William Le

408 total citations
9 papers, 109 citations indexed

About

William Le is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, William Le has authored 9 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in William Le's work include Cancer Immunotherapy and Biomarkers (7 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and CAR-T cell therapy research (4 papers). William Le is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and CAR-T cell therapy research (4 papers). William Le collaborates with scholars based in United States. William Le's co-authors include Ian A. Wilson, Michael D. Farwell, Jedd D. Wolchok, Anna M. Wu, Neeta Pandit‐Taskar, Alessandro Mascioni, Michael A. Postow, Matthew D. Hellmann, James J. Harding and Michael S. Gordon and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

William Le

7 papers receiving 108 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Le United States 4 68 49 37 25 11 9 109
Layton Woolford United States 3 58 0.9× 38 0.8× 36 1.0× 27 1.1× 16 1.5× 8 104
Esther Hwang United States 5 27 0.4× 29 0.6× 45 1.2× 24 1.0× 22 2.0× 14 108
Manuel Paez-Escamilla United States 7 52 0.8× 50 1.0× 27 0.7× 17 0.7× 48 4.4× 20 166
Dalia Alqunaibit United States 4 125 1.8× 17 0.3× 101 2.7× 20 0.8× 25 2.3× 7 181
Kamelia Zerrouki United States 4 37 0.5× 52 1.1× 89 2.4× 29 1.2× 34 3.1× 6 182
Kimberly Tang United States 5 133 2.0× 20 0.4× 33 0.9× 62 2.5× 25 2.3× 10 197
Rin Nakamura Australia 7 95 1.4× 31 0.6× 26 0.7× 13 0.5× 37 3.4× 10 139
Junlong Xu China 5 36 0.5× 42 0.9× 25 0.7× 48 1.9× 43 3.9× 11 138
Carla Casulo United States 5 55 0.8× 20 0.4× 56 1.5× 18 0.7× 14 1.3× 12 131
Victor R. Vaz United States 3 78 1.1× 10 0.2× 27 0.7× 36 1.4× 9 0.8× 12 111

Countries citing papers authored by William Le

Since Specialization
Citations

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

Fields of papers citing papers by William Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Le

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

All Works

9 of 9 papers shown
1.
Twardowski, Przemyslaw, Delphine L. Chen, Evan Hall, et al.. (2024). Baseline CD8 lymph node avidity with 89-Zr-crefmirlimab in patients with metastatic renal cell carcinoma and response to IO therapy.. Journal of Clinical Oncology. 42(4_suppl). 375–375. 1 indexed citations
2.
Quinn, Colin, Michael D. Farwell, William Le, et al.. (2023). Imaging With PET/CT of Diffuse CD8 T-Cell Infiltration of Skeletal Muscle in Patients With Inclusion Body Myositis. Neurology. 101(11). e1158–e1166. 11 indexed citations
3.
Pal, Sumanta K., Przemyslaw Twardowski, Delphine L. Chen, et al.. (2023). CD8 cell PET imaging with 89-Zr-crefmirlimab berdoxam (crefmirlimab) in patients with metastatic renal cell carcinoma (mRCC) receiving checkpoint inhibitors (CPIs): Association with response and tissue CD8 expression.. Journal of Clinical Oncology. 41(16_suppl). 4551–4551. 3 indexed citations
4.
Farwell, Michael D., Matthew D. Hellmann, James J. Harding, et al.. (2021). CD8-targeted PET Imaging of Tumor Infiltrating T cells in Patients with Cancer: A Phase I First-in-Human Study of 89Zr-Df-IAB22M2C, a Radiolabeled anti-CD8 Minibody. Journal of Nuclear Medicine. 63(5). jnumed.121.262485–jnumed.121.262485. 80 indexed citations
5.
Sunderland, John J., et al.. (2021). Two-years’ experience with a Zr-89 PET/CT scanner validation program for clinical trials. 62. 1399–1399. 1 indexed citations
6.
7.
Farwell, Michael D., Matthew D. Hellmann, James J. Harding, et al.. (2021). CD8-targeted PET Imaging of Tumor Infiltrating T cells in Patients with Cancer: A Phase I First-in-Human Study of.
8.
Farwell, Michael D., Neeta Pandit‐Taskar, Michael S. Gordon, et al.. (2020). 294 CD8 PET imaging of tumor infiltrating T cells in advanced solid tumors: a phase I first-in-human study of 89Zr-IAB22M2C, a radiolabeled anti-CD8 minibody. SHILAP Revista de lepidopterología. A179.2–A180. 7 indexed citations
9.
Postow, Michael A., James J. Harding, Matthew D. Hellmann, et al.. (2018). Imaging of tumor infiltrating T cells with an anti-CD8 minibody (Mb) 89Zr-IAB22M2C, in advanced solid tumors.. Journal of Clinical Oncology. 36(15_suppl). e24160–e24160. 6 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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