Nicholas B. Larson

5.3k total citations · 1 hit paper
146 papers, 2.7k citations indexed

About

Nicholas B. Larson is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Surgery. According to data from OpenAlex, Nicholas B. Larson has authored 146 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Molecular Biology and 24 papers in Surgery. Recurrent topics in Nicholas B. Larson's work include Genetic Associations and Epidemiology (12 papers), Liver Disease Diagnosis and Treatment (12 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Nicholas B. Larson is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Liver Disease Diagnosis and Treatment (12 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Nicholas B. Larson collaborates with scholars based in United States, Italy and China. Nicholas B. Larson's co-authors include Daniel J. Schaid, Wenan Chen, Suzette J. Bielinski, Paul A. Decker, Brooke L. Fridley, Joel G. Fletcher, Ken Arai, T Otsuka, Jeanne Luh and L Gemmell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

In The Last Decade

Nicholas B. Larson

138 papers receiving 2.7k 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.

From genome-wide associations to candidate causal variants by statistical fine-mapping

2018 523 citations Daniel J. Schaid, Nicholas B. Larson et al. profile →

Peers

Countries citing papers authored by Nicholas B. Larson

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas B. Larson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas B. Larson. 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 Nicholas B. Larson. The network helps show where Nicholas B. Larson may publish in the future.

Co-authorship network of co-authors of Nicholas B. Larson

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Quantitative Biomarkers Derived from a Novel, Contrast-Free Ultrasound, High-Definition Microvessel Imaging for Differentiating Choroidal Tumors 2024 ·Cancers ·(unknown), (unknown), Nicholas B. Larson, Lauren A. Dalvin, Mostafa Fatemi, Azra Alizad	2
2	Predicting postoperative systolic dysfunction in mitral regurgitation: CT vs. echocardiography 2024 ·Frontiers in Cardiovascular Medicine ·(unknown), (unknown), Prabhakar Rajiah, Nicholas B. Larson, (unknown), James M. Williams, Eric E. Williamson, Rick A. Nishimura, Juan A. Crestanello, Arman Arghami, Jeremy D. Collins, (unknown)	1
3	Impact of SUSAN Denoising and ComBat Harmonization on Machine Learning Model Performance for Malignant Brain Neoplasms 2024 ·American Journal of Neuroradiology ·Girish Bathla, Neetu Soni, Ian T. Mark, Yanan Liu, Nicholas B. Larson, (unknown), Suyash Mohan, John C. Benson, Saima Rathore, Amit Agarwal	1
4	Frailty and Metabolic Vulnerability in Heart Failure: A Community Cohort Study 2024 ·Journal of the American Heart Association ·(unknown), (unknown), Joseph J. Shearer, Jungnam Joo, (unknown), Maureen Sampson, Anna Wolska, Alan T. Remaley, Margery A. Connelly, James D. Otvos, Nicholas B. Larson, Suzette J. Bielinski, Véronique L. Roger	4
5	Incremental Value of a Metabolic Risk Score for Heart Failure Mortality: A Population-Based Study 2024 ·Circulation Genomic and Precision Medicine ·Jungnam Joo, Joseph J. Shearer, Anna Wolska, Alan T. Remaley, James D. Otvos, Margery A. Connelly, Maureen Sampson, Suzette J. Bielinski, Nicholas B. Larson, (unknown), (unknown), (unknown), Véronique L. Roger	1
6	Quantitative Biomarkers Derived from a Novel Contrast-Free Ultrasound High-Definition Microvessel Imaging for Distinguishing Thyroid Nodules 2023 ·Cancers ·(unknown), (unknown), Kathryn A. Robinson, Lorenzo Scalise, Nicholas B. Larson, Mostafa Fatemi, Azra Alizad	7
7	Noninvasive prediction of axillary lymph node breast cancer metastasis using morphometric analysis of nodal tumor microvessels in a contrast-free ultrasound approach 2023 ·Breast Cancer Research ·(unknown), (unknown), (unknown), Lorenzo Scalise, Jodi M. Carter, Robert T. Fazzio, Nicholas B. Larson, Mostafa Fatemi, Azra Alizad	7
8	Automated Identification of Aspirin-Exacerbated Respiratory Disease Using Natural Language Processing and Machine Learning: Algorithm Development and Evaluation Study 2023 ·SHILAP Revista de lepidopterología ·Thanai Pongdee, Nicholas B. Larson, Rohit Divekar, Suzette J. Bielinski, Hongfang Liu, Sungrim Moon	2
9	Exploring the single-cell immune landscape of kidney allograft inflammation using imaging mass cytometry 2023 ·American Journal of Transplantation ·Mariam P. Alexander, Mark Zaidi, Nicholas B. Larson, Aidan F. Mullan, Kevin D. Pavelko, Mark D. Stegall, Andrew Bentall, Bradly G. Wouters, Trevor D. McKee, Timuçin Taner	8
10	Mendelian randomization in hepatology: A review of principles, opportunities, and challenges 2023 ·Hepatology ·(unknown), Ting Ye, Lewis R. Roberts, Nicholas B. Larson, Stacey J. Winham	2
11	AI-based classification of three common malignant tumors in neuro-oncology: A multi-institutional comparison of machine learning and deep learning methods 2023 ·Journal of Neuroradiology ·Girish Bathla, (unknown), Neetu Soni, (unknown), Nicholas B. Larson, (unknown), Suyash Mohan, Douglas Roberts-Wolfe, Saima Rathore, (unknown), (unknown), Milan Sonka, Sarv Priya	19
12	Health Care Utilization and Death in Patients With Heart Failure During the COVID-19 Pandemic 2023 ·SHILAP Revista de lepidopterología ·Sheila M. Manemann, Susan A. Weston, Ruoxiang Jiang, Nicholas B. Larson, Véronique L. Roger, Paul Y. Takahashi, Alanna M. Chamberlain, Mandeep Singh, Jennifer L. St. Sauver, Suzette J. Bielinski	2
13	Morphometric analysis of tumor microvessels for detection of hepatocellular carcinoma using contrast-free ultrasound imaging: A feasibility study 2023 ·Frontiers in Oncology ·(unknown), (unknown), Nicholas B. Larson, Michael C. Olson, Thomas D. Atwell, Mostafa Fatemi, Azra Alizad	7
14	Rethinking blood eosinophil counts: Epidemiology, associated chronic diseases, and increased risks of cardiovascular disease 2022 ·Journal of Allergy and Clinical Immunology Global ·Thanai Pongdee, Sheila M. Manemann, Paul A. Decker, Nicholas B. Larson, Sungrim Moon, Jill M. Killian, Hongfang Liu, Hirohito Kita, Suzette J. Bielinski	16
15	White blood cells and chronic rhinosinusitis: a Mendelian randomization study 2022 ·Allergy Asthma and Clinical Immunology ·Thanai Pongdee, Suzette J. Bielinski, Paul A. Decker, Hirohito Kita, Nicholas B. Larson	5
16	Ultrasonographic Detection and Surgical Retrieval of a Nonmetallic Twinkle Marker in Breast Cancer: Pilot Study 2022 ·Radiology Imaging Cancer ·James W. Jakub, Gina K. Hesley, Nicholas B. Larson, Michael J. Yaszemski, A. Lee Miller, James F. Greenleaf, Matthew W. Urban, Christine U. Lee	3
17	Association of Proton Pump Inhibitors With Higher Risk of Cardiovascular Disease and Heart Failure 2021 ·Mayo Clinic Proceedings ·Elizabeth J. Bell, Suzette J. Bielinski, Jennifer L. St. Sauver, Lin Y. Chen, Mary R. Rooney, Nicholas B. Larson, Paul Y. Takahashi, Aaron R. Folsom	16
18	Whole brain 3D MR fingerprinting in multiple sclerosis: a pilot study 2021 ·BMC Medical Imaging ·(unknown), Ananya Panda, Norbert G. Campeau, Robert J. Witte, Nicholas B. Larson, Yi Sui, Aiming Lu, Kiaran P. McGee	7
19	Circulating Vascular Cell Adhesion Molecule‐1 and Incident Heart Failure: The Multi‐Ethnic Study of Atherosclerosis (MESA) 2020 ·Journal of the American Heart Association ·Ravi B. Patel, Laura A. Colangelo, Suzette J. Bielinski, Nicholas B. Larson, Jingzhong Ding, Norrina B. Allen, Erin D. Michos, Sanjiv J. Shah, Donald M. Lloyd‐Jones	40
20	An expanded variant list and assembly annotation identifies multiple novel coding and noncoding genes for prostate cancer risk using a normal prostate tissue eQTL data set 2019 ·PLoS ONE ·Melissa S. DeRycke, Melissa C. Larson, Asha Nair, Shannon K. McDonnell, Amy J. French, Lori S. Tillmans, Shaun M. Riska, Saurabh Baheti, Zachary C. Fogarty, Nicholas B. Larson, Daniel R. O’Brien, John C. Cheville, Liang Wang, Daniel J. Schaid, Stephen N. Thibodeau	3

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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