Kate Goddard

2.3k total citations · 1 hit paper
31 papers, 1.3k citations indexed

About

Kate Goddard is a scholar working on Astronomy and Astrophysics, Cancer Research and Surgery. According to data from OpenAlex, Kate Goddard has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Astronomy and Astrophysics, 5 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Kate Goddard's work include Planetary Science and Exploration (6 papers), Cancer Genomics and Diagnostics (5 papers) and Astro and Planetary Science (5 papers). Kate Goddard is often cited by papers focused on Planetary Science and Exploration (6 papers), Cancer Genomics and Diagnostics (5 papers) and Astro and Planetary Science (5 papers). Kate Goddard collaborates with scholars based in United Kingdom, United States and Canada. Kate Goddard's co-authors include Abdul Roudsari, Jeremy C Wyatt, N. H. Warner, Sanjeev Gupta, R. Charles Coombes, Karen Page, Allison Hills, Jacqui Shaw, Robert Hastings and Daniel Fernández-García and has published in prestigious journals such as Nature Medicine, Geophysical Research Letters and Clinical Cancer Research.

In The Last Decade

Kate Goddard

30 papers receiving 1.3k citations

Hit Papers

Automation bias: a systematic review of frequency, effect... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kate Goddard United Kingdom 16 346 231 229 224 175 31 1.3k
Christoph I. Lee United States 38 566 1.6× 100 0.4× 1.5k 6.8× 161 0.7× 1.3k 7.5× 184 4.7k
A.A.N. Patrinos United States 10 59 0.2× 420 1.8× 25 0.1× 50 0.2× 45 0.3× 22 1.0k
Stephen Houston United Kingdom 18 358 1.0× 350 1.5× 988 4.3× 86 0.4× 32 0.2× 43 1.5k
Tom Kelsey United Kingdom 31 47 0.1× 923 4.0× 525 2.3× 4 0.0× 53 0.3× 88 5.5k
Stéphane Gagnon Canada 22 42 0.1× 240 1.0× 25 0.1× 21 0.1× 33 0.2× 76 1.5k
Yanhong Chen China 23 8 0.0× 284 1.2× 17 0.1× 456 2.0× 174 1.0× 117 1.5k
Danielle S. Bitterman United States 21 79 0.2× 136 0.6× 243 1.1× 325 1.9× 85 1.6k
Mladen Petrovečki Croatia 22 122 0.4× 173 0.7× 114 0.5× 33 0.2× 103 1.5k
John Harrison United Kingdom 27 92 0.3× 131 0.6× 71 0.3× 11 0.0× 95 0.5× 143 3.3k

Countries citing papers authored by Kate Goddard

Since Specialization
Citations

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

Fields of papers citing papers by Kate Goddard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Goddard

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Goddard. A scholar is included among the top collaborators of Kate Goddard 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 Kate Goddard. Kate Goddard 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.
Page, Karen, Luke Martinson, Daniel Fernández-García, et al.. (2021). Circulating Tumor DNA Profiling From Breast Cancer Screening Through to Metastatic Disease. JCO Precision Oncology. 5(5). 1768–1776. 22 indexed citations
3.
Fernández-García, Daniel, Allison Hills, Karen Page, et al.. (2019). Plasma cell-free DNA (cfDNA) as a predictive and prognostic marker in patients with metastatic breast cancer. Breast Cancer Research. 21(1). 149–149. 92 indexed citations
4.
Simmons, Christine, Paul W. Clarkson, Kate Goddard, et al.. (2019). Evolving Practice Patterns Over Two Decades (1993–2013) in the Management of Desmoid-type Fibromatosis in British Columbia. Clinical Oncology. 32(4). e102–e110. 8 indexed citations
5.
Pennington, Mark, Jennifer Summers, Kate Goddard, et al.. (2018). SecurAcath for Securing Peripherally Inserted Central Catheters: A NICE Medical Technology Guidance. Applied Health Economics and Health Policy. 16(6). 779–791. 21 indexed citations
6.
7.
Patten, Darren K., Giacomo Corleone, Balázs Győrffy, et al.. (2018). Enhancer mapping uncovers phenotypic heterogeneity and evolution in patients with luminal breast cancer. Nature Medicine. 24(9). 1469–1480. 83 indexed citations
8.
Goddard, Kate, et al.. (2018). Comparing the Diagnostic Accuracy of Simple Tests to Screen for Diabetic Peripheral Neuropathy: Protocol for a Cross-Sectional Study. JMIR Research Protocols. 7(4). e72–e72. 10 indexed citations
9.
Shaw, Jacqui, David S. Guttery, Allison Hills, et al.. (2016). Mutation Analysis of Cell-Free DNA and Single Circulating Tumor Cells in Metastatic Breast Cancer Patients with High Circulating Tumor Cell Counts. Clinical Cancer Research. 23(1). 88–96. 171 indexed citations
10.
Page, Karen, David S. Guttery, Daniel Fernández-García, et al.. (2016). Next Generation Sequencing of Circulating Cell-Free DNA for Evaluating Mutations and Gene Amplification in Metastatic Breast Cancer. Clinical Chemistry. 63(2). 532–541. 74 indexed citations
11.
Frosch, Caren A., Rachel McCloy, C. Philip Beaman, & Kate Goddard. (2014). Time to decide? Simplicity and congruity in comparative judgment.. Journal of Experimental Psychology Learning Memory and Cognition. 41(1). 42–54. 1 indexed citations
12.
Goddard, Kate, Abdul Roudsari, & Jeremy C Wyatt. (2014). Automation bias: Empirical results assessing influencing factors. International Journal of Medical Informatics. 83(5). 368–375. 94 indexed citations
13.
Warner, N. H., et al.. (2013). Fill and spill of giant lakes in the eastern Valles Marineris region of Mars. Geology. 41(6). 675–678. 55 indexed citations
14.
Goddard, Kate, et al.. (2012). Transient Landscape Evolution in the Amazonian-Age Mojave Crater, Mars. LPI. 1393. 2 indexed citations
15.
Goddard, Kate, Abdul Roudsari, & Jeremy C Wyatt. (2011). Automation bias: a systematic review of frequency, effect mediators, and mitigators. Journal of the American Medical Informatics Association. 19(1). 121–127. 391 indexed citations breakdown →
16.
Houston‐Price, Carmel, et al.. (2010). Tracking speakers’ false beliefs: is theory of mind available earlier for word learning?. Developmental Science. 14(4). 623–634. 2 indexed citations
17.
McCloy, Rachel, C. Philip Beaman, Caren A. Frosch, & Kate Goddard. (2010). Fast and frugal framing effects?. Journal of Experimental Psychology Learning Memory and Cognition. 36(4). 1043–1052. 15 indexed citations
18.
Goddard, Kate, et al.. (2010). Formatively evaluating the importance of different aspects of an electronic blood transfusion system from the end users' point of view: a questionnaire study. Studies in health technology and informatics. 160(Pt 2). 1211–5. 2 indexed citations
19.
Beaman, C. Philip, Kate Goddard, & Rachel McCloy. (2006). Rich and famous: recognition-based judgment in the Sunday Times rich list. eScholarship (California Digital Library). 28(28). 2 indexed citations
20.
Goddard, Kate. (2004). Skill: National Bureau for Students with Disabilities. BMJ. 329(7468). s131–s131. 5 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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