Shannon J. McCall

51.0k citations
96 papers · 3.3k indexed · 2 hit papers · h-index 23
Topics
Cancer Genomics and Diagnostics (14 papers)Cancer Immunotherapy and Biomarkers (10 papers)Renal cell carcinoma treatment (9 papers)
Partner nations
United StatesFranceJapan

In The Last Decade

Shannon J. McCall

87 papers receiving 3.2k citations

Hit Papers

Inhibiting triglyceride synthesis improves hepatic steato...200720262013201920072008250500750

Peers

Shannon J. McCall
Comparison fields: 5 of 134
  • Epidemiology 1.5k
  • Endocrinology, Diabetes and Metabolism 934
  • Molecular Biology 857
  • Oncology 667
  • Surgery 625
Replace Ann Driessen with:
Ann Driessen Belgium
Tadashi Namisaki Japan
Kohichiroh Yasui Japan
Yoshihiro Ikura Japan
Umberto Vespasiani‐Gentilucci Italy
Toshihiko Mizuta Japan
Kensuke Kubota Japan
Goh Eun Chung South Korea
Kosuke Kaji Japan
Antonio Picardi Italy
Shannon J. McCall relative to Ann Driessen Belgium Ann Driessen's profile →
Citations per field
00.5×1.5×2.1×
Ann Driessen · 1×
Citations per year

Countries citing papers authored by Shannon J. McCall

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Shannon J. McCall

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon J. McCall. A scholar is included among the top collaborators of Shannon J. McCall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shannon J. McCall. Shannon J. McCall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 1
4 1
5 1
6 22
7 5
8 0
9 13
10 11
11 6
12 13
13 25
14 14
15 14
16 20
17 62
18 20
19 87
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Inhibiting triglyceride synthesis improves hepatic steatosis but exacerbates liver damage and fibrosis in obese mice with nonalcoholic steatohepatitisbreakdown →
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) and Renal cell carcinoma treatment (9 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.

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