Janine Graham

1.0k citations
5 papers · 662 indexed · 1 hit paper · h-index 4
Topics
Hepatocellular Carcinoma Treatment and Prognosis (2 papers)Liver Disease Diagnosis and Treatment (2 papers)Soft tissue tumor case studies (1 paper)

In The Last Decade

Janine Graham

5 papers receiving 647 citations

Hit Papers

Hepatocellular cancer: The impact of obesity, type 2 diab...20132026201720212013100200300400

Peers

Janine Graham
Comparison fields: 5 of 48
  • Epidemiology 525
  • Hepatology 433
  • Cancer Research 127
  • Endocrinology, Diabetes and Metabolism 110
  • Pathology and Forensic Medicine 76
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Jinna Chu United States
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J. Marrero United States
Ning‐Ping Zhang China
Benyam D. Addissie United States
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Ryuji FURUKAWA Japan
Roman Liebe Germany
Shiro Takami Japan
B. Mccolgan United States
Janine Graham relative to Jinna Chu United States Jinna Chu's profile →
Citations per field
00.5×10×20×26.5×
Jinna Chu · 1×
Citations per year

Countries citing papers authored by Janine Graham

Since Specialization
Citations

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

Fields of papers citing papers by Janine Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janine Graham

This figure shows the co-authorship network connecting the top 25 collaborators of Janine Graham. A scholar is included among the top collaborators of Janine Graham 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 Janine Graham. Janine Graham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 1
2
Hepatocellular cancer: The impact of obesity, type 2 diabetes and a multidisciplinary teambreakdown →
412
3 232
4 11
5 6

About Janine Graham

Janine Graham is a scholar working on Hepatology, Pathology and Forensic Medicine and Cancer Research, having authored 5 papers that have together received 662 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Soft tissue tumor case studies (1 paper). The work is most often cited by research in Hepatology (433 citations), Epidemiology (525 citations) and Cancer Research (127 citations). Janine Graham has collaborated with scholars based in United Kingdom, Australia and Canada. Frequent co-authors include Helen L. Reeves, Mark Hudson, Debasish Das, Imran Patanwala, Tariq Aslam, Stephen Stewart, Kate Sumpter, Derek Manas, John Rose and Jessica Dyson. Their work appears in journals such as Journal of Clinical Oncology, Journal of Hepatology and Cancer Epidemiology Biomarkers & Prevention.

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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