William Hoos

994 citations
20 papers · 549 · h-index 8

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • HER2/EGFR in Cancer Research
    • Colorectal Cancer Screening and Detection

Papers in

William Hoos

19 papers receiving 542 citations

Peers

William Hoos
Comparison fields: 5 of 54
  • Oncology 360
  • Health Informatics 14
  • Cancer Research 135
  • Radiology, Nuclear Medicine and Imaging 53
  • Surgery 99
Replace Brett Mahon with:
Brett Mahon United States
Katharina von Loga United Kingdom
Yasushi Iida Japan
Gerhard Schenkirsch Germany
Nicolas Sayegh United States
Heung Kyu Park South Korea
Jarred Tanksley United States
Mingwei Ma China
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William Hoos relative to Brett Mahon United States Brett Mahon's profile →
Citations per field
00.5×3.3×
Brett Mahon · 1×
Citations per year

Countries citing papers authored by William Hoos

Since Specialization
Citations

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

Fields of papers citing papers by William Hoos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2018244
2 201569
3 201653
4 201349
5 202138
6 201934
7 201825
8 202311
9 20195
10 20164
11 20204
12 20163
13 20222
14 20222
15 20172
16 20161
17 20171
18 20151
19 20141
20 20150

About William Hoos

William Hoos is a scholar working on Oncology, Cancer Research, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 549 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (8 papers), Cancer Genomics and Diagnostics (8 papers), Advanced Biosensing Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Health and Medical Research Impacts (2 papers), Biomedical and Engineering Education (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Oncology (360 citations), Health Informatics (14 citations), Cancer Research (135 citations), Radiology, Nuclear Medicine and Imaging (53 citations) and Surgery (99 citations). William Hoos has collaborated with scholars based in United States and Spain. Frequent co-authors include Suresh T. Chari, Harika Kandlakunta, Gloria M. Petersen, Sajan Jiv Singh Nagpal, Ayush Sharma, Ziding Feng, Lola Rahib, Lynn M. Matrisian, Julie Fleshman and Joan Carles Ferreres. Their work appears in journals such as Journal of Clinical Oncology, Pancreas, Molecular Oncology, Gastroenterology and Oncotarget.

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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