Jacqueline Snider

7.9k total citations · 2 hit papers
13 papers, 3.4k citations indexed

About

Jacqueline Snider is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Jacqueline Snider has authored 13 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Cancer Research and 5 papers in Molecular Biology. Recurrent topics in Jacqueline Snider's work include Breast Cancer Treatment Studies (6 papers), HER2/EGFR in Cancer Research (6 papers) and Estrogen and related hormone effects (3 papers). Jacqueline Snider is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), HER2/EGFR in Cancer Research (6 papers) and Estrogen and related hormone effects (3 papers). Jacqueline Snider collaborates with scholars based in United States, Canada and Austria. Jacqueline Snider's co-authors include Matthew J. Ellis, Joel S. Parker, Sherri R. Davies, Charles M. Perou, Samuel Leung, Torsten O. Nielsen, Philip S. Bernard, Maggie C.U. Cheang, David Voduc and Mark Watson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Jacqueline Snider

13 papers receiving 3.3k citations

Hit Papers

Ki67 Index, HER2 Status, and Prognosis of Patients With L... 2009 2026 2014 2020 2009 2010 500 1000 1.5k

Peers

Jacqueline Snider
Comparison fields: 5 of 105
  • Cancer Research 2.2k
  • Oncology 1.9k
  • Molecular Biology 1.1k
  • Pathology and Forensic Medicine 641
  • Pulmonary and Respiratory Medicine 610
Replace Jaime Mejia with:
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Citations per field, relative to Jacqueline Snider
Jacqueline Snider · 1×
Citations per year, relative to Jacqueline Snider
Jacqueline Snider · 1×

Countries citing papers authored by Jacqueline Snider

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Snider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Snider

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Snider. A scholar is included among the top collaborators of Jacqueline Snider 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 Jacqueline Snider. Jacqueline Snider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 3
2 51
3 11
4 337
5 2
6 365
7
A Comparison of PAM50 Intrinsic Subtyping with Immunohistochemistry and Clinical Prognostic Factors in Tamoxifen-Treated Estrogen Receptor–Positive Breast Cancer breakdown →
542
8 174
9 110
10
Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer breakdown →
1641
11 91
12 34
13 6

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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