Victoria Allgood

1.2k total citations
22 papers, 925 citations indexed

About

Victoria Allgood is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Victoria Allgood has authored 22 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Genetics. Recurrent topics in Victoria Allgood's work include Estrogen and related hormone effects (6 papers), Hormonal Regulation and Hypertension (4 papers) and CAR-T cell therapy research (3 papers). Victoria Allgood is often cited by papers focused on Estrogen and related hormone effects (6 papers), Hormonal Regulation and Hypertension (4 papers) and CAR-T cell therapy research (3 papers). Victoria Allgood collaborates with scholars based in United States, Canada and United Kingdom. Victoria Allgood's co-authors include John A. Cidlowski, Nancy L. Weigel, Frances E. Powell-Oliver, Yixian Zhang, Robert H. Oakley, Wenlong Bai, Douglas Β. Tully, Devalingam Mahalingam, Corinne M. Silva and Christine M. Jewell and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Biochemistry.

In The Last Decade

Victoria Allgood

22 papers receiving 893 citations

Peers

Victoria Allgood
Comparison fields: 5 of 92
  • Molecular Biology 450
  • Genetics 247
  • Oncology 176
  • Endocrinology, Diabetes and Metabolism 137
  • Cancer Research 107
Replace Iain Uings with:
Iain Uings United Kingdom
James R. Lambert United States
C R Scriver Canada
L Chao United States
Anne John United Arab Emirates
Yoshiko Tani Japan
Eileen L. Considine United States
Hong Qi United States
Yanling Yang China
Iain Uings United Kingdom View profile →
Citations per field, relative to Victoria Allgood
Victoria Allgood · 1×
Citations per year, relative to Victoria Allgood
Victoria Allgood · 1×

Countries citing papers authored by Victoria Allgood

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Allgood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Allgood

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Allgood. A scholar is included among the top collaborators of Victoria Allgood 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 Allgood. Victoria Allgood 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 9
2 4
3 72
4 3
5 123
6 6
7 3
8 12
9
A phase I/IIA trial of continuous five-day infusion of squalamine lactate (MSI-1256F) plus carboplatin and paclitaxel in patients with advanced non-small cell lung cancer.
41
10 84
11 25
12 12
13 48
14 53
15 103
16 59
17 66
18 7
19 16
20 45

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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