Grace C. Lo

577 citations
22 papers · 437 · h-index 10

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Neuroendocrine Tumor Research Advances

Papers in

Grace C. Lo

20 papers receiving 433 citations

Peers

Grace C. Lo
Comparison fields: 5 of 50
  • Hepatology 163
  • Epidemiology 255
  • Radiology, Nuclear Medicine and Imaging 169
  • Oncology 103
  • Biomedical Engineering 104
Replace Yu Yoshimasu with:
Yu Yoshimasu Japan
Delphine Gaye France
Jeongin Yoo South Korea
Pallavi Pandey United States
Yongping Lu China
Alex Faccinetto France
Barbara Schellhaas Germany
Lorenzo Mulazzani Italy
Yoshiyasu Kisaka Japan
Liping Yin China
Grace C. Lo relative to Yu Yoshimasu Japan Yu Yoshimasu's profile →
Citations per field
00.5×10×
Yu Yoshimasu · 1×
Citations per year

Countries citing papers authored by Grace C. Lo

Since Specialization
Citations

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

Fields of papers citing papers by Grace C. Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace C. Lo. 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 Grace C. Lo. The network helps show where Grace C. Lo may publish in the future.

Co-authors

The 25 scholars most cited alongside Grace C. Lo, 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 Grace C. Lo Line = papers co-authored together Grace C. Lo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017131
2 201857
3 201845
4 201739
5 201737
6 201730
7 201729
8 201715
9 201814
10 201513
11 20199
12 20235
13 20163
14 20233
15 20172
16 20251
17 20191
18 20231
19 20151
20 20251

About Grace C. Lo

Grace C. Lo is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Oncology, Epidemiology and Hepatology, having authored 22 papers that have together received 437 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Radiation Dose and Imaging (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Liver Disease and Transplantation (2 papers) and Pancreatitis Pathology and Treatment (2 papers). The work is most often cited by research in Hepatology (163 citations), Epidemiology (255 citations), Radiology, Nuclear Medicine and Imaging (169 citations), Oncology (103 citations) and Biomedical Engineering (104 citations). Grace C. Lo has collaborated with scholars based in United States, Qatar and Poland. Frequent co-authors include Dushyant V. Sahani, Manuel Patiño, Cecilia Besa, Mathilde Wagner, Avinash Kambadakone, Bachir Taouli, Rodrigo Canellas, James S. Babb, Idoia Corcuera‐Solano and Steven J. Esses. Their work appears in journals such as Abdominal Radiology, Journal of Clinical Medicine, Gastrointestinal Endoscopy Clinics of North America, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.

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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