Seth T. Gammon

5.9k total citations · 1 hit paper
69 papers, 4.5k citations indexed

About

Seth T. Gammon is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Seth T. Gammon has authored 69 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Oncology. Recurrent topics in Seth T. Gammon's work include Advanced NMR Techniques and Applications (8 papers), Nanoplatforms for cancer theranostics (8 papers) and Advanced MRI Techniques and Applications (8 papers). Seth T. Gammon is often cited by papers focused on Advanced NMR Techniques and Applications (8 papers), Nanoplatforms for cancer theranostics (8 papers) and Advanced MRI Techniques and Applications (8 papers). Seth T. Gammon collaborates with scholars based in United States, Greece and Italy. Seth T. Gammon's co-authors include David Piwnica‐Worms, Christoph Reißfelder, Mario F. Fraga, Agustín F. Fernández, Sónia A. Melo, Christoph Kahlert, Nuh N. Rahbari, Juergen Weitz, Elizabeth A. Mittendorf and Valerie S. LeBleu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Seth T. Gammon

64 papers receiving 4.5k citations

Hit Papers

Glypican-1 identifies cancer exosomes and detects early p... 2015 2026 2018 2022 2015 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Seth T. Gammon United States 24 3.0k 1.4k 890 579 538 69 4.5k
Yana K. Reshetnyak United States 44 3.5k 1.1× 773 0.5× 1.1k 1.3× 397 0.7× 482 0.9× 104 5.0k
Oleg A. Andreev United States 37 2.8k 0.9× 683 0.5× 1.1k 1.2× 321 0.6× 374 0.7× 104 4.2k
Timothy R. Dafforn United Kingdom 50 5.0k 1.7× 1.0k 0.7× 602 0.7× 612 1.1× 379 0.7× 152 7.4k
Congjian Xu China 35 2.1k 0.7× 873 0.6× 1.3k 1.4× 755 1.3× 679 1.3× 158 4.9k
Simon T. Barry United Kingdom 38 2.8k 0.9× 685 0.5× 1.5k 1.7× 1.4k 2.3× 808 1.5× 123 6.1k
Ikuhiko Nakase Japan 43 6.3k 2.1× 652 0.5× 576 0.6× 298 0.5× 642 1.2× 121 7.5k
Michael Donovan United States 31 3.0k 1.0× 945 0.7× 942 1.1× 415 0.7× 319 0.6× 137 4.9k
Stephen J. Kron United States 44 5.8k 1.9× 519 0.4× 869 1.0× 904 1.6× 416 0.8× 151 8.4k
Neil O. Carragher United Kingdom 43 3.9k 1.3× 827 0.6× 782 0.9× 1.4k 2.4× 727 1.4× 130 7.2k
Sushmita Mukherjee United States 34 3.5k 1.1× 456 0.3× 668 0.8× 321 0.6× 351 0.7× 74 5.6k

Countries citing papers authored by Seth T. Gammon

Since Specialization
Citations

This map shows the geographic impact of Seth T. Gammon'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 Seth T. Gammon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seth T. Gammon more than expected).

Fields of papers citing papers by Seth T. Gammon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seth T. Gammon. 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 Seth T. Gammon. The network helps show where Seth T. Gammon may publish in the future.

Co-authorship network of co-authors of Seth T. Gammon

This figure shows the co-authorship network connecting the top 25 collaborators of Seth T. Gammon. A scholar is included among the top collaborators of Seth T. Gammon 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 Seth T. Gammon. Seth T. Gammon 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
2.
Pagel, Mark D., Charles V. Kingsley, Jingfei Ma, et al.. (2025). Multiparametric MRI to Predict Response to Irreversible Electroporation Plus Anti‐ PD ‐1 Immunotherapy in Pancreatic Ductal Adenocarcinoma. Magnetic Resonance in Medicine. 95(4). 2266–2276.
3.
Liu, Arthur, Seth T. Gammon, Federica Pisaneschi, et al.. (2023). Hypoxia-activated prodrug and antiangiogenic therapies cooperatively treat pancreatic cancer but elicit immunosuppressive G-MDSC infiltration. JCI Insight. 9(1). 7 indexed citations
4.
Malyarenko, Dariya, Stephen Pickup, Rong Zhou, et al.. (2023). Evaluation of Apparent Diffusion Coefficient Repeatability and Reproducibility for Preclinical MRIs Using Standardized Procedures and a Diffusion-Weighted Imaging Phantom. Tomography. 9(1). 375–386. 4 indexed citations
5.
Engel, Brian J., Vincenzo Paolillo, Margie N. Sutton, et al.. (2023). Gender Differences in a Mouse Model of Hepatocellular Carcinoma Revealed Using Multi-Modal Imaging. Cancers. 15(15). 3787–3787. 2 indexed citations
6.
González, Caleb, et al.. (2023). TLR5 agonists enhance anti-tumor immunity and overcome resistance to immune checkpoint therapy. Communications Biology. 6(1). 31–31. 17 indexed citations
7.
8.
Pisaneschi, Federica, et al.. (2022). Imaging of innate immunity activation in vivo with a redox-tuned PET reporter. Nature Biotechnology. 40(6). 965–973. 23 indexed citations
9.
Gray, Joshua P., Rajan Chaudhari, Margie N. Sutton, et al.. (2021). Directed evolution of cyclic peptides for inhibition of autophagy. Chemical Science. 12(10). 3526–3543. 27 indexed citations
10.
Salzillo, Travis C., Joseph Weygand, Joy Gumin, et al.. (2021). Measuring the Metabolic Evolution of Glioblastoma throughout Tumor Development, Regression, and Recurrence with Hyperpolarized Magnetic Resonance. Cells. 10(10). 2621–2621. 9 indexed citations
12.
Gammon, Seth T., Niki M. Zacharias, Tracy Liu, et al.. (2020). Hyperpolarized [1- 13 C]pyruvate-to-[1- 13 C]lactate conversion is rate-limited by monocarboxylate transporter-1 in the plasma membrane. Proceedings of the National Academy of Sciences. 117(36). 22378–22389. 50 indexed citations
13.
Lytle, Nikki K., Seth T. Gammon, Tikvah K. Hayes, et al.. (2020). Analysis of RAS protein interactions in living cells reveals a mechanism for pan-RAS depletion by membrane-targeted RAS binders. Proceedings of the National Academy of Sciences. 117(22). 12121–12130. 12 indexed citations
14.
Dutta, Prasanta, Erick Riquelme, Michelle Zoltan, et al.. (2020). Early Detection of Pancreatic Intraepithelial Neoplasias (PanINs) in Transgenic Mouse Model by Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy. International Journal of Molecular Sciences. 21(10). 3722–3722. 12 indexed citations
15.
Dutta, Prasanta, Travis C. Salzillo, Shivanand Pudakalakatti, et al.. (2019). Assessing Therapeutic Efficacy in Real-time by Hyperpolarized Magnetic Resonance Metabolic Imaging. Cells. 8(4). 340–340. 20 indexed citations
16.
Pisaneschi, Federica, Seth T. Gammon, Fabrizio Machetti, et al.. (2019). Multiwalled carbon nanotubes for combination therapy: a biodistribution and efficacy pilot study. Journal of Materials Chemistry B. 7(16). 2678–2687. 18 indexed citations
17.
Dutta, Prasanta, Jae-Hyuk Lee, Ya’an Kang, et al.. (2019). Combining Hyperpolarized Real-Time Metabolic Imaging and NMR Spectroscopy To Identify Metabolic Biomarkers in Pancreatic Cancer. Journal of Proteome Research. 18(7). 2826–2834. 25 indexed citations
18.
Salzillo, Travis C., Nicholas Whiting, Jae-Hyuk Lee, et al.. (2016). Interrogating Metabolism in Brain Cancer. Magnetic Resonance Imaging Clinics of North America. 24(4). 687–703. 17 indexed citations
20.
Ippolito, Joseph E., Matthew E. Merritt, Fredrik Bäckhed, et al.. (2006). Linkage between cellular communications, energy utilization, and proliferation in metastatic neuroendocrine cancers. Proceedings of the National Academy of Sciences. 103(33). 12505–12510. 33 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026