Janine Graham

1.0k total citations · 1 hit paper
5 papers, 662 citations indexed

About

Janine Graham is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Janine Graham has authored 5 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Epidemiology. Recurrent topics in Janine Graham's work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Soft tissue tumor case studies (1 paper). Janine Graham is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Soft tissue tumor case studies (1 paper). Janine Graham collaborates with scholars based in United Kingdom, Australia and Canada. Janine Graham's 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 and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Hepatology and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Janine Graham

5 papers receiving 647 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hepatocellular cancer: The impact of obesity, type 2 diabetes and a multidisciplinary team

2013 412 citations Jessica Dyson, Rajiv Lochan et al. Journal of Hepatology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Janine Graham United Kingdom	4	525	433	127	110	76	5	662
Jinna Chu United States	5	526 1.0×	366 0.8×	76 0.6×	135 1.2×	78 1.0×	6	646
Sarah Temple United States	6	761 1.4×	652 1.5×	113 0.9×	144 1.3×	88 1.2×	16	953
J. Marrero United States	4	466 0.9×	311 0.7×	52 0.4×	137 1.2×	101 1.3×	5	548
Benyam D. Addissie United States	8	269 0.5×	236 0.5×	114 0.9×	60 0.5×	42 0.6×	13	472
Ning‐Ping Zhang China	13	495 0.9×	337 0.8×	87 0.7×	45 0.4×	26 0.3×	28	768
Ariel Feldstein United States	2	886 1.7×	538 1.2×	96 0.8×	305 2.8×	193 2.5×	6	989
Ryuji FURUKAWA Japan	11	357 0.7×	313 0.7×	50 0.4×	109 1.0×	37 0.5×	31	535
Dávid Tornai Hungary	14	364 0.7×	233 0.5×	56 0.4×	65 0.6×	170 2.2×	32	607
Roman Liebe Germany	11	260 0.5×	192 0.4×	39 0.3×	72 0.7×	34 0.4×	36	468
Marco Sanduzzi‐Zamparelli Spain	10	233 0.4×	268 0.6×	61 0.5×	29 0.3×	42 0.6×	30	424

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

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5 of 5 papers shown

1.

Rae, S., E. Ruth Plummer, Linda Hogarth, et al.. (2023). Prevalence of mutations in common tumour types in Northern England and comparable utility of national and international Trial Finders. Journal of Cancer Research and Clinical Oncology. 149(18). 16355–16363. 1 indexed citations

2.

Dyson, Jessica, Rajiv Lochan, Janine Graham, et al.. (2013). Hepatocellular cancer: The impact of obesity, type 2 diabetes and a multidisciplinary team. Journal of Hepatology. 60(1). 110–117. 412 indexed citations breakdown →

3.

Johnson, Philip J., Sarah Pirrie, Trevor F. Cox, et al.. (2013). The Detection of Hepatocellular Carcinoma Using a Prospectively Developed and Validated Model Based on Serological Biomarkers. Cancer Epidemiology Biomarkers & Prevention. 23(1). 144–153. 232 indexed citations

4.

Razak, Abdul, et al.. (2007). Desmoplastic Small Round-Cell Tumor of the Pancreas. Journal of Clinical Oncology. 25(11). 1440–1442. 11 indexed citations

5.

Graham, Janine, et al.. (2002). A Mass in the Liver. Journal of Infection. 45(2). 121–122. 6 indexed citations

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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