Katherine Gooch

2.3k total citations
90 papers, 1.6k citations indexed

About

Katherine Gooch is a scholar working on Epidemiology, Rheumatology and Molecular Biology. According to data from OpenAlex, Katherine Gooch has authored 90 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Epidemiology, 24 papers in Rheumatology and 20 papers in Molecular Biology. Recurrent topics in Katherine Gooch's work include Muscle Physiology and Disorders (18 papers), Urinary Bladder and Prostate Research (18 papers) and Pelvic floor disorders treatments (17 papers). Katherine Gooch is often cited by papers focused on Muscle Physiology and Disorders (18 papers), Urinary Bladder and Prostate Research (18 papers) and Pelvic floor disorders treatments (17 papers). Katherine Gooch collaborates with scholars based in United States, Canada and United Kingdom. Katherine Gooch's co-authors include Shelagh M. Szabo, H. Küpper, Désirée van der Heijde, Robert Wong, David Walker, Margaret C. Reilly, Adrian R. Levy, Pamela Vo, Pamela Bradt and Cy Frank and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The American Journal of Medicine.

In The Last Decade

Katherine Gooch

85 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine Gooch United States 20 496 403 287 231 206 90 1.6k
Manan Shah United States 20 144 0.3× 168 0.4× 575 2.0× 348 1.5× 85 0.4× 78 1.7k
Tahira Devji Canada 22 260 0.5× 321 0.8× 168 0.6× 537 2.3× 89 0.4× 39 1.6k
J. Dieleman Netherlands 17 247 0.5× 246 0.6× 313 1.1× 333 1.4× 390 1.9× 30 2.2k
Süleyman Türk Türkiye 25 94 0.2× 323 0.8× 166 0.6× 316 1.4× 70 0.3× 67 1.8k
S. Johansson Sweden 26 220 0.4× 350 0.9× 269 0.9× 1.3k 5.6× 28 0.1× 41 3.4k
Michael Herdman Spain 14 88 0.2× 87 0.2× 328 1.1× 145 0.6× 67 0.3× 38 1.4k
H.G.M. Leufkens Netherlands 13 162 0.3× 360 0.9× 128 0.4× 810 3.5× 22 0.1× 29 2.0k
Reema Mody United States 30 218 0.4× 533 1.3× 184 0.6× 1.0k 4.5× 14 0.1× 113 2.7k
Anne M. Suskind United States 25 998 2.0× 436 1.1× 263 0.9× 507 2.2× 927 4.5× 95 1.8k
Andrew Smyth Ireland 21 418 0.8× 167 0.4× 195 0.7× 145 0.6× 17 0.1× 77 1.9k

Countries citing papers authored by Katherine Gooch

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Gooch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Gooch

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Gooch. A scholar is included among the top collaborators of Katherine Gooch 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 Katherine Gooch. Katherine Gooch 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
4.
Johnston, Karissa, Jessica L. Dunne, David Feeny, et al.. (2024). Comparing Preferences for Disease Profiles: A Discrete Choice Experiment from a US Societal Perspective. Applied Health Economics and Health Policy. 22(3). 343–352.
5.
Asher, Damon R., et al.. (2023). Paving the way for future gene therapies: A case study of scientific spillover from delandistrogene moxeparvovec. Molecular Therapy — Methods & Clinical Development. 30. 474–483. 6 indexed citations
6.
Innis, Bruce L., et al.. (2023). EE401 Characterizing the Impact on Work Productivity in Patients with Duchenne Muscular Dystrophy and Caregivers: An Economic Analysis. Value in Health. 26(6). S133–S133. 1 indexed citations
7.
Gooch, Katherine, et al.. (2023). Assessing the impact of single or short-term administration on a therapy’s cost-effectiveness: a hypothetical disease-agnostic model. Journal of Medical Economics. 26(1). 594–602. 1 indexed citations
8.
Rodino‐Klapac, Louise R., et al.. (2023). Assessing the value of delandistrogene moxeparvovec (SRP-9001) gene therapy in patients with Duchenne muscular dystrophy in the United States. SHILAP Revista de lepidopterología. 11(1). 2216518–2216518. 5 indexed citations
9.
Lozano‐Ortega, Greta, Daniel Ng, Shelagh M. Szabo, et al.. (2020). Management of Patients with Overactive Bladder in Brazil: A Retrospective Observational Study Using Data From the Brazilian Public Health System. Advances in Therapy. 37(5). 2344–2355. 3 indexed citations
10.
Szabo, Shelagh M., et al.. (2019). PRO65 VARIABILITY IN AGE AT LOSS OF AMBULATION BY GENOTYPE AMONG BOYS WITH DUCHENNE MUSCULAR DYSTROPHY. Value in Health. 22. S853–S853. 1 indexed citations
11.
Szabo, Shelagh M., et al.. (2019). Characterizing health state utilities associated with Duchenne muscular dystrophy: a systematic review. Quality of Life Research. 29(3). 593–605. 23 indexed citations
12.
Lozano‐Ortega, Greta, Antoinette Cheung, Katherine Gooch, et al.. (2018). Assessment of Anticholinergic Burden scales and Measures for Estimating Anticholinergic Exposure in Retrospective u.s. Database Analyses. Value in Health. 21. S211–S211. 1 indexed citations
13.
Mitchell, Ian, et al.. (2014). The Disease Burden Associated With Infant Hospitalization For A Lower Respiratory Tract Infection (Lrti) In Canada. Value in Health. 17(3). A179–A179. 2 indexed citations
14.
Cline, Stephanie, et al.. (2013). An Assessment of Unemployment Among People Living with HIV/AIDS in Canada and Europe. Value in Health. 16(7). A363–A363. 2 indexed citations
15.
Santibáñez, Pablo, et al.. (2012). Acute care utilization due to hospitalizations for pediatric lower respiratory tract infections in British Columbia, Canada. BMC Health Services Research. 12(1). 451–451. 10 indexed citations
17.
Szabo, Shelagh M., Katherine Gooch, Ellen Korol, et al.. (2012). Respiratory Distress Syndrome at Birth Is a Risk Factor for Hospitalization for Lower Respiratory Tract Infections in Infancy. The Pediatric Infectious Disease Journal. 31(12). 1245–1251. 14 indexed citations
18.
Buesch, Katharina, Hoa Khong, & Katherine Gooch. (2011). Evaluating the risk of lower respiratory tract infection (LRTI) hospitalizations due to respiratory distress syndrome (RDS) in late preterm. European Respiratory Journal. 38(Suppl 55). 1718–1718. 1 indexed citations
19.
Maksymowych, Walter P., Katherine Gooch, Maxime Dougados, et al.. (2010). Thresholds of patient‐reported outcomes that define the patient acceptable symptom state in ankylosing spondylitis vary over time and by treatment and patient characteristics. Arthritis Care & Research. 62(6). 826–834. 33 indexed citations
20.
Gooch, Katherine, Douglas C. Smith, Tracy Wasylak, et al.. (2009). The Alberta hip and knee replacement project: A model for health technology assessment based on comparative effectiveness of clinical pathways. International Journal of Technology Assessment in Health Care. 25(2). 113–123. 24 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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