Philip Wong

1.6k total citations
20 papers, 902 citations indexed

About

Philip Wong is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Philip Wong has authored 20 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Genetics. Recurrent topics in Philip Wong's work include Bioinformatics and Genomic Networks (8 papers), Protein Structure and Dynamics (7 papers) and Machine Learning in Bioinformatics (3 papers). Philip Wong is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Protein Structure and Dynamics (7 papers) and Machine Learning in Bioinformatics (3 papers). Philip Wong collaborates with scholars based in Germany, Canada and France. Philip Wong's co-authors include Ulrich Güldener, Walid A. Houry, Dmitrij Frishman, Philipp Pagel, Urs Lahrmann, Birgit Samans, Karl‐Heinz Kogel, Francis Martin, Dagmar Biedenkopf and Carolin Grimm and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Cell Biology.

In The Last Decade

Philip Wong

20 papers receiving 886 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Wong Germany 12 479 451 223 102 67 20 902
Ralph Steinkamp Germany 5 683 1.4× 432 1.0× 156 0.7× 90 0.9× 103 1.5× 6 1.1k
Barbara Kracher Germany 18 700 1.5× 1.8k 4.0× 312 1.4× 88 0.9× 92 1.4× 21 2.1k
Joël Bégueret France 21 984 2.1× 412 0.9× 198 0.9× 96 0.9× 38 0.6× 29 1.3k
Lidia Araújo‐Bazán Spain 16 798 1.7× 388 0.9× 339 1.5× 237 2.3× 40 0.6× 21 1.1k
Marguerite Picard France 20 1.2k 2.5× 695 1.5× 387 1.7× 224 2.2× 133 2.0× 28 1.6k
Daniel Veltri United States 15 699 1.5× 127 0.3× 100 0.4× 34 0.3× 11 0.2× 23 934
Xiaocheng Gu China 17 898 1.9× 639 1.4× 56 0.3× 28 0.3× 38 0.6× 30 1.2k
Adeline Simon France 21 872 1.8× 1.1k 2.3× 405 1.8× 256 2.5× 410 6.1× 31 1.6k
Stephan Wawra Germany 21 286 0.6× 923 2.0× 277 1.2× 33 0.3× 50 0.7× 27 1.2k
Abigail Lind United States 14 422 0.9× 361 0.8× 237 1.1× 292 2.9× 60 0.9× 18 854

Countries citing papers authored by Philip Wong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Gandier, Julie‐Anne, David N. Langelaan, Amy Won, et al.. (2017). Characterization of a Basidiomycota hydrophobin reveals the structural basis for a high-similarity Class I subdivision. Scientific Reports. 7(1). 45863–45863. 32 indexed citations
2.
Smialowski, Pawel & Philip Wong. (2016). Protein Crystallizability. Methods in molecular biology. 1415. 341–370. 4 indexed citations
3.
Sieber, Christian M. K., Wanseon Lee, Philip Wong, et al.. (2014). The Fusarium graminearum Genome Reveals More Secondary Metabolite Gene Clusters and Hints of Horizontal Gene Transfer. PLoS ONE. 9(10). e110311–e110311. 103 indexed citations
4.
Laurie, John D., Rob Linning, Philip Wong, & Guus Bakkeren. (2013). Do TE activity and counteracting genome defenses, RNAi and methylation, shape the sex lives of smut fungi?. Plant Signaling & Behavior. 8(4). e23853–e23853. 7 indexed citations
5.
Makhnevych, Taras, Philip Wong, Oxana Pogoutse, et al.. (2012). Hsp110 is required for spindle length control. The Journal of Cell Biology. 198(4). 623–636. 14 indexed citations
6.
Laurie, John D., Shawkat Ali, Rob Linning, et al.. (2012). Genome Comparison of Barley and Maize Smut Fungi Reveals Targeted Loss of RNA Silencing Components and Species-Specific Presence of Transposable Elements. The Plant Cell. 24(5). 1733–1745. 121 indexed citations
7.
Zuccaro, Alga, Urs Lahrmann, Ulrich Güldener, et al.. (2011). Endophytic Life Strategies Decoded by Genome and Transcriptome Analyses of the Mutualistic Root Symbiont Piriformospora indica. PLoS Pathogens. 7(10). e1002290–e1002290. 282 indexed citations
8.
Wong, Philip, et al.. (2009). Expression of heterologous genes in the Amsacta moorei entomopoxvirus. Journal of Virological Methods. 165(1). 1–8. 4 indexed citations
9.
Antonov, Alexey V., Sabine Dietmann, Philip Wong, & Hans‐Werner Mewes. (2009). TICL – a web tool for network‐based interpretation of compound lists inferred by high‐throughput metabolomics. FEBS Journal. 276(7). 2084–2094. 23 indexed citations
10.
Smialowski, Pawel, Philipp Pagel, Philip Wong, et al.. (2009). The Negatome database: a reference set of non-interacting protein pairs. Nucleic Acids Research. 38(suppl_1). D540–D544. 96 indexed citations
11.
Antonov, Alexey V., et al.. (2009). PLIPS, an Automatically Collected Database of Protein Lists Reported by Proteomics Studies. Journal of Proteome Research. 8(3). 1193–1197. 8 indexed citations
12.
Wong, Philip & Dmitrij Frishman. (2008). Designability and Disease. Methods in molecular biology. 484. 491–504. 1 indexed citations
13.
Wong, Philip, Sonja Althammer, Andrea Hildebrand, et al.. (2008). An evolutionary and structural characterization of mammalian protein complex organization. BMC Genomics. 9(1). 629–629. 15 indexed citations
14.
Wong, Philip & Dmitrij Frishman. (2006). Fold Designability, Distribution, and Disease. PLoS Computational Biology. 2(5). e40–e40. 10 indexed citations
15.
Thibault, Guillaume, Jovana Yudin, Philip Wong, et al.. (2006). Specificity in substrate and cofactor recognition by the N-terminal domain of the chaperone ClpX. Proceedings of the National Academy of Sciences. 103(47). 17724–17729. 27 indexed citations
16.
Wong, Philip, Andreas Fritz, & Dmitrij Frishman. (2005). Designability, aggregation propensity and duplication of disease-associated proteins. Protein Engineering Design and Selection. 18(10). 503–508. 14 indexed citations
17.
Pagel, Philipp, Philip Wong, & Dmitrij Frishman. (2004). A Domain Interaction Map Based on Phylogenetic Profiling. Journal of Molecular Biology. 344(5). 1331–1346. 65 indexed citations
18.
Wong, Philip & Walid A. Houry. (2003). Chaperone networks in bacteria: analysis of protein homeostasis in minimal cells. Journal of Structural Biology. 146(1-2). 79–89. 67 indexed citations
19.
Wong, Philip, Grigory Kolesov, Dmitrij Frishman, & Walid A. Houry. (2003). Phylogenetic Web Profiler. Bioinformatics. 19(6). 782–783. 1 indexed citations
20.
Hsia, J.C., Philip Wong, & David H. MacLennan. (1971). Salt-dependent conformational changes in the cell membrane of halobacterium salinarium. Biochemical and Biophysical Research Communications. 43(1). 88–93. 8 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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