Shannon J. McCall
- Hepatology top 2%
- Epidemiology top 2%
- Biochemistry top 2%
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 10
- Pancreatic and Hepatic Oncology Research 9
- Colorectal Cancer Treatments and Studies 6
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- Cancer Genomics and Diagnostics 14
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- Renal cell carcinoma treatment 9
- Advanced Breast Cancer Therapies 5
- Metastasis and carcinoma case studies 5
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- Genetic factors in colorectal cancer 5
- Co-authors
- Anna Mae DiehlLiu YangJiawen HuangBrett P. MoniaYin-xiong LiXing YuKanji YamaguchiSanjay Bhanot
- Partner nations
- United StatesFranceJapan
In The Last Decade
Shannon J. McCall
87 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Hepatology 512
- Endocrinology, Diabetes and Metabolism 934
- Epidemiology 1.5k
- Biochemistry 203
- Oncology 667
Countries citing papers authored by Shannon J. McCall
This map shows the geographic impact of Shannon J. McCall'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 Shannon J. McCall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shannon J. McCall more than expected).
Fields of papers citing papers by Shannon J. McCall
This network shows the impact of papers produced by Shannon J. McCall. 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 Shannon J. McCall. The network helps show where Shannon J. McCall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shannon J. McCall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 0 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 6 | |
| 12 | 2020 | 13 | |
| 13 | 2020 | 25 | |
| 14 | 2020 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2018 | 20 | |
| 17 | 2017 | 62 | |
| 18 | 2017 | 20 | |
| 19 | 2011 | 87 | |
| 20 | Inhibiting triglyceride synthesis improves hepatic steatosis but exacerbates liver damage and fibrosis in obese mice with nonalcoholic steatohepatitisbreakdown → | 2007 | 805 |
About Shannon J. McCall
Shannon J. McCall is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 96 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), Cancer Immunotherapy and Biomarkers (10 papers), Renal cell carcinoma treatment (9 papers), Pancreatic and Hepatic Oncology Research (9 papers), Colorectal Cancer Treatments and Studies (6 papers), Advanced Breast Cancer Therapies (5 papers), Metastasis and carcinoma case studies (5 papers) and Genetic factors in colorectal cancer (5 papers). The work is most often cited by research in Hepatology (512 citations), Endocrinology, Diabetes and Metabolism (934 citations) and Epidemiology (1.5k citations). Shannon J. McCall has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Anna Mae Diehl, Liu Yang, Jiawen Huang, Brett P. Monia, Yin-xiong Li, Xing Yu, Kanji Yamaguchi, Sanjay Bhanot, Manal F. Abdelmalek and Sanjay Pandey. Their work appears in journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.
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.