Richard J. Chen

8.1k citations

51 papers · 3.8k indexed · 8 hit papers · h-index 24

Impact in

Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
Anesthesiology and Pain Medicine top 1%
- Anesthesia and Sedative Agents

Papers in

Health Informatics 4
- Artificial Intelligence in Healthcare and Education 4
Artificial Intelligence 21
- AI in cancer detection 19
- Machine Learning in Healthcare 3

Co-authors: Faisal Mahmood Ming Y. Lu Drew F. K. Williamson Tiffany Chen Jana Lipková Bowen Chen Muhammad Shaban Chengkuan Chen
Journals: Nature Medicine (4 papers)Journal of Pathology Informatics (3 papers)Cancer Cell (2 papers)Nature Biomedical Engineering (2 papers)Anesthesia & Analgesia (2 papers)
Partner nations: United States Canada Australia

In The Last Decade

Richard J. Chen

50 papers receiving 3.7k citations

Hit Papers

8 papers align trajectories log scale

Towards a general-purpose foundation model for computational pathology 2024 · 331 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 Nature Medicine
2024 Nature Medicine
2024 Nature
2023 Nature Biomedical Engineering
2022 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2022 Cancer Cell
2022 Cancer Cell
2021 Nature Biomedical Engineering

Peers

Countries citing papers authored by Richard J. Chen

Since Specialization

Citations

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

Fields of papers citing papers by Richard J. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard J. Chen. 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 Richard J. Chen. The network helps show where Richard J. Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Richard J. Chen, 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 Richard J. Chen Line = papers co-authored together Richard J. Chen links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	A multimodal generative AI copilot for human pathology Nature ·Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, Richard J. Chen, Melissa Zhao, Aaron K. Chow, Kenji Ikemura, Ahrong Kim, Dimitra Pouli, Ankush Patel, Amr Soliman, Chengkuan Chen, Tong Ding, Judy J. Wang, Georg K. Gerber, Ivy Liang, Long P. Le, Anil V. Parwani, Luca L. Weishaupt, Faisal Mahmood Hit paper breakdown →	2024	156
2	Towards a general-purpose foundation model for computational pathology Nature Medicine ·Richard J. Chen, Tong Ding, Ming Y. Lu, Drew F. K. Williamson, Guillaume Jaume, Andrew H. Song, Bowen Chen, Andrew Zhang, Daniel Shao, Muhammad Shaban, Mane Williams, Lukas Oldenburg, Luca L. Weishaupt, Judy J. Wang, Anurag Vaidya, Long P. Le, Georg K. Gerber, Sharifa Sahai, W. Roger Williams, Faisal Mahmood Hit paper breakdown →	2024	331
3	Transcriptomics-Guided Slide Representation Learning in Computational Pathology Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood	2024	10
4	A visual-language foundation model for computational pathology Nature Medicine ·Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, Richard J. Chen, Ivy Liang, Tong Ding, Guillaume Jaume, Igor Odintsov, Long P. Le, Georg K. Gerber, Anil V. Parwani, Andrew Zhang, Faisal Mahmood Hit paper breakdown →	2024	228
5	Targeting Endogenous Tau in Seeded Tauopathy Models Inhibits Tau Spread Journal of Neuroscience ·Elliot Jang, Kevt’her Hoxha, Damian Mozier, Abigail Insana, Emmanuel Farber, Lakshmi Changolkar, Bin Zhang, Tak-Ian Chio, Alex Crowe, Richard J. Chen, Marc Mercken, Edward B. Lee, Kelvin C. Luk, Kurt R. Brunden, Virginia M.‐Y. Lee, Hong Xu	2024	1
6	Management of a Proximal and Distal Staple Line Leak Following Sleeve Gastrectomy and a Concurrent Duodenal Ulcer by Emergency Laparoscopic Conversion to a Roux-en-Y Gastric Bypass Obesity Surgery ·Thomas Viet Tung Vu, Baxter Smith, Richard J. Chen, Aaditya Narendra, Wendy A. Brown	2023	0
7	Algorithmic fairness in artificial intelligence for medicine and healthcare Nature Biomedical Engineering ·Richard J. Chen, Judy J. Wang, Drew F. K. Williamson, Tiffany Chen, Jana Lipková, Ming Y. Lu, Sharifa Sahai, Faisal Mahmood Hit paper breakdown →	2023	253
8	Artificial intelligence for multimodal data integration in oncology Cancer Cell ·Jana Lipková, Richard J. Chen, Bowen Chen, Ming Y. Lu, Matteo Barbieri, Daniel Shao, Anurag Vaidya, Chengkuan Chen, Luoting Zhuang, Drew F. K. Williamson, Muhammad Shaban, Tiffany Chen, Faisal Mahmood Hit paper breakdown →	2022	333
9	Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies Nature Medicine ·Jana Lipková, Tiffany Chen, Ming Y. Lu, Richard J. Chen, Maha Shady, Mane Williams, Jingwen Wang, Zahra Noor, Richard N. Mitchell, Mehmet Turan, Gulfize Coskun, Funda Yılmaz, Derya Demir, Denız Nart, Kayhan Başak, Nesrin Turhan, Selvinaz Özkara, Yara Banz, Katja E. Odening, Faisal Mahmood	2022	52
10	Pan-cancer integrative histology-genomic analysis via multimodal deep learning Cancer Cell ·Richard J. Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Chen, Jana Lipková, Zahra Noor, Muhammad Shaban, Maha Shady, Mane Williams, Bumjin Joo, Faisal Mahmood Hit paper breakdown →	2022	291
11	Synthetic data in machine learning for medicine and healthcare Nature Biomedical Engineering ·Richard J. Chen, Ming Y. Lu, Tiffany Chen, Drew F. K. Williamson, Faisal Mahmood Hit paper breakdown →	2021	414
12	Post-embolization outcomes of splenic artery pseudoaneurysms: A single-center experience Clinical Imaging ·Abhinav Talwar, Gabriel Knight, Ali Al Asadi, Pouya Entezari, Richard J. Chen, Scott A. Resnick, Sri Komanduri, Ahmed Gabr, Bartley Thornburg, Riad Salem, Ahsun Riaz	2021	8
13	Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation) Ming Y. Lu, Richard J. Chen, Faisal Mahmood	2020	23
14	Learned sensing: jointly optimized microscope hardware for accurate image classification Biomedical Optics Express ·Alex K. Muthumbi, Amey Chaware, Kanghyun Kim, Kevin C. Zhou, Pavan Chandra Konda, Richard J. Chen, Benjamin Judkewitz, Andreas Erdmann, Barbara Kappes, Roarke Horstmeyer	2019	40
15	Force Myography to Control Robotic Upper Extremity Prostheses: A Feasibility Study Frontiers in Bioengineering and Biotechnology ·Erina Cho, Richard J. Chen, Lukas-Karim Merhi, Zhen Gang Xiao, Brittany Pousett, Carlo Menon	2016	108
16	Variations in Glycogen Synthesis in Human Pluripotent Stem Cells with Altered Pluripotent States PLoS ONE ·Richard J. Chen, Guofeng Zhang, Susan H. Garfield, Yijun Shi, Kevin G. Chen, Pamela Gehron Robey, Richard D. Leapman	2015	15
17	The use of a fully integrated electronic medical record to minimize cumulative lifetime radiation exposure from CT scanning to detect urinary tract calculi Emergency Radiology ·Steven W. Kohler, Richard J. Chen, Alex Kagan, Dustin W. Helvey, David Buccigrossi	2013	1
18	Gastrostomy tube placement by endoscopy versus radiologic methods in patients with ALS: A retrospective study of complications and outcome Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration ·Jeffrey A. Allen, Richard J. Chen, Senda Ajroud‐Driss, Robert Sufit, Scott Heller, Teepu Siddique, Lisa F. Wolfe	2013	53
19	Portogastric fistula complicating remote gastric variceal coil embolization Clinical Journal of Gastroenterology ·Monish Merchant, Disha Mahendra, J. Kirk Martin, Richard J. Chen, Scott A. Resnick	2013	3
20	The Hemodynamic and Adrenergic Effects of Perioperative Dexmedetomidine Infusion after Vascular Surgery Anesthesia & Analgesia ·Pekka Talke, Richard J. Chen, Brian A. Thomas, Anil Aggarwall, Alexandru Gottlieb, Per Thorborg, Stephen O. Heard, Albert T. Cheung, Stanley Lee Son, Antero Kallio	2000	89

About Richard J. Chen

Richard J. Chen is a scholar working on Health Informatics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biophysics, having authored 51 papers that have together received 3.8k indexed citations. Recurring topics across this work include AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Digital Imaging for Blood Diseases (5 papers), Artificial Intelligence in Healthcare and Education (4 papers), Biomedical Text Mining and Ontologies (4 papers), Cell Image Analysis Techniques (3 papers), Esophageal and GI Pathology (3 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Informatics (451 citations), Anesthesiology and Pain Medicine (318 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Artificial Intelligence (1.6k citations) and Biophysics (242 citations). Richard J. Chen has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Faisal Mahmood, Ming Y. Lu, Drew F. K. Williamson, Tiffany Chen, Jana Lipková, Bowen Chen, Muhammad Shaban, Chengkuan Chen, Judy J. Wang and Anurag Vaidya. Their work appears in journals such as Nature Medicine, Journal of Pathology Informatics, Cancer Cell, Nature Biomedical Engineering and Anesthesia & Analgesia.

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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