Victoria Wong

8.3k citations
53 papers · 1.2k indexed · h-index 20
Topics
Neurobiology and Insect Physiology Research (6 papers)Receptor Mechanisms and Signaling (6 papers)Fungal and yeast genetics research (6 papers)

In The Last Decade

Victoria Wong

48 papers receiving 1.2k citations

Peers

Victoria Wong
Comparison fields: 5 of 130
  • Molecular Biology 754
  • Cellular and Molecular Neuroscience 172
  • Cell Biology 148
  • Genetics 97
  • Oncology 92
Replace Galit Shohat-Ophir with:
Galit Shohat-Ophir Israel
Antrix Jain United States
Dorota Skowronska‐Krawczyk United States
Cyril Boyault France
Fiona J. McDonald New Zealand
Wayne Grant United States
Fintan R. Steele United States
Mark A. Rainey United States
Brian J. Hillier United States
Mary E. Winn United States
Victoria Wong relative to Galit Shohat-Ophir Israel Galit Shohat-Ophir's profile →
Citations per field
00.5×1.5×
Galit Shohat-Ophir · 1×
Citations per year

Countries citing papers authored by Victoria Wong

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Wong. A scholar is included among the top collaborators of Victoria 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 Victoria Wong. Victoria 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
#WorkIndexed citations
1 0
2 2
3 1
4 29
5 14
6 19
7
Variation in Graphing Practices between Mathematics and Science: Implications for Science Teaching.
2
8 90
9 35
10 38
11 12
12 59
13 16
14 104
15 49
16 68
17 2
18 18
19 6
20 23

About Victoria Wong

Victoria Wong is a scholar working on Human Factors and Ergonomics, Aging and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (6 papers), Receptor Mechanisms and Signaling (6 papers) and Fungal and yeast genetics research (6 papers). The work is most often cited by research in Aging (54 citations), Molecular Biology (754 citations) and Cellular and Molecular Neuroscience (172 citations). Victoria Wong has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Igor Štagljar, Jamie Snider, Saranya Kittanakom, Anna Lyakisheva, Punit Saraon, Justin Dillon, Matthew T. Weirauch, Joshua M. Stuart, Alexandra B. Byrne and Martina Koeva. Their work appears in journals such as Nature Communications, Molecular Cell and PLoS ONE.

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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