Thomas E. Gwise

22 papers receiving 849 citations

Thomas E. Gwise's Hit Papers

FDA Approval Summary: Olaparib Monotherapy in Patients with Deleterious Germline BRCA-Mutated Advanced Ovarian Cancer Treated with Three or More Lines of Chemotherapy 2015 · 456 citations
4560+3+7Years since publication100200300400

Peers

Thomas E. Gwise
Comparison fields: 5 of 73
  • Oncology 427
  • Statistics and Probability 118
  • Hematology 107
  • Reproductive Medicine 72
  • Cancer Research 88
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Countries citing papers authored by Thomas E. Gwise

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Gwise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Gwise. 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 Thomas E. Gwise. The network helps show where Thomas E. Gwise may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
FDA Approval Summary: Olaparib Monotherapy in Patients with Deleterious Germline BRCA-Mutated Advanced Ovarian Cancer Treated with Three or More Lines of Chemotherapy
Hit paper breakdown →
2015456
2 2022130
3 202246
4 201830
5 202125
6 202124
7 202321
8 202120
9 202019
10 202313
11 202213
12 201311
13 202111
14 202111
15 201611
16 200811
17 20237
18 20105
19 20233
20 20212

About Thomas E. Gwise

Thomas E. Gwise is a scholar working on Statistics and Probability, Economics and Econometrics, Hematology, Oncology and Cancer Research, having authored 25 papers that have together received 871 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (15 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Cancer Genomics and Diagnostics (4 papers), Advanced Causal Inference Techniques (4 papers), Biosimilars and Bioanalytical Methods (4 papers), Multiple Myeloma Research and Treatments (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Oncology (427 citations), Statistics and Probability (118 citations), Hematology (107 citations), Reproductive Medicine (72 citations) and Cancer Research (88 citations). Thomas E. Gwise has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Richard M. Pazdur, Marc Robert Theoret, Rajeshwari Sridhara, Vishal Bhatnagar, Laura L. Fernandes, Paul Gustav Kluetz, Jonathon Joseph Vallejo, Bindu Kanapuru, Shenghui W. Tang and Laleh Amiri‐Kordestani. Their work appears in journals such as Statistics in Biopharmaceutical Research, Clinical Cancer Research, Blood Cancer Journal, Journal of Clinical Oncology and Quality of Life Research.

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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