David Goodale

4.3k total citations · 2 hit papers
41 papers, 3.2k citations indexed

About

David Goodale is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, David Goodale has authored 41 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 11 papers in Cancer Research and 10 papers in Molecular Biology. Recurrent topics in David Goodale's work include Cancer Cells and Metastasis (14 papers), Anesthesia and Sedative Agents (10 papers) and Anesthesia and Neurotoxicity Research (5 papers). David Goodale is often cited by papers focused on Cancer Cells and Metastasis (14 papers), Anesthesia and Sedative Agents (10 papers) and Anesthesia and Neurotoxicity Research (5 papers). David Goodale collaborates with scholars based in Canada, United States and Switzerland. David Goodale's co-authors include Elizabeth Youngs, Thomas W. Schnider, Steven L. Shafer, Corina Andresen, Charles F. Minto, Pedro L. Gambús, Alison L. Allan, Carl O. Postenka, Jenny E. Chu and Alysha K. Croker and has published in prestigious journals such as Science, Cancer Research and Developmental Cell.

In The Last Decade

David Goodale

41 papers receiving 3.1k citations

Hit Papers

The Influence of Method of Administration and Covariates ... 1998 2026 2007 2016 1998 1999 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Goodale Canada 21 1.7k 882 706 671 558 41 3.2k
Hiroki Iida Japan 24 456 0.3× 210 0.2× 126 0.2× 697 1.0× 350 0.6× 190 2.2k
Michael Miksa United States 15 397 0.2× 1.0k 1.1× 423 0.6× 128 0.2× 635 1.1× 18 2.6k
David Zhou United States 23 279 0.2× 147 0.2× 195 0.3× 647 1.0× 738 1.3× 40 2.3k
Kunio Takishima Japan 21 279 0.2× 518 0.6× 337 0.5× 88 0.1× 804 1.4× 61 1.8k
Liqun Yang China 26 145 0.1× 215 0.2× 73 0.1× 539 0.8× 715 1.3× 95 2.3k
Honghai Zhang China 25 89 0.1× 188 0.2× 156 0.2× 116 0.2× 333 0.6× 76 1.6k
Bin Mei China 22 125 0.1× 186 0.2× 186 0.3× 114 0.2× 295 0.5× 77 1.3k
Hiroshi Takeshita Japan 22 262 0.2× 187 0.2× 123 0.2× 192 0.3× 272 0.5× 81 1.5k
Takashi Horiguchi Japan 30 50 0.0× 261 0.3× 206 0.3× 315 0.5× 869 1.6× 136 2.7k
Jun Young Heo South Korea 26 91 0.1× 158 0.2× 124 0.2× 129 0.2× 835 1.5× 105 2.1k

Countries citing papers authored by David Goodale

Since Specialization
Citations

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

Fields of papers citing papers by David Goodale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Goodale

This figure shows the co-authorship network connecting the top 25 collaborators of David Goodale. A scholar is included among the top collaborators of David Goodale 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 Goodale. David Goodale 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
1.
Chen, Yuanxin, et al.. (2021). A survivin-driven, tumor-activatable minicircle system for prostate cancer theranostics. Molecular Therapy — Oncolytics. 20. 209–219. 11 indexed citations
2.
Goodale, David, et al.. (2021). EMT-independent detection of circulating tumor cells in human blood samples and pre-clinical mouse models of metastasis. Clinical & Experimental Metastasis. 38(1). 97–108. 27 indexed citations
3.
Sabra, Sally, Salah A. Sheweita, Medhat Haroun, et al.. (2018). Magnetically Guided Self-Assembled Protein Micelles for Enhanced Delivery of Dasatinib to Human Triple-Negative Breast Cancer Cells. Journal of Pharmaceutical Sciences. 108(5). 1713–1725. 58 indexed citations
4.
Chu, Jenny E., et al.. (2016). Generation of Organ-conditioned Media and Applications for Studying Organ-specific Influences on Breast Cancer Metastatic Behavior. Journal of Visualized Experiments. 4 indexed citations
5.
6.
Lowes, Lori E., David Goodale, Michael Keeney, & Alison L. Allan. (2011). Image Cytometry Analysis of Circulating Tumor Cells. Methods in cell biology. 102. 261–290. 20 indexed citations
7.
Croker, Alysha K., David Goodale, Jenny E. Chu, et al.. (2008). High aldehyde dehydrogenase and expression of cancer stem cell markers selects for breast cancer cells with enhanced malignant and metastatic ability. Journal of Cellular and Molecular Medicine. 13(8b). 2236–2252. 416 indexed citations
8.
Hedley, Benjamin D., David Goodale, Carl O. Postenka, et al.. (2007). The thrombin inhibitor Argatroban reduces breast cancer malignancy and metastasis via osteopontin-dependent and osteopontin-independent mechanisms. Breast Cancer Research and Treatment. 112(2). 243–254. 45 indexed citations
9.
Ahlén, Kjell, et al.. (2006). The ‘propofol infusion syndrome’: the facts, their interpretation and implications for patient care. European Journal of Anaesthesiology. 23(12). 990–998. 56 indexed citations
10.
Shojaei, Farbod, Jennifer J. Trowbridge, Lisa Gallacher, et al.. (2005). Hierarchical and Ontogenic Positions Serve to Define the Molecular Basis of Human Hematopoietic Stem Cell Behavior. Developmental Cell. 8(5). 651–663. 55 indexed citations
11.
Cohen, Ira Todd, Julia C. Finkel, Raafat S. Hannallah, & David Goodale. (2004). Clinical and biochemical effects of propofol EDTA vs sevoflurane in healthy infants and young children1. Pediatric Anesthesia. 14(2). 135–142. 15 indexed citations
12.
Cohen, Ira Todd, Raafat S. Hannallah, & David Goodale. (2001). The Clinical and Biochemical Effects of Propofol Infusion With and Without EDTA for Maintenance Anesthesia in Healthy Children Undergoing Ambulatory Surgery. Anesthesia & Analgesia. 93(1). 106–111. 11 indexed citations
13.
Thompson, Ken & David Goodale. (2000). The Recent Development of Propofol (DIPRIVAN®). Intensive Care Medicine. 26(S3). S400–S404. 57 indexed citations
14.
Kelly, Daniel F., David Goodale, John Williams, et al.. (1999). Propofol in the treatment of moderate and severe head injury: a randomized, prospective double-blinded pilot trial. Journal of neurosurgery. 90(6). 1042–1052. 151 indexed citations
15.
Schnider, Thomas W., Charles F. Minto, Steven L. Shafer, et al.. (1999). The Influence of Age on Propofol Pharmacodynamics. Anesthesiology. 90(6). 1502–1516.. 793 indexed citations breakdown →
16.
Goodale, David, et al.. (1996). Pancreatitis after Propofol Administration. Anesthesiology. 84(1). 236–237. 9 indexed citations
17.
Higgins, Thomas L., et al.. (1994). Propofol versus midazolam for intensive care unit sedation after coronary artery bypass grafting. Critical Care Medicine. 22(9). 1415–1423. 71 indexed citations
18.
Wieland, Scott, David Goodale, & Irwin Lucki. (1989). Behavioral effects of 8-OH-DPAT: studies using the Microtaxic Ventricular Injector. Journal of Neuroscience Methods. 30(2). 151–159. 17 indexed citations
19.
Goodale, David, et al.. (1988). Selective protection from the inhibition by EEDQ of D1 and D2 dopamine agonist-induced rotational behavior in mice. Pharmacology Biochemistry and Behavior. 30(2). 457–462. 7 indexed citations
20.
Goodale, David, et al.. (1980). Neurochemical and Behavioral Evidence for a Selective Presynaptic Dopamine Receptor Agonist. Science. 210(4474). 1141–1143. 68 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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