Hyking Haley

588 total citations
9 papers, 126 citations indexed

About

Hyking Haley is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Hyking Haley has authored 9 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Hyking Haley's work include Radiopharmaceutical Chemistry and Applications (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Medical Imaging Techniques and Applications (2 papers). Hyking Haley is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Medical Imaging Techniques and Applications (2 papers). Hyking Haley collaborates with scholars based in United States, Sweden and Netherlands. Hyking Haley's co-authors include Daniel Rubins, Paul McQuade, Xiangjun Meng, Qingshou Chen, Dinko González Trotter, Zhizhen Zeng, Philip S. Low, Shu-An Lin, Eric D. Hostetler and Michael Klimas and has published in prestigious journals such as Journal of Lipid Research, Vaccine and Molecular Pharmaceutics.

In The Last Decade

Hyking Haley

9 papers receiving 126 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyking Haley United States 5 71 60 23 23 20 9 126
Laura Kist de Ruijter Netherlands 4 90 1.3× 90 1.5× 18 0.8× 25 1.1× 34 1.7× 5 161
William Le United States 4 49 0.7× 68 1.1× 11 0.5× 25 1.1× 37 1.9× 9 109
Florence Kaltovich United States 4 82 1.2× 30 0.5× 35 1.5× 33 1.4× 15 0.8× 4 133
M Thompson United Kingdom 3 46 0.6× 26 0.4× 19 0.8× 26 1.1× 8 0.4× 9 111
Justin Lucas United States 6 36 0.5× 100 1.7× 51 2.2× 19 0.8× 89 4.5× 14 198
Manuel Paez-Escamilla United States 7 50 0.7× 52 0.9× 48 2.1× 17 0.7× 27 1.4× 20 166
John Meekin United States 5 87 1.2× 139 2.3× 37 1.6× 14 0.6× 21 1.1× 7 178
A.G. Amiryan Russia 5 32 0.5× 63 1.1× 52 2.3× 17 0.7× 14 0.7× 32 158
Eloísa Riva Uruguay 7 38 0.5× 38 0.6× 64 2.8× 16 0.7× 4 0.2× 39 161
Rin Nakamura Australia 7 31 0.4× 95 1.6× 37 1.6× 13 0.6× 26 1.3× 10 139

Countries citing papers authored by Hyking Haley

Since Specialization
Citations

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

Fields of papers citing papers by Hyking Haley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyking Haley

This figure shows the co-authorship network connecting the top 25 collaborators of Hyking Haley. A scholar is included among the top collaborators of Hyking Haley 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 Hyking Haley. Hyking Haley 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.
Sullivan, Nicole R., Mathew Abraham, Hyking Haley, et al.. (2025). Evaluation of HPV-loaded PLGA microparticles as single-dose HPV vaccine: Insights for sustained-release vaccine development. Vaccine. 55. 127024–127024. 1 indexed citations
2.
Tomaszewski, Michal R., Xiangjun Meng, Hyking Haley, et al.. (2023). Magnetic resonance imaging detects white adipose tissue beiging in mice following PDE10A inhibitor treatment. Journal of Lipid Research. 64(8). 100408–100408. 4 indexed citations
3.
Rubins, Daniel, Xiangjun Meng, Paul McQuade, et al.. (2020). In Vivo Evaluation and Dosimetry Estimate for a High Affinity Affibody PET Tracer Targeting PD-L1. Molecular Imaging and Biology. 23(2). 241–249. 27 indexed citations
4.
Li, Wenping, Yuchuan Wang, Daniel Rubins, et al.. (2020). PET/CT Imaging of 89Zr-N-sucDf-Pembrolizumab in Healthy Cynomolgus Monkeys. Molecular Imaging and Biology. 23(2). 250–259. 19 indexed citations
5.
Bennacef, Idriss, Daniel Rubins, Kerry Riffel, et al.. (2020). Preclinical evaluation of [11C]L‐235 as a radioligand for Positron Emission Tomography cathepsin K imaging in bone. Journal of Labelled Compounds and Radiopharmaceuticals. 64(4). 159–167. 1 indexed citations
6.
Chen, Qingshou, Xiangjun Meng, Paul McQuade, et al.. (2017). Folate-PEG-NOTA-Al18F: A New Folate Based Radiotracer for PET Imaging of Folate Receptor-Positive Tumors. Molecular Pharmaceutics. 14(12). 4353–4361. 26 indexed citations
7.
McQuade, Paul, Daniel Rubins, Xiangjun Meng, et al.. (2016). Investigation into Use of Positron Emission Tomography (PET) as an In Vivo Imaging Tool to Quantify PD-L1 Tumor Expression Levels. 57. 529–529. 1 indexed citations
8.
Chen, Qingshou, Xiangjun Meng, Paul McQuade, et al.. (2016). Synthesis and Preclinical Evaluation of Folate-NOTA-Al18F for PET Imaging of Folate-Receptor-Positive Tumors. Molecular Pharmaceutics. 13(5). 1520–1527. 35 indexed citations
9.
Kotzer, Charles J., et al.. (2010). A Noninvasive [99mTc]DTPA SPECT/CT Imaging Methodology as a Measure of Lung Permeability in a Guinea Pig Model of COPD. Molecular Imaging and Biology. 13(5). 923–929. 12 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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