Phillip J. Johnson

685 citations
12 papers · 526 indexed · h-index 8
Topics
Advanced Proteomics Techniques and Applications (2 papers)Hepatocellular Carcinoma Treatment and Prognosis (2 papers)Liver physiology and pathology (2 papers)

In The Last Decade

Phillip J. Johnson

11 papers receiving 511 citations

Peers

Phillip J. Johnson
Comparison fields: 5 of 78
  • Molecular Biology 177
  • Hepatology 140
  • Oncology 118
  • Otorhinolaryngology 94
  • Epidemiology 92
Replace Ching-Chih Lee with:
Ching-Chih Lee Taiwan
C. Papadimitriou Greece
Kenji Mitsugi Japan
Yuji Shimamoto Japan
Guo Long China
Yuzhi Lu China
Christian Monnerat Switzerland
A Fujioka Japan
Hirofumi Satake Japan
Daniel Gandía France
Phillip J. Johnson relative to Ching-Chih Lee Taiwan Ching-Chih Lee's profile →
Citations per field
00.5×2.8×
Ching-Chih Lee · 1×
Citations per year

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
#WorkIndexed citations
1 17
2 1
3 1
4 48
5 52
6 154
7 0
8
Intensive hypermethylation of the CpG island of Ras association domain family 1A in hepatitis B virus-associated hepatocellular carcinomas.
59
9 161
10 11
11 21
12 1

About Phillip J. Johnson

Phillip J. Johnson is a scholar working on Equine, Hepatology and Otorhinolaryngology, having authored 12 papers that have together received 526 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Otorhinolaryngology (94 citations), Hepatology (140 citations) and Equine (19 citations). Phillip J. Johnson has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent 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. Their work appears in journals such as Hepatology, Journal of Hepatology and Cancer and Metastasis Reviews.

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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