G. Schrader

1.8k total citations
51 papers, 1.1k citations indexed

About

G. Schrader is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine and Clinical Psychology. According to data from OpenAlex, G. Schrader has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in General Health Professions, 12 papers in Cardiology and Cardiovascular Medicine and 10 papers in Clinical Psychology. Recurrent topics in G. Schrader's work include Cardiac Health and Mental Health (10 papers), Mental Health Treatment and Access (6 papers) and Digital Mental Health Interventions (5 papers). G. Schrader is often cited by papers focused on Cardiac Health and Mental Health (10 papers), Mental Health Treatment and Access (6 papers) and Digital Mental Health Interventions (5 papers). G. Schrader collaborates with scholars based in Australia, United Kingdom and United States. G. Schrader's co-authors include Niranjan Bidargaddi, Frida Cheok, W. Lorenz, A. Henglein, John Knight, M Andrew, Robert A. Baker, Megan Winsall, Gaston Antezana and Simone Orlowski and has published in prestigious journals such as Journal of the American Chemical Society, American Journal of Psychiatry and The British Journal of Psychiatry.

In The Last Decade

G. Schrader

51 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Schrader Australia 20 294 246 215 191 184 51 1.1k
Monika E. Kolodziej United States 13 186 0.6× 178 0.7× 347 1.6× 90 0.5× 223 1.2× 24 986
Lawrence F. Van Egeren United States 18 425 1.4× 221 0.9× 265 1.2× 129 0.7× 199 1.1× 26 1.2k
Misato Gbedemah United States 16 199 0.7× 88 0.4× 269 1.3× 122 0.6× 159 0.9× 17 1.1k
Sophie Bostock United Kingdom 14 511 1.7× 97 0.4× 280 1.3× 235 1.2× 149 0.8× 16 1.4k
Patrick Gallagher United States 13 184 0.6× 279 1.1× 274 1.3× 191 1.0× 168 0.9× 31 1.1k
Nancy Lazarus United States 9 433 1.5× 146 0.6× 215 1.0× 115 0.6× 108 0.6× 10 1.1k
Emily H. Feig United States 17 141 0.5× 150 0.6× 478 2.2× 219 1.1× 196 1.1× 38 1.1k
Kim Sweeny Australia 10 471 1.6× 55 0.2× 365 1.7× 147 0.8× 342 1.9× 38 1.5k
Carol DeFrancesco United States 14 359 1.2× 50 0.2× 275 1.3× 200 1.0× 119 0.6× 22 1.3k
Claudia Sikorski Germany 21 387 1.3× 116 0.5× 595 2.8× 88 0.5× 282 1.5× 40 1.7k

Countries citing papers authored by G. Schrader

Since Specialization
Citations

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

Fields of papers citing papers by G. Schrader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Schrader

This figure shows the co-authorship network connecting the top 25 collaborators of G. Schrader. A scholar is included among the top collaborators of G. Schrader 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 G. Schrader. G. Schrader 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.
Bidargaddi, Niranjan, G. Schrader, Predrag Klasnja, Julio Licínio, & Susan A. Murphy. (2020). Designing m-Health interventions for precision mental health support. Translational Psychiatry. 10(1). 222–222. 53 indexed citations
2.
Bidargaddi, Niranjan, Jörg Strobel, G. Schrader, et al.. (2019). Health timeline: an insight-based study of a timeline visualization of clinical data. BMC Medical Informatics and Decision Making. 19(1). 15 indexed citations
3.
4.
Bidargaddi, Niranjan, Peter Musiat, Megan Winsall, et al.. (2017). Efficacy of a Web-Based Guided Recommendation Service for a Curated List of Readily Available Mental Health and Well-Being Mobile Apps for Young People: Randomized Controlled Trial. Journal of Medical Internet Research. 19(5). e141–e141. 40 indexed citations
5.
6.
Orlowski, Simone, Sharon Lawn, Ben Matthews, et al.. (2016). The promise and the reality: a mental health workforce perspective on technology-enhanced youth mental health service delivery. BMC Health Services Research. 16(1). 562–562. 27 indexed citations
7.
Newman, Lareen, Niranjan Bidargaddi, & G. Schrader. (2016). Service providers’ experiences of using a telehealth network 12 months after digitisation of a large Australian rural mental health service. International Journal of Medical Informatics. 94. 8–20. 34 indexed citations
8.
Cai, Shaoxin, Alison M. Coates, Jonathan D. Buckley, et al.. (2016). There is No Association Between the Omega-3 Index and Depressive Symptoms in Patients With Heart Disease Who Are Low Fish Consumers. Heart Lung and Circulation. 26(3). 276–284. 4 indexed citations
9.
Bidargaddi, Niranjan, Tarun Bastiampillai, G. Schrader, et al.. (2015). Changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in South Australia. BMC Emergency Medicine. 15(1). 16–16. 12 indexed citations
10.
Orlowski, Simone, Sharon Lawn, Anthony Venning, et al.. (2015). Participatory Research as One Piece of the Puzzle: A Systematic Review of Consumer Involvement in Design of Technology-Based Youth Mental Health and Well-Being Interventions. JMIR Human Factors. 2(2). e12–e12. 107 indexed citations
11.
Antezana, Gaston, Niranjan Bidargaddi, G. Schrader, et al.. (2015). Development of an Online Well-Being Intervention for Young People: An Evaluation Protocol. JMIR Research Protocols. 4(2). e48–e48. 14 indexed citations
12.
Schrader, G., et al.. (2013). Prevalence of Depression in Patients With Chest Pain and Non-Obstructive Coronary Artery Disease. The American Journal of Cardiology. 112(5). 656–659. 23 indexed citations
13.
Tavella, Rosanna, Tracy Air, Graeme Tucker, et al.. (2010). Using the Short Form-36 mental summary score as an indicator of depressive symptoms in patients with coronary heart disease. Quality of Life Research. 19(8). 1105–1113. 13 indexed citations
14.
Schrader, G., et al.. (2004). Predictors of Depression Three Months After Cardiac Hospitalization. Psychosomatic Medicine. 66(4). 514–520. 47 indexed citations
15.
Baker, Robert A., M Andrew, G. Schrader, & John Knight. (2001). Preoperative depression and mortality in coronary artery bypass surgery: Preliminary findings. ANZ Journal of Surgery. 71(3). 139–142. 87 indexed citations
16.
Schrader, G.. (1997). Subjective and Objective Assessments of Medical Comorbidity in Chronic Depression. Psychotherapy and Psychosomatics. 66(5). 258–260. 27 indexed citations
17.
Schrader, G.. (1997). Does anhedonia correlate with depression severity in chronic depression?. Comprehensive Psychiatry. 38(5). 260–263. 60 indexed citations
18.
Galletly, Cherrie, et al.. (1995). Medical student attitudes to psychiatry: lack of effect of psychiatric hospital experience. Medical Education. 29(6). 449–451. 37 indexed citations
19.
Schrader, G.. (1994). Chronic Depression. The Journal of Nervous and Mental Disease. 182(10). 552–555. 16 indexed citations
20.
Schrader, G., et al.. (1990). The recollection of affect. Psychological Medicine. 20(1). 105–109. 32 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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