Su‐Ching Kuo

409 total citations
11 papers, 317 citations indexed

About

Su‐Ching Kuo is a scholar working on Public Health, Environmental and Occupational Health, Clinical Psychology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Su‐Ching Kuo has authored 11 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 7 papers in Clinical Psychology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Su‐Ching Kuo's work include Palliative Care and End-of-Life Issues (10 papers), Grief, Bereavement, and Mental Health (7 papers) and Migration, Health and Trauma (4 papers). Su‐Ching Kuo is often cited by papers focused on Palliative Care and End-of-Life Issues (10 papers), Grief, Bereavement, and Mental Health (7 papers) and Migration, Health and Trauma (4 papers). Su‐Ching Kuo collaborates with scholars based in Taiwan and United States. Su‐Ching Kuo's co-authors include Siew Tzuh Tang, Chen Hsiu Chen, Holly G. Prigerson, Chung‐Yi Li, Wen-Chi Chou, Fur‐Hsing Wen, Wen‐Chi Chou, Wen‐Chi Shen, Jen‐Shi Chen and Ming‐Mo Hou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Oncology and Psycho-Oncology.

In The Last Decade

Su‐Ching Kuo

11 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Su‐Ching Kuo Taiwan 8 236 167 101 60 54 11 317
Tina M. Mason United States 10 177 0.8× 168 1.0× 118 1.2× 52 0.9× 52 1.0× 44 370
Daniel Gorman United States 5 253 1.1× 171 1.0× 42 0.4× 41 0.7× 49 0.9× 7 350
Inger Benkel Sweden 11 257 1.1× 207 1.2× 104 1.0× 27 0.5× 63 1.2× 30 371
Minke Goldsteen Netherlands 6 262 1.1× 139 0.8× 123 1.2× 26 0.4× 80 1.5× 7 357
Alaka Ray United States 6 156 0.7× 79 0.5× 90 0.9× 66 1.1× 18 0.3× 11 252
Madeline Rogers United States 10 97 0.4× 125 0.7× 100 1.0× 31 0.5× 42 0.8× 14 296
Erica Witkamp Netherlands 9 183 0.8× 123 0.7× 87 0.9× 44 0.7× 46 0.9× 25 269
Saran Yoshida Japan 13 353 1.5× 151 0.9× 133 1.3× 50 0.8× 46 0.9× 27 427
Kenneth Texeira United States 4 292 1.2× 223 1.3× 61 0.6× 18 0.3× 79 1.5× 5 395
Susan Blacker Canada 11 277 1.2× 129 0.8× 177 1.8× 46 0.8× 23 0.4× 18 383

Countries citing papers authored by Su‐Ching Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Ching Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Ching Kuo. 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 Su‐Ching Kuo. The network helps show where Su‐Ching Kuo may publish in the future.

Co-authorship network of co-authors of Su‐Ching Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Ching Kuo. A scholar is included among the top collaborators of Su‐Ching Kuo 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 Su‐Ching Kuo. Su‐Ching Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
2.
Kuo, Su‐Ching, Fur‐Hsing Wen, Jen‐Shi Chen, et al.. (2019). Preloss Psychosocial Resources Predict Depressive Symptom Trajectories Among Terminally Ill Cancer Patients' Caregivers in Their First Two Years of Bereavement. Journal of Pain and Symptom Management. 58(1). 29–38.e2. 14 indexed citations
4.
Kuo, Su‐Ching, et al.. (2018). Prolonged grief disorder and depression are distinct for caregivers across their first bereavement year. Psycho-Oncology. 27(3). 1027–1034. 28 indexed citations
5.
Kuo, Su‐Ching, Wen‐Chi Chou, Ming‐Mo Hou, et al.. (2018). Changes in and modifiable patient- and family caregiver-related factors associated with cancer patients’ high self-perceived burden to others at the end of life: A longitudinal study. European Journal of Cancer Care. 27(6). e12942–e12942. 20 indexed citations
6.
Kuo, Su‐Ching, et al.. (2018). Perspectives of Decision-Making for Corneal Donation: A Qualitative Research Among Cancer Patients. OMEGA - Journal of Death and Dying. 80(4). 648–665. 2 indexed citations
7.
Kuo, Su‐Ching, Jialing Sun, & Siew Tzuh Tang. (2017). Trajectories of depressive symptoms for bereaved family members of chronically ill patients: a systematic review. Journal of Clinical Nursing. 26(23-24). 3784–3799. 14 indexed citations
8.
Kuo, Su‐Ching, Wen‐Chi Chou, Jen‐Shi Chen, et al.. (2016). Longitudinal Changes in and Modifiable Predictors of the Prevalence of Severe Depressive Symptoms for Family Caregivers of Terminally Ill Cancer Patients over the First Two Years of Bereavement. Journal of Palliative Medicine. 20(1). 15–22. 23 indexed citations
9.
Chen, Chen Hsiu, Su‐Ching Kuo, & Siew Tzuh Tang. (2016). Current status of accurate prognostic awareness in advanced/terminally ill cancer patients: Systematic review and meta-regression analysis. Palliative Medicine. 31(5). 406–418. 120 indexed citations
10.
Liu, Tsang‐Wu, Jyh‐Ming Chow, Chang‐Fang Chiu, et al.. (2015). Gap in the Intensity of End-of-Life Care between Younger and Older Taiwanese Adult Cancer Patients may not Reflect Younger Patients’ Preferences. SHILAP Revista de lepidopterología. 2 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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