Grace C. Lo

614 citations
22 papers · 476 · h-index 11

Impact in

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

Papers in

Grace C. Lo

20 papers receiving 470 citations

Peers

Grace C. Lo
Comparison fields: 5 of 45
  • Hepatology 103
  • Epidemiology 213
  • Radiology, Nuclear Medicine and Imaging 100
  • Oncology 75
  • Biomedical Engineering 90
Replace Liping Yin with:
Liping Yin China
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Fankun Meng China
Maria Vittoria Raciti Italy
Yu Yoshimasu Japan
Jeongin Yoo South Korea
Larisa Săndulescu Romania
Barbara Schellhaas Germany
Abhinav Vij United States
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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 2017139
2 201863
3 201848
4 201739
5 201737
6 201731
7 201730
8 201820
9 201718
10 201516
11 201911
12 20236
13 20235
14 20253
15 20163
16 20172
17 20241
18 20231
19 20151
20 20191

About Grace C. Lo

Grace C. Lo is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Oncology, Epidemiology and Surgery, having authored 22 papers that have together received 476 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Pancreatitis Pathology and Treatment (2 papers), Liver Disease Diagnosis and Treatment (2 papers), MRI in cancer diagnosis (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Hepatology (103 citations), Epidemiology (213 citations), Radiology, Nuclear Medicine and Imaging (100 citations), Oncology (75 citations) and Biomedical Engineering (90 citations). Grace C. Lo has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Dushyant V. Sahani, Manuel Patiño, Avinash R. Kambadakone, Mathilde Wagner, Bachir Taouli, Cecilia Besa, Rodrigo Canellas, James S. Babb, Steven J. Esses and Idoia Corcuera‐Solano. 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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