David Waterhouse

21.7k total citations
175 papers, 4.9k citations indexed

About

David Waterhouse is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, David Waterhouse has authored 175 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Oncology, 81 papers in Pulmonary and Respiratory Medicine and 26 papers in Cancer Research. Recurrent topics in David Waterhouse's work include Lung Cancer Treatments and Mutations (60 papers), Lung Cancer Research Studies (36 papers) and Cancer Immunotherapy and Biomarkers (31 papers). David Waterhouse is often cited by papers focused on Lung Cancer Treatments and Mutations (60 papers), Lung Cancer Research Studies (36 papers) and Cancer Immunotherapy and Biomarkers (31 papers). David Waterhouse collaborates with scholars based in United States, United Kingdom and Netherlands. David Waterhouse's co-authors include David R. Spigel, John D. Hainsworth, Howard A. Burris, Ronald B. Natale, Stephen A. Ward, F. Anthony Greco, Robert C. Whorf, Coleman K. Obasaju, Mary Varterasian and Oday Hamid and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

David Waterhouse

162 papers receiving 4.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Waterhouse United States 35 2.5k 2.0k 1.3k 720 480 175 4.9k
Rupert Bartsch Austria 42 3.4k 1.4× 2.2k 1.1× 837 0.6× 1.1k 1.5× 411 0.9× 275 5.8k
Yu Jung Kim South Korea 35 2.5k 1.0× 1.6k 0.8× 1.0k 0.8× 729 1.0× 359 0.7× 247 5.1k
E. Anders Kolb United States 46 1.8k 0.7× 1.4k 0.7× 3.1k 2.3× 919 1.3× 511 1.1× 283 6.2k
Sébastien J. Hotte Canada 41 2.9k 1.2× 2.7k 1.4× 2.5k 1.8× 1.3k 1.8× 416 0.9× 250 6.6k
Joshua D. Schiffman United States 38 1.3k 0.5× 1.4k 0.7× 2.3k 1.7× 1.4k 1.9× 553 1.2× 155 6.2k
Salomon M. Stemmer Israel 46 5.0k 2.0× 1.6k 0.8× 2.0k 1.5× 1.7k 2.3× 535 1.1× 237 8.5k
Linda Mileshkin Australia 40 3.2k 1.3× 938 0.5× 1.6k 1.2× 979 1.4× 885 1.8× 273 6.6k
Rebecca Slack United States 32 1.5k 0.6× 846 0.4× 1.0k 0.8× 628 0.9× 406 0.8× 101 3.8k
Thomas John Australia 39 3.2k 1.3× 3.7k 1.9× 1.7k 1.2× 1.1k 1.5× 331 0.7× 260 6.0k
Susan F. Slovin United States 46 3.2k 1.3× 2.8k 1.4× 2.1k 1.6× 719 1.0× 277 0.6× 202 7.1k

Countries citing papers authored by David Waterhouse

Since Specialization
Citations

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

Fields of papers citing papers by David Waterhouse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Waterhouse

This figure shows the co-authorship network connecting the top 25 collaborators of David Waterhouse. A scholar is included among the top collaborators of David Waterhouse 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 David Waterhouse. David Waterhouse 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
3.
Butrynski, James E., John C. Paschold, Patrick J. Ward, et al.. (2024). Biomarker testing in early-stage NSCLC: Results from the MYLUNG Consortium.. Journal of Clinical Oncology. 42(16_suppl). 8047–8047. 1 indexed citations
5.
Schenkel, Caroline, Suanna S. Bruinooge, Jeffrey Peppercorn, et al.. (2023). The state of cancer treatment trials in America: A comparison of counties with and without active trials by demography and social vulnerability.. JCO Oncology Practice. 19(11_suppl). 94–94. 1 indexed citations
6.
He, Kai, David Berz, Shirish M. Gadgeel, et al.. (2023). MRTX-500 Phase 2 Trial: Sitravatinib With Nivolumab in Patients With Nonsquamous NSCLC Progressing On or After Checkpoint Inhibitor Therapy or Chemotherapy. Journal of Thoracic Oncology. 18(7). 907–921. 20 indexed citations
8.
Stenehjem, David D., Solomon J. Lubinga, Keith A. Betts, et al.. (2021). Treatment Patterns in Patients with Metastatic Non-Small-Cell Lung Cancer in the Era of Immunotherapy. Future Oncology. 17(22). 2940–2949. 14 indexed citations
9.
Waterhouse, David, Jenny Lam, Keith A. Betts, et al.. (2021). Real-world outcomes of immunotherapy–based regimens in first-line advanced non-small cell lung cancer. Lung Cancer. 156. 41–49. 88 indexed citations
11.
Bustinduy, Amaya L., David Waterhouse, José Carlos Sousa-Figueiredo, et al.. (2016). Population Pharmacokinetics and Pharmacodynamics of Praziquantel in Ugandan Children with Intestinal Schistosomiasis: Higher Dosages Are Required for Maximal Efficacy. mBio. 7(4). 61 indexed citations
12.
George, Ben, Karen Kelly, Amy Ko, et al.. (2016). Phase I study of nivolumab (nivo) + nab-paclitaxel (nab-P) in solid tumors: results from the pancreatic cancer (PC) and non-small cell lung cancer (NSCLC) cohorts. Annals of Oncology. 27. vi363–vi363. 2 indexed citations
13.
Johnson, Melissa L., Volker Wacheck, Maen Hussein, et al.. (2016). A phase 2 study of LY3023414 and necitumumab after first-line chemotherapy for metastatic squamous non-small cell lung cancer (NSCLC). Annals of Oncology. 27. vi441–vi441. 3 indexed citations
14.
Blumenschein, George R., Jason C. Chandler, Edward B. Garon, et al.. (2016). PS01.59: CheckMate 370: A Master Protocol of Phase 1/2 Studies of Nivolumab as Maintenance or First-Line ± Standard-of-Care Therapies in Advanced NSCLC. Journal of Thoracic Oncology. 11(11). S307–S307. 4 indexed citations
15.
Weber, Jeffrey S., Laura A. Levit, Peter C. Adamson, et al.. (2014). American Society of Clinical Oncology Policy Statement Update: The Critical Role of Phase I Trials in Cancer Research and Treatment. Journal of Clinical Oncology. 33(3). 278–284. 81 indexed citations
17.
Hahn, Noah M., Walter M. Stadler, Robin Zoň, et al.. (2011). Phase II Trial of Cisplatin, Gemcitabine, and Bevacizumab As First-Line Therapy for Metastatic Urothelial Carcinoma: Hoosier Oncology Group GU 04-75. Journal of Clinical Oncology. 29(12). 1525–1530. 147 indexed citations
18.
Hainsworth, John D., David R. Spigel, Howard A. Burris, et al.. (2010). Phase II Trial of Bevacizumab and Everolimus in Patients With Advanced Renal Cell Carcinoma. Journal of Clinical Oncology. 28(13). 2131–2136. 135 indexed citations
19.
Jalal, Shadia I., David Waterhouse, Martin J. Edelman, et al.. (2009). Pemetrexed plus Cetuximab in Patients with Recurrent Non-small Cell Lung Cancer (NSCLC): A Phase I/II Study from the Hoosier Oncology Group. Journal of Thoracic Oncology. 4(11). 1420–1424. 12 indexed citations
20.
Dyke, Gareth J., et al.. (2004). Three new landbirds from the early Paleogene of Denmark. ePrints Soton (University of Southampton). 3 indexed citations

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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