Phillip J. Johnson

685 total citations
12 papers, 526 citations indexed

About

Phillip J. Johnson is a scholar working on Hepatology, Molecular Biology and Epidemiology. According to data from OpenAlex, Phillip J. Johnson has authored 12 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hepatology, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Phillip J. Johnson's work include Advanced Proteomics Techniques and Applications (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Liver physiology and pathology (2 papers). Phillip J. Johnson is often cited by papers focused on Advanced Proteomics Techniques and Applications (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Liver physiology and pathology (2 papers). Phillip J. Johnson collaborates with scholars based in United States, United Kingdom and Hong Kong. Phillip J. Johnson's co-authors include David Machin, Khin Maung Win, Chee‐Kiat Tan, Pierce K. H. Chow, Bee‐Choo Tai, Khee‐Chee Soo, Terence C. W. Poon, Benny Zee, Charles Ming Lok Chan and Frankie Mo and has published in prestigious journals such as Hepatology, Journal of Hepatology and Cancer and Metastasis Reviews.

In The Last Decade

Phillip J. Johnson

11 papers receiving 511 citations

Peers

Phillip J. Johnson
Guo Long China
Yuzhi Lu China
A Fujioka Japan
Christian Monnerat Switzerland
Gary Frenette United States
Phillip J. Johnson
Citations per year, relative to Phillip J. Johnson Phillip J. Johnson (= 1×) peers Ching-Chih Lee

Countries citing papers authored by Phillip J. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Phillip J. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip J. Johnson. 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 Phillip J. Johnson. The network helps show where Phillip J. Johnson may publish in the future.

Co-authorship network of co-authors of Phillip J. Johnson

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

All Works

12 of 12 papers shown
1.
Palmer, Daniel H. & Phillip J. Johnson. (2015). Evaluating the role of treatment-related toxicities in the challenges facing targeted therapies for advanced hepatocellular carcinoma. Cancer and Metastasis Reviews. 34(3). 497–509. 17 indexed citations
2.
Wang, Le, Erica A. Pawlak, Dominique Alfandari, et al.. (2010). Gene and Protein Expression of Polysulfated Proteoglycan ECM Components in the Equine Digital Lamellae. Journal of Equine Veterinary Science. 30(2). 98–99. 1 indexed citations
3.
Pawlak, Erica A., et al.. (2010). Localization and Function of Sulfated Proteoglycans in the Equine Digital Laminae. Journal of Equine Veterinary Science. 30(2). 99–99. 1 indexed citations
4.
Cairns, David A., Jennifer H. Barrett, Lucinda Billingham, et al.. (2008). Sample size determination in clinical proteomic profiling experiments using mass spectrometry for class comparison. PROTEOMICS. 9(1). 74–86. 48 indexed citations
5.
Ripin, David H. Brown, Thomas A. Brandt, Heather N. Frost, et al.. (2005). Evaluation of Kilogram-Scale Sonagashira, Suzuki, and Heck Coupling Routes to Oncology Candidate CP-724,714. Organic Process Research & Development. 9(4). 440–450. 52 indexed citations
7.
Johnson, Phillip J.. (2003). The Limits of Interracial Compromise: Louisiana, 1941. The Journal of Southern History. 69(2). 319–319.
8.
Zhong, Sheng, Winnie Yeo, Mandy Tang, et al.. (2003). Intensive hypermethylation of the CpG island of Ras association domain family 1A in hepatitis B virus-associated hepatocellular carcinomas.. PubMed. 9(9). 3376–82. 59 indexed citations
9.
Chow, Pierce K. H., Bee‐Choo Tai, Chee‐Kiat Tan, et al.. (2002). High-dose tamoxifen in the treatment of inoperable hepatocellular carcinoma: A multicenter randomized controlled trial. Hepatology. 36(5). 1221–1226. 161 indexed citations
10.
Sallie, Richard, et al.. (1994). Community prevalence of hepatitis C viraemia: A polymerase chain reaction study. Journal of Medical Virology. 43(2). 111–114. 11 indexed citations
11.
Pugh, Charles R., et al.. (1994). ULTRASONOGRAPHY OF THE EQUINE BICIPITAL TENDON REGION: A CASE HISTORY REPORT AND REVIEW OF ANATOMY. Veterinary Radiology & Ultrasound. 35(3). 183–188. 21 indexed citations
12.
Sallie, Richard, et al.. (1991). Prevalence of hepatitis “C” virus carriage in non-selected, otherwise healthy patients attending general practitioners in South London. Journal of Hepatology. 13. S167–S167. 1 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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