Abigail Yu

482 total citations
31 papers, 338 citations indexed

About

Abigail Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Oncology. According to data from OpenAlex, Abigail Yu has authored 31 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Biomedical Engineering and 4 papers in Oncology. Recurrent topics in Abigail Yu's work include Medical Imaging Techniques and Applications (16 papers), Radiopharmaceutical Chemistry and Applications (7 papers) and Advanced X-ray and CT Imaging (7 papers). Abigail Yu is often cited by papers focused on Medical Imaging Techniques and Applications (16 papers), Radiopharmaceutical Chemistry and Applications (7 papers) and Advanced X-ray and CT Imaging (7 papers). Abigail Yu collaborates with scholars based in South Korea, United States and Vietnam. Abigail Yu's co-authors include Jin Su Kim, Insop Shim, Hyunsu Bae, Hwan‐Suck Chung, Minsook Ye, Ilhan Lim, Chanju Lee, Deok‐Sang Hwang, Sang Moo Lim and Arturo Molina and has published in prestigious journals such as Blood, Medical Physics and Neuropharmacology.

In The Last Decade

Abigail Yu

29 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abigail Yu South Korea 9 82 63 58 54 47 31 338
Jonathan L. Carter United States 7 19 0.2× 46 0.7× 73 1.3× 98 1.8× 18 0.4× 12 468
Chee Kin Then United Kingdom 10 75 0.9× 23 0.4× 47 0.8× 141 2.6× 114 2.4× 16 389
Xiaojin Liu China 8 49 0.6× 15 0.2× 41 0.7× 109 2.0× 73 1.6× 22 372
Xin Xiang China 12 13 0.2× 14 0.2× 35 0.6× 193 3.6× 50 1.1× 37 432
Vasily Belov United States 9 66 0.8× 6 0.1× 20 0.3× 71 1.3× 15 0.3× 26 407
Wenjing Li China 13 139 1.7× 24 0.4× 21 0.4× 131 2.4× 28 0.6× 40 362
Karissa Gable United States 11 38 0.5× 15 0.2× 46 0.8× 165 3.1× 13 0.3× 23 442
Thomas A. Fey United States 12 38 0.5× 27 0.4× 22 0.4× 197 3.6× 26 0.6× 24 422
Kosuke Nakashima Japan 12 45 0.5× 79 1.3× 40 0.7× 263 4.9× 11 0.2× 25 620
Benoît Hosten France 10 50 0.6× 12 0.2× 85 1.5× 79 1.5× 10 0.2× 25 267

Countries citing papers authored by Abigail Yu

Since Specialization
Citations

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

Fields of papers citing papers by Abigail Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abigail Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Abigail Yu. A scholar is included among the top collaborators of Abigail Yu 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 Abigail Yu. Abigail Yu 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.
Li, Xiaofan, Cristina L. Abrahams, Abigail Yu, et al.. (2023). Targeting CD74 in B-cell non-Hodgkin lymphoma with the antibody-drug conjugate STRO-001. Oncotarget. 14(1). 1–13. 5 indexed citations
3.
Kim, Eun Ho, Hae Young Ko, Abigail Yu, et al.. (2020). Inhibition of HIF-1α by Atorvastatin During 131I-RTX Therapy in Burkitt’s Lymphoma Model. Cancers. 12(5). 1203–1203. 6 indexed citations
4.
Kim, Hyeongi, Abigail Yu, Jae‐Joon Lee, et al.. (2019). Measurement of Tumor Pressure and Strategies of Imaging Tumor Pressure for Radioimmunotherapy. Nuclear Medicine and Molecular Imaging. 53(4). 235–241. 12 indexed citations
5.
Abrahams, Cristina L., Xiaofan Li, Millicent Embry, et al.. (2018). Targeting CD74 in multiple myeloma with the novel, site-specific antibody-drug conjugate STRO-001. Oncotarget. 9(102). 37700–37714. 45 indexed citations
7.
Embry, Millicent, Xiaofan Li, Abigail Yu, et al.. (2017). CD74 Is Expressed in Relapsed and Refractory Multiple Myeloma and Can be Targeted with a Novel Anti-CD74 Antibody Drug Conjugate, SΤRO-001. Blood. 130. 4420–4420. 1 indexed citations
8.
Ye, Minsook, Hwan‐Suck Chung, Chanju Lee, et al.. (2016). Neuroprotective effects of bee venom phospholipase A2 in the 3xTg AD mouse model of Alzheimer’s disease. Journal of Neuroinflammation. 13(1). 10–10. 65 indexed citations
9.
Yu, Abigail, Hee-Joung Kim, Sang Moo Lim, & Jin Su Kim. (2016). Comparison of Imaging Characteristics of124I PET for Determination of Optimal Energy Window on the Siemens Inveon PET. BioMed Research International. 2016. 1–8. 3 indexed citations
10.
Lim, Ilhan, et al.. (2016). PET Evidence of the Effect of Donepezil on Cognitive Performance in an Animal Model of Chemobrain. BioMed Research International. 2016. 1–7. 41 indexed citations
11.
Kim, Young Jun, Ilhan Lim, Abigail Yu, et al.. (2015). Comparative Study of Imaging Characteristics of I-125 Imaging Using the Siemens Inveon Scanner and Siemens Symbia TruePoint. Journal of Biomedical Science and Engineering. 8(10). 674–683.
12.
Ye, Minsook, Hwan‐Suck Chung, Su-Jin Lim, et al.. (2015). Standardized Herbal Formula PM012 Decreases Cognitive Impairment and Promotes Neurogenesis in the 3xTg AD Mouse Model of Alzheimer’s Disease. Molecular Neurobiology. 53(8). 5401–5412. 18 indexed citations
13.
Kim, Jin Su & Abigail Yu. (2015). Determination of single gamma photon fraction of124I PET. Journal of Instrumentation. 10(3). P03006–P03006. 3 indexed citations
14.
Park, Soon‐Jung, et al.. (2015). Evaluation of quantitative accuracy in CZT-based pre-clinical SPECT for various isotopes. Journal of Instrumentation. 10(5). T05004–T05004. 1 indexed citations
15.
Yu, Abigail, et al.. (2015). Optimal energy window selection of a CZT-based small-animal SPECT for quantitative accuracy. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 782. 104–111. 4 indexed citations
16.
Yu, Abigail. (2014). Complementary and alternative treatments for primary dysmenorrhea in adolescents. The Nurse Practitioner. 39(11). 1–12. 40 indexed citations
17.
Yu, Abigail, Jin Su Kim, Kyeong Min Kim, & Hee Joung Kim. (2013). Comparison of Normalization Methods for ${^{124}}{\rm I}$ PET on Siemens Inveon PET Scanner. IEEE Transactions on Nuclear Science. 60(2). 817–819. 3 indexed citations
18.
Park, Hyun-Jung, Hyun Soo Shim, Kyung Soo Kim, et al.. (2012). Enhanced learning and memory of normal young rats by repeated oral administration of Krill Phosphatidylserine. Nutritional Neuroscience. 16(2). 47–53. 21 indexed citations
19.
Kim, Jin Su, Abigail Yu, Kyeong Min Kim, et al.. (2012). Validation of a postinjection transmission method for actual rat brain PET. Medical Physics. 39(9). 5614–5620. 4 indexed citations
20.
Yu, Abigail, Jin Su Kim, Kyeong Min Kim, et al.. (2009). Optimal PET acquisition setting of 1-124 with Siemens Inveon PET: Comparative simulation study with F-l 8 and microPET R4. 2666–2668. 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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