Mitchell D. Schnall

31.4k citations

279 papers · 23.3k indexed · 8 hit papers · h-index 74

Impact in

Radiology, Nuclear Medicine and Imaging top 0.01%
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
Pathology and Forensic Medicine top 0.05%
- Breast Lesions and Carcinomas

Papers in

Radiology, Nuclear Medicine and Imaging 200
- MRI in cancer diagnosis 110
- Advanced MRI Techniques and Applications 81
- Radiomics and Machine Learning in Medical Imaging 59
- Medical Imaging Techniques and Applications 31
Pathology and Forensic Medicine 55
- Breast Lesions and Carcinomas 47

Co-authors: Susan G. Orel Constance D. Lehman Mark Rosen Etta D. Pisano Britton Chance Lawrence J. Solin Vasilis Ntziachristos Jeffrey C. Weinreb
Journals: Radiology (40 papers)American Journal of Roentgenology (18 papers)Magnetic Resonance in Medicine (17 papers)Journal of Clinical Oncology (15 papers)Journal of Magnetic Resonance Imaging (12 papers)
Partner nations: United States Germany Canada

In The Last Decade

Mitchell D. Schnall

274 papers receiving 22.7k citations

Hit Papers

8 papers align trajectories log scale

Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening 2020 · 265 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.

2020 JAMA
2015 European Urology
2010 Radiology
2007 CA A Cancer Journal for Clinicians
2007 New England Journal of Medicine
2001 Radiology
2000 Proceedings of the National Academy of Sciences
1992 Radiology

Peers

Countries citing papers authored by Mitchell D. Schnall

Since Specialization

Citations

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

Fields of papers citing papers by Mitchell D. Schnall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell D. Schnall. 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 Mitchell D. Schnall. The network helps show where Mitchell D. Schnall may publish in the future.

Co-authorship network

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Implementation of a Clinical Vessel Wall MR Imaging Program at an Academic Medical Center American Journal of Neuroradiology ·Jae W. Song, eddy herjanto, Bernard Gazier, Millet Part A, Yan Guang-li, K. H. PARK, Mitchell D. Schnall, Scott E. Kasner, Laurie A. Loevner	2024	1
2	Quality Improvement Report: Design and Implementation of a Radiology E-Consult Service Radiographics ·Aleksandra Aragon Natzke, Chungti Liang, Charles E. Kahn, Mitchell D. Schnall, Mark Rosen, Hanna M. Zafar, Scott O. Trerotola, Tessa S. Cook	2023	2
3	Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank Journal of the American Medical Informatics Association ·Matthew T. MacLean, Qasim Jehangir, Marijana Vujković, Yi-An Ko, Harold Litt, Arijitt Borthakur, Hersh Sagreiya, Mark Rosen, David A. Mankoff, Mitchell D. Schnall, Haochang Shou, Julio A. Chirinos, Scott M. Damrauer, Drew A. Torigian, Rotonya M. Carr, Daniel J. Rader, Walter R. Witschey	2021	14
4	Special Report of the RSNA COVID-19 Task Force: Crisis Leadership of Major Health System Radiology Departments during COVID-19 Radiology ·Mahmud Mossa‐Basha, Mitchell D. Schnall, Carolyn C. Meltzer, Laura Oleaga, Christopher G. Filippi, Milton A. Cohen, Lluís Donoso-Bach, Bien Soo Tan, (unknown), Javad Azadi, Maryellen L. Giger, Jeffrey S. Klein, Jane P. Ko, Brian S. Kuszyk, Christine O. Menias, Richard E. Sharpe, Erik Velez	2021	6
5	Abbreviated Breast Magnetic Resonance Imaging for Supplemental Screening of Women With Dense Breasts and Average Risk Journal of Clinical Oncology ·Susan P. Weinstein, Hui-Wen Leow, Ali Ahmad Haidous, Mitchell D. Schnall, Elizabeth S. McDonald, Austin R. Pantel, Samantha P. Zuckerman, Arijitt Borthakur, Emily F. Conant	2020	38
6	MR Intracranial Vessel Wall Imaging: A Systematic Review Journal of Neuroimaging ·Jae W. Song, Brianna F. Moon, KD Liberman, Srikant Kamesh Iyer, Mark A. Elliott, Haochang Shou, Steven R. Messé, Scott E. Kasner, Laurie A. Loevner, Mitchell D. Schnall, John E. Kirsch, Walter R. Witschey, Zhaoyang Fan	2020	17
7	Five Consecutive Years of Screening with Digital Breast Tomosynthesis: Outcomes by Screening Year and Round Radiology ·Emily F. Conant, Samantha P. Zuckerman, Elizabeth S. McDonald, Susan P. Weinstein, Hui-Wen Leow, 缪三义, Hermán S. García, Mitchell D. Schnall, Rebecca A. Hubbard	2020	67
8	Imaging Phenotypes of Breast Cancer Heterogeneity in Preoperative Breast Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) Scans Predict 10-Year Recurrence Clinical Cancer Research ·Rhea Chitalia, 茂一酒井, Elizabeth S. McDonald, Lauren Pantalone, Eric A. Cohen, Aimilia Gastounioti, Michael D. Feldman, Mitchell D. Schnall, Emily F. Conant, Despina Kontos	2019	54
9	Sugar alcohol provides imaging contrast in cancer detection Scientific Reports ·Puneet Bagga, Neil Wilson, Laurie J. Rich, Francesco M. Marincola, Mitchell D. Schnall, Hari Hariharan, Mohammad Haris, Ravinder Reddy	2019	11
10	Timely follow‐up of positive cancer screening results: A systematic review and recommendations from the PROSPR Consortium CA A Cancer Journal for Clinicians ·Chyke A. Doubeni, Nicole B. Gabler, Cosette M. Wheeler, Anne Marie McCarthy, Philip E. Castle, Ethan A. Halm, Mitchell D. Schnall, Celette Sugg Skinner, Anna N.A. Tosteson, Donald L. Weaver, Anil Vachani, Shivan J. Mehta, Katharine A. Rendle, Stacey A. Fedewa, Douglas A. Corley, Katrina Armstrong	2018	65
11	Breast cancer screening using tomosynthesis in combination with digital mammography compared to digital mammography alone: a cohort study within the PROSPR consortium Breast Cancer Research and Treatment ·Emily F. Conant, Elisabeth F. Beaber, Brian L. Sprague, Sally D. Herschorn, Donald L. Weaver, Tracy Onega, Anna N.A. Tosteson, Anne Marie McCarthy, Steven P. Poplack, Jennifer S. Haas, Katrina Armstrong, Mitchell D. Schnall, William E. Barlow	2016	146
12	Macroscopic optical physiological parameters correlate with microscopic proliferation and vessel area breast cancer signatures Breast Cancer Research ·So Hyun Chung, Michael D. Feldman, Daniel Martínez, Helen Kim, Mary Putt, David R. Busch, Julia Tchou, Brian J. Czerniecki, Mitchell D. Schnall, Mark Rosen, Angela DeMichele, Arjun G. Yodh, Regine Choe	2015	21
13	Locally Advanced Breast Cancer: MR Imaging for Prediction of Response to Neoadjuvant Chemotherapy—Results from ACRIN 6657/I-SPY TRIAL Radiology ·Nola M. Hylton, Jeffrey D. Blume, Wanda K. Bernreuter, Etta D. Pisano, Mark Rosen, Elizabeth A. Morris, Paul T. Weatherall, Constance D. Lehman, Gillian M. Newstead, Camilo J. Escobar-Castaño, Helga S. Marques, Laura J. Esserman, Mitchell D. Schnall	2012	359
14	Degree of Tumor FDG Uptake Correlates with Proliferation Index in Triple Negative Breast Cancer Molecular Imaging and Biology ·Julia Tchou, Seema S. Sonnad, Meredith Bergey, Sandip Basu, John Tomaszewski, Abass Alavi, Mitchell D. Schnall	2009	67
15	Comparison of triple‐negative and estrogen receptor‐positive/progesterone receptor‐positive/HER2‐negative breast carcinoma using quantitative fluorine‐18 fluorodeoxyglucose/positron emission tomography imaging parameters Cancer ·Sandip Basu, Wengen Chen, Julia Tchou, Ayşe Mavi, Tevfik Fikret Çermik, Brian J. Czerniecki, Mitchell D. Schnall, Abass Alavi	2007	194
16	MRI Evaluation of the Contralateral Breast in Women With Recently Diagnosed Breast Cancer Obstetrical & Gynecological Survey ·Constance D. Lehman, Constantine Gatsonis, Christiane Kühl, R. Edward Hendrick, Etta D. Pisano, Lucy Hanna, Sue Peacock, Stanley F. Smazal, Daniel D. Maki, Thomas B. Julian, Elizabeth R. DePeri, David A. Bluemke, Mitchell D. Schnall	2007	0
17	Cancer Yield of Mammography, MR, and US in High-Risk Women: Prospective Multi-Institution Breast Cancer Screening Study Radiology ·Constance D. Lehman, Claudine Isaacs, Mitchell D. Schnall, Etta D. Pisano, Susan M. Ascher, Paul T. Weatherall, David A. Bluemke, Deborah J. Bowen, P. Kelly Marcom, Deborah K. Armstrong, Susan M. Domchek, Gail E. Tomlinson, Steven J. Skates, Constantine Gatsonis	2007	288
18	Case Report: Primary Hepatic Angiocentric Lymphoma Digestive Diseases and Sciences ·Khoudhir Tounsi, Samuele Angelini, MACY CHANGE, Kate Fox, Mitchell D. Schnall	1997	1
19	Multicoil MR imaging of symptomatic female urethral and periurethral disease. Radiographics ·Evan S. Siegelman, M P Banner, Parvati Ramchandani, Mitchell D. Schnall	1997	37
20	MR Imaging of Mucinous Adenocarcinoma of the Prostate Journal of Computer Assisted Tomography ·Mark L. Schiebler, Mitchell D. Schnall, Eric K. Outwater	1992	11

About Mitchell D. Schnall

Mitchell D. Schnall is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 279 papers that have together received 23.3k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (110 papers), Advanced MRI Techniques and Applications (81 papers), Radiomics and Machine Learning in Medical Imaging (59 papers), Breast Lesions and Carcinomas (47 papers), Breast Cancer Treatment Studies (34 papers), Medical Imaging Techniques and Applications (31 papers), AI in cancer detection (29 papers) and Digital Radiography and Breast Imaging (23 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (14.8k citations), Pathology and Forensic Medicine (4.9k citations), Cancer Research (3.8k citations), Pulmonary and Respiratory Medicine (6.4k citations) and Oncology (3.3k citations). Mitchell D. Schnall has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Susan G. Orel, Constance D. Lehman, Mark Rosen, Etta D. Pisano, Britton Chance, Lawrence J. Solin, Vasilis Ntziachristos, Jeffrey C. Weinreb, Emily F. Conant and Clare M. Tempany. Their work appears in journals such as Radiology, American Journal of Roentgenology, Magnetic Resonance in Medicine, Journal of Clinical Oncology and Journal of Magnetic Resonance Imaging.

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.

Explore authors with similar magnitude of impact