Victoria C. Pham

3.5k citations
35 papers · 1.9k indexed · 1 hit paper · h-index 20
Topics
Ubiquitin and proteasome pathways (6 papers)Cell death mechanisms and regulation (5 papers)Advanced Proteomics Techniques and Applications (5 papers)

In The Last Decade

Victoria C. Pham

34 papers receiving 1.9k citations

Hit Papers

Cullin3-Based Polyubiquitination and p62-Dependent Aggreg...20092026201420202009100200300400500

Peers

Victoria C. Pham
Comparison fields: 5 of 109
  • Molecular Biology 1.5k
  • Immunology 511
  • Oncology 388
  • Epidemiology 338
  • Cancer Research 279
Replace Francisco J. Sánchez‐Rivera with:
Francisco J. Sánchez‐Rivera United States
Heidi J.A. Wallweber United States
Bryan D. Lemon United States
David Banach United States
Tsuyoshi Ikura Japan
Vyacheslav Akimov Denmark
Samuel G. Katz United States
Angus J.M. Cameron United Kingdom
Andrei Turtoï France
Deborah H. Lundgren United States
Victoria C. Pham relative to Francisco J. Sánchez‐Rivera United States Francisco J. Sánchez‐Rivera's profile →
Citations per field
00.5×1.5×2.1×
Francisco J. Sánchez‐Rivera · 1×
Citations per year

Countries citing papers authored by Victoria C. Pham

Since Specialization
Citations

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

Fields of papers citing papers by Victoria C. Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria C. Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria C. Pham. A scholar is included among the top collaborators of Victoria C. Pham 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 C. Pham. Victoria C. Pham 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 1
2 10
3 3
4 10
5 37
6 16
7 40
8 54
9 16
10 307
11 12
12 88
13 129
14 122
15 38
16 27
17
Cullin3-Based Polyubiquitination and p62-Dependent Aggregation of Caspase-8 Mediate Extrinsic Apoptosis Signalingbreakdown →
502
18 12
19 22
20 13

About Victoria C. Pham

Victoria C. Pham is a scholar working on Molecular Biology, Spectroscopy and Cell Biology, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Cell death mechanisms and regulation (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). The work is most often cited by research in Immunology (511 citations), Molecular Biology (1.5k citations) and Cancer Research (279 citations). Victoria C. Pham has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Jennie R. Lill, Robert Pitti, Avi Ashkenazi, David A. Lawrence, Zhaoyu Jin, Vishva M. Dixit, Kim Newton, Merone Roose‐Girma, Debra L. Dugger and Søren Warming. Their work appears in journals such as Nature, Science and Cell.

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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