Abigail Yu

506 citations
34 papers · 360 · h-index 10

Impact in

Papers in

    • Medical Imaging Techniques and Applications 17
    • Radiopharmaceutical Chemistry and Applications 6
    • Monoclonal and Polyclonal Antibodies Research 5
    • Radiomics and Machine Learning in Medical Imaging 5
    • Advanced MRI Techniques and Applications 3
    • Advanced X-ray and CT Imaging 8

Abigail Yu

31 papers receiving 340 citations

Peers

Abigail Yu
Comparison fields: 5 of 76
  • Biological Psychiatry 12
  • Radiology, Nuclear Medicine and Imaging 81
  • Pharmacology 59
  • Neurology 23
  • Genetics 28
Replace Benoît Hosten with:
Benoît Hosten France
S. A. Grando United States
Francesco Parmeggiani Italy
Xiaojin Liu China
Kosuke Nakashima Japan
Yumiko Nitta Japan
Mary P. Coffey United States
M.D. Anliker Switzerland
Chee Kin Then United Kingdom
Abigail Yu relative to Benoît Hosten France Benoît Hosten's profile →
Citations per field
00.5×10×15×19×
Benoît Hosten · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Abigail Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Abigail Yu Line = papers co-authored together Abigail Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201670
2 201847
3 201643
4 201440
5 201822
6 201222
7 201518
8 201913
9 202511
10 20159
11 20236
12 20206
13 20096
14 20136
15 20235
16 20164
17 20124
18 20254
19 20154
20 20153

About Abigail Yu

Abigail Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Oncology and Pathology and Forensic Medicine, having authored 34 papers that have together received 360 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (17 papers), Advanced X-ray and CT Imaging (8 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced Radiotherapy Techniques (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Advanced MRI Techniques and Applications (3 papers). The work is most often cited by research in Biological Psychiatry (12 citations), Radiology, Nuclear Medicine and Imaging (81 citations), Pharmacology (59 citations), Neurology (23 citations) and Genetics (28 citations). Abigail Yu has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Jin Su Kim, Insop Shim, Ilhan Lim, Minsook Ye, Hyunsu Bae, Hwan‐Suck Chung, Sang Moo Lim, Deok‐Sang Hwang, Chanju Lee and Xiaofan Li. Their work appears in journals such as Journal of Instrumentation, IEEE Transactions on Nuclear Science, Blood, Oncotarget and BioMed Research International.

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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