Katherine Sunderland

1.1k citations
23 papers · 761 indexed · 1 hit paper · h-index 10

Katherine Sunderland

23 papers receiving 756 citations

Hit Papers

Circulating Tumor DNA Genomics Correlate with Resistance ...3472018202620202023100200300

Peers

Katherine Sunderland
Comparison fields: 5 of 40
  • Cancer Research 331
  • Pulmonary and Respiratory Medicine 694
  • Oncology 230
  • Radiology, Nuclear Medicine and Imaging 190
  • Endocrinology, Diabetes and Metabolism 75
Replace Joanna Vergidis with:
Joanna Vergidis Canada
Krista Noonan Canada
Daniel Khalaf Canada
Giri Sulur United States
Anis Hamid United States
S. Polyakov Belarus
Evan W. Warner Canada
Davide Bimbatti Italy
Ines Figueiredo United Kingdom
Carolyn Evan United States
Katherine Sunderland relative to Joanna Vergidis Canada Joanna Vergidis's profile →
Citations per field
00.5×1.5×
Joanna Vergidis · 1×
Citations per year

Countries citing papers authored by Katherine Sunderland

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Sunderland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Katherine Sunderland, 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 Katherine Sunderland Line = papers co-authored together Katherine Sunderland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20222
4 20223
5 202111
6 20211
7 20202
8 20199
9 2019213
10 20191
11
Circulating Tumor DNA Genomics Correlate with Resistance to Abiraterone and Enzalutamide in Prostate Cancerbreakdown →
2018347
12 201858
13 20184
14 20183
15 201717
16 201710
17 201731
18 20179
19 201710
20 20169

About Katherine Sunderland

Katherine Sunderland is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 23 papers that have together received 761 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (19 papers), Radiopharmaceutical Chemistry and Applications (10 papers), Peptidase Inhibition and Analysis (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Brain Metastases and Treatment (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer-related cognitive impairment studies (2 papers). The work is most often cited by research in Cancer Research (331 citations), Pulmonary and Respiratory Medicine (694 citations) and Oncology (230 citations). Katherine Sunderland has collaborated with scholars based in Canada, Australia and Singapore. Frequent co-authors include Kim N., Daygen L. Finch, Daniel Khalaf, Muhammad Zulfiqar, Joanna Vergidis, Martin Gleave, Conrad D. Oja, Bernhard J. Eigl, Christian Kollmannsberger and Alexander W. Wyatt. Their work appears in journals such as Journal of Clinical Oncology, The Lancet Oncology and The Journal of Urology.

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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