Ursa Brown‐Glaberman

1.2k total citations
38 papers, 382 citations indexed

About

Ursa Brown‐Glaberman is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Ursa Brown‐Glaberman has authored 38 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 13 papers in Pulmonary and Respiratory Medicine and 8 papers in Cancer Research. Recurrent topics in Ursa Brown‐Glaberman's work include Cancer Treatment and Pharmacology (15 papers), HER2/EGFR in Cancer Research (14 papers) and Advanced Breast Cancer Therapies (12 papers). Ursa Brown‐Glaberman is often cited by papers focused on Cancer Treatment and Pharmacology (15 papers), HER2/EGFR in Cancer Research (14 papers) and Advanced Breast Cancer Therapies (12 papers). Ursa Brown‐Glaberman collaborates with scholars based in United States, Spain and France. Ursa Brown‐Glaberman's co-authors include Melanie Royce, Alison Stopeck, Zoneddy Dayao, William J. Gradishar, Pavani Chalasani, Hope S. Rugo, Antonio C. Wolff, Jane B. Trepel, Clifford A. Hudis and Roisín M. Connolly and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Ursa Brown‐Glaberman

34 papers receiving 380 citations

Peers

Ursa Brown‐Glaberman
Comparison fields: 5 of 69
  • Oncology 213
  • Molecular Biology 153
  • Pulmonary and Respiratory Medicine 99
  • Cancer Research 92
  • Radiology, Nuclear Medicine and Imaging 52
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Citations per field, relative to Ursa Brown‐Glaberman
Ursa Brown‐Glaberman · 1×
Citations per year, relative to Ursa Brown‐Glaberman
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Countries citing papers authored by Ursa Brown‐Glaberman

Since Specialization
Citations

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

Fields of papers citing papers by Ursa Brown‐Glaberman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ursa Brown‐Glaberman. 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 Ursa Brown‐Glaberman. The network helps show where Ursa Brown‐Glaberman may publish in the future.

Co-authorship network of co-authors of Ursa Brown‐Glaberman

This figure shows the co-authorship network connecting the top 25 collaborators of Ursa Brown‐Glaberman. A scholar is included among the top collaborators of Ursa Brown‐Glaberman 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 Ursa Brown‐Glaberman. Ursa Brown‐Glaberman 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 2
2 0
3 3
4 7
5 3
6 9
7 11
8 76
9 5
10 5
11 10
12 2
13 5
14 16
15 11
16 26
17 0
18 16
19
HER2-targeted therapy for early-stage breast cancer: a comprehensive review.
20
20 33

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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