Katherine To’o

684 citations
12 papers · 492 · h-index 10

Impact in

Papers in

Katherine To’o

12 papers receiving 483 citations

Peers

Katherine To’o
Comparison fields: 5 of 49
  • Hepatology 90
  • Pulmonary and Respiratory Medicine 287
  • Health Informatics 10
  • Radiology, Nuclear Medicine and Imaging 167
  • Rheumatology 68
Replace Khoschy Schawkat with:
Khoschy Schawkat Switzerland
Benjamin Spilseth United States
Rajesh P. Shah United States
Nicolò Gennaro Italy
Stanley T. Leung United States
Enming Cui China
Julie Y. An United States
Rodrigo Canellas United States
Yayuan Geng China
Hiroki Koda Japan
Katherine To’o relative to Khoschy Schawkat Switzerland Khoschy Schawkat's profile →
Citations per field
00.5×10×14×
Khoschy Schawkat · 1×
Citations per year

Countries citing papers authored by Katherine To’o

Since Specialization
Citations

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

Fields of papers citing papers by Katherine To’o

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine To’o. 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 Katherine To’o. The network helps show where Katherine To’o may publish in the future.

Co-authors

The 25 scholars most cited alongside Katherine To’o, 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 Katherine To’o Line = papers co-authored together Katherine To’o links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2017191
2 200684
3 200552
4 202141
5 202126
6 201924
7 201224
8 201315
9 202115
10 202114
11 20215
12 20231

About Katherine To’o

Katherine To’o is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Computer Vision and Pattern Recognition and Epidemiology, having authored 12 papers that have together received 492 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Prostate Cancer Treatment and Research (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Advanced Neural Network Applications (2 papers), Liver Disease and Transplantation (2 papers), Radiation Dose and Imaging (1 paper) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Hepatology (90 citations), Pulmonary and Respiratory Medicine (287 citations), Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (167 citations) and Rheumatology (68 citations). Katherine To’o has collaborated with scholars based in United States, Denmark and South Korea. Frequent co-authors include Richard E. Fan, Geoffrey A. Sonn, Pejman Ghanouni, James D. Brooks, Nam Chol Yu, David Lu, Steven S. Raman, John T. Leppert, Nancy Wang and Alan Thong. Their work appears in journals such as The Journal of Urology, Urologic Oncology Seminars and Original Investigations, Medical Physics, Journal of Endourology and American Journal of Roentgenology.

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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