Philip Wong
- Molecular Biology
- Plant Science top 5%
- Cell Biology top 5%
- Pharmacology top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Ulrich GüldenerWalid A. HouryDmitrij FrishmanPhilipp PagelAlga ZuccaroBirgit SamansGregor LangenClaude Murat
- Topics
- Bioinformatics and Genomic Networks (8 papers)Protein Structure and Dynamics (7 papers)Machine Learning in Bioinformatics (3 papers)
In The Last Decade
Philip Wong
20 papers receiving 886 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 479
- Plant Science 451
- Cell Biology 223
- Pharmacology 102
- Ecology, Evolution, Behavior and Systematics 67
Countries citing papers authored by Philip Wong
This map shows the geographic impact of Philip Wong'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 Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Wong more than expected).
Fields of papers citing papers by Philip Wong
This network shows the impact of papers produced by Philip Wong. 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 Wong. The network helps show where Philip Wong may publish in the future.
Co-authorship network of co-authors of Philip Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Philip Wong. A scholar is included among the top collaborators of Philip Wong 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 Wong. Philip Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 4 | |
| 3 | 103 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 121 | |
| 7 | 282 | |
| 8 | 4 | |
| 9 | 23 | |
| 10 | 96 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 10 | |
| 15 | 27 | |
| 16 | 14 | |
| 17 | 65 | |
| 18 | 67 | |
| 19 | 1 | |
| 20 | 8 |
About Philip Wong
Philip Wong is a scholar working on Aging, Endocrinology and Molecular Biology, having authored 20 papers that have together received 902 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Protein Structure and Dynamics (7 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Cell Biology (223 citations), Plant Science (451 citations) and Molecular Biology (479 citations). Philip Wong has collaborated with scholars based in Germany, Canada and Austria. Frequent co-authors include Ulrich Güldener, Walid A. Houry, Dmitrij Frishman, Philipp Pagel, Alga Zuccaro, Birgit Samans, Gregor Langen, Claude Murat, Urs Lahrmann and Carolin Grimm. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Cell Biology.
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.