Grace C. Lo

593 citations
22 papers · 449 · h-index 11

Impact in

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

Papers in

Grace C. Lo

21 papers receiving 445 citations

Peers

Grace C. Lo
Comparison fields: 5 of 43
  • Hepatology 98
  • Epidemiology 201
  • Radiology, Nuclear Medicine and Imaging 97
  • Oncology 69
  • Biomedical Engineering 89
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Travis Browning United States
Fankun Meng China
Yongping Lu China
Yoshitaka Kasai Japan
Delphine Gaye France
Alex Faccinetto Italy
Yu Yoshimasu Japan
Adele Taibbi Italy
Jeongin Yoo South Korea
Zhihui Fan China
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Citations per field
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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 2017133
2 201857
3 201848
4 201739
5 201737
6 201730
7 201729
8 201817
9 201716
10 201513
11 201910
12 20235
13 20234
14 20163
15 20172
16 20251
17 20241
18 20251
19 20231
20 20151

About Grace C. Lo

Grace C. Lo is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Oncology, Epidemiology and Hepatology, having authored 22 papers that have together received 449 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Advanced X-ray and CT Imaging (2 papers), MRI in cancer diagnosis (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Pancreatitis Pathology and Treatment (2 papers). The work is most often cited by research in Hepatology (98 citations), Epidemiology (201 citations), Radiology, Nuclear Medicine and Imaging (97 citations), Oncology (69 citations) and Biomedical Engineering (89 citations). Grace C. Lo has collaborated with scholars based in United States, India and Chile. Frequent co-authors include Dushyant V. Sahani, Manuel Patiño, Avinash Kambadakone, Bachir Taouli, Cecilia Besa, Mathilde Wagner, Rodrigo Canellas, James S. Babb, Anushri Parakh and Richard L. Ehman. Their work appears in journals such as Abdominal Radiology, American Journal of Roentgenology, Journal of Magnetic Resonance Imaging, Journal of Clinical Medicine and Gastrointestinal Endoscopy Clinics of North America.

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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