Victor Sai

807 citations
18 papers · 617 · h-index 10

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • MRI in cancer diagnosis
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced MRI Techniques and Applications
    • Medical Imaging Techniques and Applications

Papers in

Victor Sai

14 papers receiving 606 citations

Peers

Victor Sai
Comparison fields: 5 of 69
  • Genetics 254
  • Radiology, Nuclear Medicine and Imaging 374
  • Biophysics 33
  • Cancer Research 82
  • Spectroscopy 77
Replace Chenyang Wang with:
Chenyang Wang United States
Yang Xiao-li China
R.-I. Ernestus Germany
Efstathios D. Gotsis Greece
P. K. Julka India
G. K. Rath India
Hsiang‐Hung Shih Taiwan
Patrick Weybright United States
A S K Dzik-Jurasz United Kingdom
Karen B. Bleich United States
Victor Sai relative to Chenyang Wang United States Chenyang Wang's profile →
Citations per field
00.5×2.7×
Chenyang Wang · 1×
Citations per year

Countries citing papers authored by Victor Sai

Since Specialization
Citations

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

Fields of papers citing papers by Victor Sai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victor Sai. 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 Victor Sai. The network helps show where Victor Sai may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2009272
2 200888
3 201273
4 201458
5 201344
6 202120
7 201215
8 201714
9 201910
10 201910
11 20226
12 20223
13 20232
14 20222
15 20250
16 20200
17 20220
18 20240

About Victor Sai

Victor Sai is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Oncology and Spectroscopy, having authored 18 papers that have together received 617 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced NMR Techniques and Applications (3 papers), Medical Imaging Techniques and Applications (3 papers), Renal cell carcinoma treatment (2 papers), Biochemical effects in animals (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Electron Spin Resonance Studies (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Genetics (254 citations), Radiology, Nuclear Medicine and Imaging (374 citations), Biophysics (33 citations), Cancer Research (82 citations) and Spectroscopy (77 citations). Victor Sai has collaborated with scholars based in United States, Thailand and Germany. Frequent co-authors include Whitney B. Pope, Jonathan Goldin, Grace Hyun J. Kim, Timothy F. Cloughesy, Matthew S. Brown, Jing Huo, Syed Rahmanuddin, David Gjertson, Phioanh L. Nghiemphu and Jonathan R. Young. Their work appears in journals such as Radiology, Scientific Reports, Cancer Imaging, Diabetes and Academic Radiology.

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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