, Lucas Dixon, Ellery Wulczyn	9
13	Wikipedia Talk Labels: Personal Attacks 2017 ·Figshare ·Ellery Wulczyn, Nithum Thain, Lucas Dixon	5
14	Ex Machina breakdown → 2017 ·Ellery Wulczyn, Nithum Thain, Lucas Dixon	369
15	Identifying Earmarks in Congressional Bills 2016 ·Ellery Wulczyn, Madian Khabsa, (unknown), (unknown), Joe Walsh, Christopher R. Berry, Rayid Ghani	2
16	Growing Wikipedia Across Languages via Recommendation 2016 ·PubMed ·Ellery Wulczyn, Robert West, (unknown), Jure Leskovec	22

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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