Philip Ng

4.9k total citations
94 papers, 3.8k citations indexed

About

Philip Ng is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Philip Ng has authored 94 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Genetics, 72 papers in Molecular Biology and 19 papers in Oncology. Recurrent topics in Philip Ng's work include Virus-based gene therapy research (74 papers), RNA Interference and Gene Delivery (35 papers) and Viral Infectious Diseases and Gene Expression in Insects (29 papers). Philip Ng is often cited by papers focused on Virus-based gene therapy research (74 papers), RNA Interference and Gene Delivery (35 papers) and Viral Infectious Diseases and Gene Expression in Insects (29 papers). Philip Ng collaborates with scholars based in United States, Canada and Italy. Philip Ng's co-authors include Donna Palmer, Nicola Brunetti‐Pierri, Arthur L. Beaudet, Frank L. Graham, Milton J. Finegold, Michael A. Barry, Hoyin Mok, Francesco Vetrini, K. Dee Carey and Viraj Mane and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Philip Ng

94 papers receiving 3.7k citations

Peers

Philip Ng
Comparison fields: 5 of 98
  • Molecular Biology 2.6k
  • Genetics 2.5k
  • Oncology 750
  • Infectious Diseases 542
  • Epidemiology 394
Replace Minh Nguyen with:
Minh Nguyen United States
Suzanne M. K. Buckley United Kingdom
Krishna J. Fisher United States
Jiing‐Kuan Yee United States
Harald Petry Germany
Eugenio Montini Italy
Sandra Afione United States
Fuminori Sakurai Japan
Ya‐Wen Chiang United States
Dong Sung An United States
Minh Nguyen United States View profile →
Citations per field, relative to Philip Ng
Philip Ng · 1×
Citations per year, relative to Philip Ng
Philip Ng · 1×

Countries citing papers authored by Philip Ng

Since Specialization
Citations

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

Fields of papers citing papers by Philip Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Ng. A scholar is included among the top collaborators of Philip Ng 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 Philip Ng. Philip Ng 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
# Work Indexed citations
1 74
2 17
3 50
4 6
5 84
6 63
7 18
8 21
9 33
10 14
11 15
12 28
13 7
14 11
15 17
16 70
17 106
18 93
19 54
20 18

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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