Sarah R. Mudd

562 total citations
21 papers, 236 citations indexed

About

Sarah R. Mudd is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sarah R. Mudd has authored 21 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sarah R. Mudd's work include Medical Imaging Techniques and Applications (5 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and HER2/EGFR in Cancer Research (4 papers). Sarah R. Mudd is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and HER2/EGFR in Cancer Research (4 papers). Sarah R. Mudd collaborates with scholars based in United States, United Kingdom and Germany. Sarah R. Mudd's co-authors include Gerard B. Fox, Todd Cole, Mark L. Day, Ulrich Ebert, Nathan R. Rustay, Vincent P. Hradil, Yumin Zhang, Feng Luo, Daniel A. Llano and Jamey P. Weichert and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Sarah R. Mudd

20 papers receiving 230 citations

Peers

Sarah R. Mudd
Mitesh Patel United States
Jan-Rung Mo United States
Vanessa Cossu Italy
Raül Tortosa Spain
Yasmine Nadler United States
Mona Al-Gizawiy United States
Wenhu Huang United States
Céléna Dubuc Canada
Young-Ji Na United States
Benjamin S. Simpson United Kingdom
Mitesh Patel United States
Sarah R. Mudd
Citations per year, relative to Sarah R. Mudd Sarah R. Mudd (= 1×) peers Mitesh Patel

Countries citing papers authored by Sarah R. Mudd

Since Specialization
Citations

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

Fields of papers citing papers by Sarah R. Mudd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah R. Mudd. 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 Sarah R. Mudd. The network helps show where Sarah R. Mudd may publish in the future.

Co-authorship network of co-authors of Sarah R. Mudd

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah R. Mudd. A scholar is included among the top collaborators of Sarah R. Mudd 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 Sarah R. Mudd. Sarah R. Mudd 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.
Singh, Avneesh K., Corbin E. Goerlich, Tianshu Zhang, et al.. (2025). Genetically engineered pig heart transplantation in non-human primates. Communications Medicine. 5(1). 6–6. 5 indexed citations
2.
Tolcher, Anthony W., Tanya B. Dorff, Sumiko Okubo, et al.. (2025). Phase 1, open-label, first-in-human study of ABBV-969, a dual variable antibody-drug conjugate, in patients with metastatic castration-resistant prostate cancer.. Journal of Clinical Oncology. 43(16_suppl).
3.
Zhang, Tianshu, Avneesh K. Singh, Corbin E. Goerlich, et al.. (2023). 107.6: Retrospective detection of latent PCMV virus in donor pigs indicates no correlation with xenograft or baboon survival. Transplantation. 107(10S2). 12–12. 1 indexed citations
4.
Wellman, Tyler J., Sarah R. Mudd, Kelly Godby, et al.. (2023). Evaluation of a semi-automated approach for FDG PET image analysis for routine clinical application in patients with multiple myeloma. Translational Oncology. 37. 101767–101767. 1 indexed citations
5.
Skaddan, Marc B., Dustin Wooten, Kyle C. Wilcox, et al.. (2022). [18F]BTK-1: A Novel Positron Emission Tomography Tracer for Imaging Bruton’s Tyrosine Kinase. Molecular Imaging and Biology. 24(5). 830–841. 3 indexed citations
6.
7.
Mudd, Sarah R., Martin J. Voorbach, Dong Cheng, et al.. (2019). Utilization of 18F-Fluorodeoxyglucose–Positron Emission Tomography To Understand the Mechanism of Nicotinamide Phosphoribosyltransferase Inhibitors In Vivo. Journal of Pharmacology and Experimental Therapeutics. 371(3). 583–589. 3 indexed citations
8.
Li, Yingchun, Jonathan A. Hickson, Deanna L. Haasch, et al.. (2018). ABT-165, a Dual Variable Domain Immunoglobulin (DVD-Ig) Targeting DLL4 and VEGF, Demonstrates Superior Efficacy and Favorable Safety Profiles in Preclinical Models. Molecular Cancer Therapeutics. 17(5). 1039–1050. 35 indexed citations
9.
Costa, Luciano J., Edward A. Stadtmauer, Gareth J. Morgan, et al.. (2018). Phase 2 Study of Venetoclax Plus Carfilzomib and Dexamethasone in Patients with Relapsed/Refractory Multiple Myeloma. Blood. 132(Supplement 1). 303–303. 16 indexed citations
10.
Mudd, Sarah R., Robert A. Comley, Mats Bergström, et al.. (2016). Molecular imaging in oncology drug development. Drug Discovery Today. 22(1). 140–147. 11 indexed citations
11.
Bradshaw, Tyler, et al.. (2015). Image quality of Zr-89 PET imaging in the Siemens microPET Focus 220 preclinical scanner. Molecular Imaging and Biology. 18(3). 377–385. 5 indexed citations
12.
Ji, Shundong, Yang Zhou, Martin J. Voorbach, et al.. (2013). Monitoring Tumor Response to Linifanib Therapy with SPECT/CT Using the Integrin αvβ3–Targeted Radiotracer 99mTc-3P-RGD2 99mTc-3P-RGD2: An Integrin αvβ3–Targeted Radiotracer to Monitor Linifanib Therapy. Journal of Pharmacology and Experimental Therapeutics. 346(2). 251–258. 18 indexed citations
13.
Phillips, Andrew C., Erwin R. Boghaert, Kedar S. Vaidya, et al.. (2013). Abstract A250: ABT-414: An anti-EGFR antibody-drug conjugate as a potential therapeutic for the treatment of patients with squamous cell tumors.. Molecular Cancer Therapeutics. 12(11_Supplement). A250–A250. 1 indexed citations
14.
Grudzinski, Joseph J., John M. Floberg, Sarah R. Mudd, et al.. (2012). Application of a whole-body pharmacokinetic model for targeted radionuclide therapy to NM404 and FLT. Physics in Medicine and Biology. 57(6). 1641–1657. 10 indexed citations
15.
Mudd, Sarah R., Martin J. Voorbach, David R. Reuter, et al.. (2012). FDG-PET as a pharmacodynamic biomarker for early assessment of treatment response to linifanib (ABT-869) in a non-small cell lung cancer xenograft model. Cancer Chemotherapy and Pharmacology. 69(6). 1669–1672. 4 indexed citations
16.
Mudd, Sarah R., Martin J. Voorbach, Todd Cole, et al.. (2011). Pharmacodynamic Evaluation of Irinotecan Therapy by FDG and FLT PET/CT Imaging in a Colorectal Cancer Xenograft Model. Molecular Imaging and Biology. 14(5). 617–624. 17 indexed citations
17.
Luo, Feng, Nathan R. Rustay, Ulrich Ebert, et al.. (2010). Characterization of 7- and 19-month-old Tg2576 mice using multimodal in vivo imaging: limitations as a translatable model of Alzheimer's disease. Neurobiology of Aging. 33(5). 933–944. 75 indexed citations
18.
Mudd, Sarah R., Vladimir S. Trubetskoy, Andrei V. Blokhin, Jamey P. Weichert, & Jon A. Wolff. (2010). Hybrid PET/CT for Noninvasive Pharmacokinetic Evaluation of Dynamic PolyConjugates, a Synthetic siRNA Delivery System. Bioconjugate Chemistry. 21(7). 1183–1189. 14 indexed citations
19.
Floberg, John M., et al.. (2009). Improving SNR in dynamic PET imaging of copper-64 and iodine-124 using HYPR. 50. 530–530. 1 indexed citations
20.
Mudd, Sarah R., Linda Clipson, Michael A. Newton, et al.. (2008). Reproducibility of Tumor Volume Measurement at MicroCT Colonography in Living Mice. Academic Radiology. 15(3). 334–341. 13 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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