Travis M. Shaffer

1.2k total citations
25 papers, 907 citations indexed

About

Travis M. Shaffer is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Travis M. Shaffer has authored 25 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Molecular Biology and 8 papers in Biomedical Engineering. Recurrent topics in Travis M. Shaffer's work include Radiopharmaceutical Chemistry and Applications (7 papers), Medical Imaging Techniques and Applications (5 papers) and Nanoplatforms for cancer theranostics (5 papers). Travis M. Shaffer is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (7 papers), Medical Imaging Techniques and Applications (5 papers) and Nanoplatforms for cancer theranostics (5 papers). Travis M. Shaffer collaborates with scholars based in United States, Canada and Netherlands. Travis M. Shaffer's co-authors include Jan Grimm, Edwin C. Pratt, Charles Michael Drain, Sanjiv S. Gambhir, Stefan Harmsen, Moritz F. Kircher, Matthew A. Wall, Amin Aalipour, Charalambos Kaittanis and Valerie A. Longo and has published in prestigious journals such as Nature Communications, Nano Letters and Nature Nanotechnology.

In The Last Decade

Travis M. Shaffer

25 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis M. Shaffer United States 15 477 233 192 187 184 25 907
Louiza Loizou Sweden 14 245 0.5× 280 1.2× 186 1.0× 145 0.8× 231 1.3× 23 952
Jessica P. Houston United States 18 647 1.4× 362 1.6× 82 0.4× 210 1.1× 413 2.2× 50 1.5k
Gyu Seong Heo United States 21 409 0.9× 135 0.6× 451 2.3× 123 0.7× 293 1.6× 49 1.4k
Aimen Zlitni United States 15 535 1.1× 164 0.7× 77 0.4× 101 0.5× 196 1.1× 20 842
Lisa E. Cole United States 16 459 1.0× 180 0.8× 213 1.1× 190 1.0× 323 1.8× 20 1.0k
David Kryza France 15 216 0.5× 204 0.9× 177 0.9× 73 0.4× 194 1.1× 55 782
Anders E. Hansen Denmark 23 546 1.1× 427 1.8× 539 2.8× 130 0.7× 413 2.2× 61 1.4k
Daehong Kim South Korea 17 419 0.9× 268 1.2× 261 1.4× 110 0.6× 331 1.8× 29 1.1k
Palle Rasmussen Denmark 18 302 0.6× 363 1.6× 341 1.8× 251 1.3× 285 1.5× 27 1.3k
Katheryne E. Wilson United States 16 1.2k 2.5× 280 1.2× 131 0.7× 110 0.6× 212 1.2× 23 1.4k

Countries citing papers authored by Travis M. Shaffer

Since Specialization
Citations

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

Fields of papers citing papers by Travis M. Shaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis M. Shaffer. 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 Travis M. Shaffer. The network helps show where Travis M. Shaffer may publish in the future.

Co-authorship network of co-authors of Travis M. Shaffer

This figure shows the co-authorship network connecting the top 25 collaborators of Travis M. Shaffer. A scholar is included among the top collaborators of Travis M. Shaffer 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 Travis M. Shaffer. Travis M. Shaffer 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.
Pratt, Edwin C., Travis M. Shaffer, David Bauer, Jason S. Lewis, & Jan Grimm. (2025). Radiances of Cerenkov-Emitting Radionuclides on the In Vivo Imaging System. Journal of Nuclear Medicine. 66(5). 817–821. 1 indexed citations
2.
Shaffer, Travis M., Arutselvan Natarajan, & Sanjiv S. Gambhir. (2021). PET Imaging of TIGIT Expression on Tumor-Infiltrating Lymphocytes. Clinical Cancer Research. 27(7). 1932–1940. 27 indexed citations
3.
Henry, Kelly E., Travis M. Shaffer, Janine Ring, et al.. (2021). Exploiting the MUC5AC Antigen for Noninvasive Identification of Pancreatic Cancer. Journal of Nuclear Medicine. 62(10). 1384–1390. 5 indexed citations
4.
Clark, Michael D., et al.. (2021). Design and evaluation of Raman reporters for the Raman-silent region. Nanotheranostics. 6(1). 1–9. 12 indexed citations
5.
Shaffer, Travis M. & Sanjiv S. Gambhir. (2021). Multiplexed Raman Imaging in Tissues and Living Organisms. Methods in molecular biology. 2350. 331–340. 2 indexed citations
6.
Shaffer, Travis M., Amin Aalipour, Christian M. Schürch, & Sanjiv S. Gambhir. (2020). PET Imaging of the Natural Killer Cell Activation Receptor NKp30. Journal of Nuclear Medicine. 61(9). 1348–1354. 21 indexed citations
7.
Aalipour, Amin, Fabrice Le Bœuf, Matthew Y. H. Tang, et al.. (2020). Viral Delivery of CAR Targets to Solid Tumors Enables Effective Cell Therapy. Molecular Therapy — Oncolytics. 17. 232–240. 59 indexed citations
8.
Monfared, Yashar E., Travis M. Shaffer, Sanjiv S. Gambhir, & K. C. Hewitt. (2019). Continuous-Wave Coherent Raman Spectroscopy via Plasmonic Enhancement. Scientific Reports. 9(1). 12092–12092. 9 indexed citations
9.
Jabarkheel, Rashad, Jonathon J. Parker, Chi-Sing Ho, et al.. (2019). Intraoperative Detection of Pediatric Brain Tumor Margins Using Raman Spectroscopy.. Neurosurgery. 66(Supplement 1). 310–132. 3 indexed citations
10.
Pratt, Edwin C., et al.. (2018). Nanoparticles as multimodal photon transducers of ionizing radiation. Nature Nanotechnology. 13(5). 418–426. 68 indexed citations
11.
Wall, Matthew A., Travis M. Shaffer, Stefan Harmsen, et al.. (2017). Chelator-Free Radiolabeling of SERRS Nanoparticles for Whole-Body PET and Intraoperative Raman Imaging. Theranostics. 7(12). 3068–3077. 46 indexed citations
12.
Shaffer, Travis M., Edwin C. Pratt, & Jan Grimm. (2017). Utilizing the power of Cerenkov light with nanotechnology. Nature Nanotechnology. 12(2). 106–117. 166 indexed citations
13.
Shaffer, Travis M., Charles Michael Drain, & Jan Grimm. (2016). Optical Imaging of Ionizing Radiation from Clinical Sources. Journal of Nuclear Medicine. 57(11). 1661–1666. 28 indexed citations
14.
Shaffer, Travis M., et al.. (2016). Stable Radiolabeling of Sulfur-Functionalized Silica Nanoparticles with Copper-64. Nano Letters. 16(9). 5601–5604. 49 indexed citations
15.
Pratt, Edwin C., Travis M. Shaffer, & Jan Grimm. (2016). Nanoparticles and radiotracers: advances toward radionanomedicine. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 8(6). 872–890. 48 indexed citations
16.
Shaffer, Travis M., Matthew A. Wall, Stefan Harmsen, et al.. (2015). Silica Nanoparticles as Substrates for Chelator-free Labeling of Oxophilic Radioisotopes. Nano Letters. 15(2). 864–868. 103 indexed citations
17.
18.
Kaittanis, Charalambos, Travis M. Shaffer, Daniel L.J. Thorek, & Jan Grimm. (2014). Dawn of Advanced Molecular Medicine: Nanotechnological Advancements in Cancer Imaging and Therapy. Critical Reviews™ in Oncogenesis. 19(3-4). 143–176. 19 indexed citations
19.
Shaffer, Travis M., et al.. (2014). Radiolabeling of RNA aptamers with zirconium-89 and subsequent in vivo evaluation. 55. 1056–1056. 1 indexed citations
20.
Kaittanis, Charalambos, Travis M. Shaffer, Anuja Ogirala, et al.. (2014). Environment-responsive nanophores for therapy and treatment monitoring via molecular MRI quenching. Nature Communications. 5(1). 3384–3384. 88 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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