Fanny Chapelin

683 total citations
21 papers, 503 citations indexed

About

Fanny Chapelin is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Fanny Chapelin has authored 21 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Oncology. Recurrent topics in Fanny Chapelin's work include Virus-based gene therapy research (5 papers), Mesenchymal stem cell research (5 papers) and CAR-T cell therapy research (5 papers). Fanny Chapelin is often cited by papers focused on Virus-based gene therapy research (5 papers), Mesenchymal stem cell research (5 papers) and CAR-T cell therapy research (5 papers). Fanny Chapelin collaborates with scholars based in United States, Australia and Mexico. Fanny Chapelin's co-authors include Eric T. Ahrens, Christian M. Capitini, Aman Khurana, Heike E. Daldrup‐Link, Hossein Nejadnik, Olga D. Lenkov, Nikita Derugin, Hideho Okada, Amitabh Gaur and Ray Chun‐Fai Chan and has published in prestigious journals such as Scientific Reports, Radiology and Small.

In The Last Decade

Fanny Chapelin

21 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fanny Chapelin United States 10 165 156 112 102 87 21 503
Amanda M. Hamilton Canada 16 220 1.3× 242 1.6× 74 0.7× 137 1.3× 116 1.3× 37 749
Anna Degrassi Italy 17 144 0.9× 226 1.4× 80 0.7× 185 1.8× 83 1.0× 26 736
Venkateswara Rao Gogineni United States 14 163 1.0× 218 1.4× 58 0.5× 46 0.5× 86 1.0× 24 561
Ali M. Rad United States 10 204 1.2× 239 1.5× 212 1.9× 88 0.9× 193 2.2× 12 683
Rüdiger Bantleon Germany 9 145 0.9× 97 0.6× 113 1.0× 75 0.7× 139 1.6× 17 413
Rosalinda Castaneda United States 9 280 1.7× 172 1.1× 74 0.7× 73 0.7× 235 2.7× 9 591
Daniel Golovko United States 19 361 2.2× 217 1.4× 165 1.5× 151 1.5× 193 2.2× 21 917
Liejing Lu China 19 412 2.5× 262 1.7× 103 0.9× 161 1.6× 234 2.7× 36 933
Hannsjörg Sinn Germany 10 137 0.8× 322 2.1× 40 0.4× 141 1.4× 182 2.1× 16 704
Kohei Nakajima Japan 14 145 0.9× 111 0.7× 68 0.6× 94 0.9× 26 0.3× 55 569

Countries citing papers authored by Fanny Chapelin

Since Specialization
Citations

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

Fields of papers citing papers by Fanny Chapelin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fanny Chapelin. 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 Fanny Chapelin. The network helps show where Fanny Chapelin may publish in the future.

Co-authorship network of co-authors of Fanny Chapelin

This figure shows the co-authorship network connecting the top 25 collaborators of Fanny Chapelin. A scholar is included among the top collaborators of Fanny Chapelin 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 Fanny Chapelin. Fanny Chapelin 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.
Howerton, Brock S., et al.. (2025). Receptor-Mediated SPION Labeling of CD4+ T Cells for Longitudinal MRI Tracking of Distribution Following Systemic Injection in Mouse. Nanomaterials. 15(14). 1068–1068. 2 indexed citations
2.
Gedaly, Roberto, L. J. Lewis, Fanny Chapelin, et al.. (2024). Effect of mitochondrial oxidative stress on regulatory T cell manufacturing for clinical application in transplantation: Results from a pilot study. American Journal of Transplantation. 25(4). 720–733. 1 indexed citations
3.
Howerton, Brock S., et al.. (2023). Magnetic Resonance Imaging of Macrophage Response to Radiation Therapy. Cancers. 15(24). 5874–5874. 3 indexed citations
4.
Gedaly, Roberto, Fanny Chapelin, Aman Khurana, et al.. (2023). Metabolic Disruption Induced by mTOR Signaling Pathway Inhibition in Regulatory T-Cell Expansion for Clinical Application. Cells. 12(16). 2066–2066. 9 indexed citations
5.
Liang, Ying, et al.. (2023). Enhancing ROS‐Inducing Nanozyme through Intraparticle Electron Transport. Small. 20(6). e2305974–e2305974. 16 indexed citations
6.
Gedaly, Roberto, Lilia Turcios, David S. Watt, et al.. (2022). Anti-neoplastic sulfonamides alter the metabolic homeostasis and disrupt the suppressor activity of regulatory T cells. Scientific Reports. 12(1). 19112–19112. 7 indexed citations
7.
Khurana, Aman, Francesc Martí, David K. Powell, et al.. (2022). Cell sorting microbeads as novel contrast agent for magnetic resonance imaging. Scientific Reports. 12(1). 7 indexed citations
8.
Chapelin, Fanny, et al.. (2021). Prognostic Value of Fluorine-19 MRI Oximetry Monitoring in cancer. Molecular Imaging and Biology. 24(2). 208–219. 7 indexed citations
9.
Chapelin, Fanny, Benjamin I. Leach, Ruifeng Chen, et al.. (2021). Assessing Oximetry Response to Chimeric Antigen Receptor T-cell Therapy against Glioma with 19F MRI in a Murine Model. Radiology Imaging Cancer. 3(1). e200062–e200062. 9 indexed citations
11.
Turcios, Lilia, Francesc Martí, David S. Watt, et al.. (2020). Mitochondrial uncoupling and the disruption of the metabolic network in hepatocellular carcinoma. Oncotarget. 11(31). 3013–3024. 8 indexed citations
12.
Hingorani, Dina V., et al.. (2019). Cell penetrating peptide functionalized perfluorocarbon nanoemulsions for targeted cell labeling and enhanced fluorine‐19 MRI detection. Magnetic Resonance in Medicine. 83(3). 974–987. 37 indexed citations
13.
Chapelin, Fanny, Aman Khurana, Florette K. Hazard, et al.. (2018). Tumor Formation of Adult Stem Cell Transplants in Rodent Arthritic Joints. Molecular Imaging and Biology. 21(1). 95–104. 13 indexed citations
14.
Chapelin, Fanny, Christian M. Capitini, & Eric T. Ahrens. (2018). Fluorine-19 MRI for detection and quantification of immune cell therapy for cancer. Journal for ImmunoTherapy of Cancer. 6(1). 105–105. 76 indexed citations
15.
Chapelin, Fanny, Shang Gao, Hideho Okada, et al.. (2017). Fluorine-19 nuclear magnetic resonance of chimeric antigen receptor T cell biodistribution in murine cancer model. Scientific Reports. 7(1). 17748–17748. 33 indexed citations
16.
Khurana, Aman, et al.. (2017). Visualization of macrophage recruitment in head and neck carcinoma model using fluorine‐19 magnetic resonance imaging. Magnetic Resonance in Medicine. 79(4). 1972–1980. 36 indexed citations
17.
Daldrup‐Link, Heike E., Carmel T. Chan, Olga D. Lenkov, et al.. (2017). Detection of Stem Cell Transplant Rejection with Ferumoxytol MR Imaging: Correlation of MR Imaging Findings with Those at Intravital Microscopy. Radiology. 284(2). 495–507. 23 indexed citations
18.
Nejadnik, Hossein, Sebastian Diecke, Olga D. Lenkov, et al.. (2015). Improved Approach for Chondrogenic Differentiation of Human Induced Pluripotent Stem Cells. Stem Cell Reviews and Reports. 11(2). 242–253. 78 indexed citations
19.
Khurana, Aman, Fanny Chapelin, Olga D. Lenkov, et al.. (2013). Iron Administration before Stem Cell Harvest Enables MR Imaging Tracking after Transplantation. Radiology. 269(1). 186–197. 55 indexed citations
20.
Khurana, Aman, Hossein Nejadnik, Fanny Chapelin, et al.. (2013). Ferumoxytol: A New, Clinically Applicable Label for Stem-Cell Tracking in Arthritic Joints with MRI. Nanomedicine. 8(12). 1969–1983. 75 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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