Tracy S. Nolan

2.2k total citations
20 papers, 1.3k citations indexed

About

Tracy S. Nolan is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Tracy S. Nolan has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Tracy S. Nolan's work include Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Tracy S. Nolan is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Tracy S. Nolan collaborates with scholars based in United States, Austria and Netherlands. Tracy S. Nolan's co-authors include Linda Larson‐Prior, Marcus E. Raichle, Fred Prior, John Zempel, Abraham Z. Snyder, Bradley L. Schlaggar, Rebecca S. Coalson, Soe Mar, Tammie L.S. Benzinger and Todd J. Schwedt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neurophysiology and Progress in brain research.

In The Last Decade

Tracy S. Nolan

20 papers receiving 1.3k citations

Peers

Tracy S. Nolan
Jane Maryam Rondina United Kingdom
Ningyu An China
Vitria Adisetiyo United States
Armin Biller Germany
Anil Rao United Kingdom
Birkan Tunç United States
Tracy S. Nolan
Citations per year, relative to Tracy S. Nolan Tracy S. Nolan (= 1×) peers Jean‐Philippe Fortin

Countries citing papers authored by Tracy S. Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Tracy S. Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tracy S. Nolan. 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 Tracy S. Nolan. The network helps show where Tracy S. Nolan may publish in the future.

Co-authorship network of co-authors of Tracy S. Nolan

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

All Works

20 of 20 papers shown
1.
Moawad, Ahmed W., Ali Morshid, Ahmed Khalaf, et al.. (2023). Multimodality annotated hepatocellular carcinoma data set including pre- and post-TACE with imaging segmentation. Scientific Data. 10(1). 33–33. 23 indexed citations
2.
Kemp, Aaron S., Tracy S. Nolan, Lakshmi Pillai, et al.. (2022). Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES). Frontiers in Artificial Intelligence. 4. 649970–649970. 10 indexed citations
3.
Wongsurawat, Thidathip, Piroon Jenjaroenpun, Thomas Powell, et al.. (2020). Chest imaging representing a COVID-19 positive rural U.S. population. Scientific Data. 7(1). 414–414. 35 indexed citations
4.
Papadiamantis, Anastasios G., Frederick C. Klaessig, Thomas E. Exner, et al.. (2020). Metadata Stewardship in Nanosafety Research: Community-Driven Organisation of Metadata Schemas to Support FAIR Nanoscience Data. Nanomaterials. 10(10). 2033–2033. 40 indexed citations
5.
Bennett, William, et al.. (2018). Reengineering Workflow for Curation of DICOM Datasets. Journal of Digital Imaging. 31(6). 783–791. 15 indexed citations
6.
Nolan, Tracy S., et al.. (2018). Ontology-Enhanced Representations of Non-image Data in The Cancer Imaging Archive. PubMed. 2285. 1 indexed citations
7.
Grossberg, Aaron J., Abdallah Mohamed, William Bennett, et al.. (2018). Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy. Scientific Data. 5(1). 180173–180173. 56 indexed citations
8.
Prior, Fred, Kirk Smith, Ashish Sharma, et al.. (2017). The public cancer radiology imaging collections of The Cancer Imaging Archive. Scientific Data. 4(1). 170124–170124. 93 indexed citations
9.
Schwartz, John S., et al.. (2017). Clean Water, Clean Life: Promoting Healthier, Accessible Water in Rural Appalachia. Journal of Contemporary Water Research & Education. 161(1). 1–18. 39 indexed citations
10.
Schwedt, Todd J., Linda Larson‐Prior, Rebecca S. Coalson, et al.. (2013). Allodynia and Descending Pain Modulation in Migraine: A Resting State Functional Connectivity Analysis. Pain Medicine. 15(1). 154–165. 105 indexed citations
11.
Smith, Kirk E., David G. Politte, Tracy S. Nolan, et al.. (2013). Automated measurement of skull circumference, cranial index, and braincase volume from pediatric computed tomography. PubMed. 2013. 3977–3980. 7 indexed citations
12.
Schwedt, Todd J., Bradley L. Schlaggar, Soe Mar, et al.. (2013). Atypical Resting‐State Functional Connectivity of Affective Pain Regions in Chronic Migraine. Headache The Journal of Head and Face Pain. 53(5). 737–751. 144 indexed citations
13.
Zempel, John, David G. Politte, Tracy S. Nolan, et al.. (2012). Characterization of Scale-Free Properties of Human Electrocorticography in Awake and Slow Wave Sleep States. Frontiers in Neurology. 3. 76–76. 18 indexed citations
14.
Smith, Kirk E., Tracy S. Nolan, Charles F. Hildebolt, et al.. (2012). Automated measurement of pediatric cranial bone thickness and density from clinical computed tomography. PubMed. 2012. 4462–4465. 13 indexed citations
15.
Zempel, John, et al.. (2012). Determination of neural state classification metrics from the power spectrum of human ECoG. PubMed. 97. 4336–4340. 3 indexed citations
16.
Su, Yi, et al.. (2012). Morning-evening variation in human brain metabolism and memory circuits. Journal of Neurophysiology. 109(5). 1444–1456. 83 indexed citations
17.
Larson‐Prior, Linda, Jonathan D. Power, Justin L. Vincent, et al.. (2011). Modulation of the brain’s functional network architecture in the transition from wake to sleep. Progress in brain research. 193. 277–294. 99 indexed citations
18.
Prior, Fred, Barry S. Brunsden, Charles F. Hildebolt, et al.. (2009). Facial Recognition From Volume-Rendered Magnetic Resonance Imaging Data. IEEE Transactions on Information Technology in Biomedicine. 13(1). 5–9. 44 indexed citations
19.
Larson‐Prior, Linda, John Zempel, Tracy S. Nolan, et al.. (2009). Cortical network functional connectivity in the descent to sleep. Proceedings of the National Academy of Sciences. 106(11). 4489–4494. 355 indexed citations
20.
McAvoy, Mark P., Linda Larson‐Prior, Tracy S. Nolan, et al.. (2008). Resting States Affect Spontaneous BOLD Oscillations in Sensory and Paralimbic Cortex. Journal of Neurophysiology. 100(2). 922–931. 94 indexed citations

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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