Sean Ferree

6.1k citations
51 papers · 2.2k · h-index 17

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis

Papers in

Sean Ferree

50 papers receiving 2.2k citations

Peers

Sean Ferree
Comparison fields: 5 of 79
  • Cancer Research 1.5k
  • Oncology 796
  • Pulmonary and Respiratory Medicine 366
  • Genetics 286
  • Pathology and Forensic Medicine 168
Replace Catherine A. Schnabel with:
Catherine A. Schnabel United States
Thomas G. Paulson United States
Mary E. Edgerton United States
Bahriye Aktas Germany
Frances Daley United Kingdom
Henning Stehr United States
Ashutosh Nerurkar United Kingdom
Jan C. Brase Germany
Peggy Manders Netherlands
David Harpole United States
Sean Ferree relative to Catherine A. Schnabel United States Catherine A. Schnabel's profile →
Citations per field
00.5×1.5×2.5×
Catherine A. Schnabel · 1×
Citations per year

Countries citing papers authored by Sean Ferree

Since Specialization
Citations

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

Fields of papers citing papers by Sean Ferree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sean Ferree, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sean Ferree Line = papers co-authored together Sean Ferree links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013437
2 2015350
3 2014214
4 2018209
5 2013173
6 2014160
7 2018106
8 201578
9 202066
10 201566
11 200349
12 201845
13 201627
14 201920
15 202119
16 202019
17 202017
18 201616
19 201315
20 200413

About Sean Ferree

Sean Ferree is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Genetics and Pathology and Forensic Medicine, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (31 papers), Advanced Breast Cancer Therapies (13 papers), Estrogen and related hormone effects (9 papers), HER2/EGFR in Cancer Research (7 papers), Cancer Genomics and Diagnostics (5 papers), Cancer Treatment and Pharmacology (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Cancer Research (1.5k citations), Oncology (796 citations), Pulmonary and Respiratory Medicine (366 citations), Genetics (286 citations) and Pathology and Forensic Medicine (168 citations). Sean Ferree has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Ivana Šestak, Carl Schaper, Mitch Dowsett, Jack Cuzick, J. Wayne Cowens, Elena López‐Knowles, James J. Storhoff, Torsten O. Nielsen, Anita K. Dunbier and Naeem Dowidar. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Annals of Oncology, Blood and Biophysical Journal.

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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