Xin S. Wang

1.2k total citations
16 papers, 889 citations indexed

About

Xin S. Wang is a scholar working on Oncology, Anesthesiology and Pain Medicine and Surgery. According to data from OpenAlex, Xin S. Wang has authored 16 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 5 papers in Anesthesiology and Pain Medicine and 4 papers in Surgery. Recurrent topics in Xin S. Wang's work include Cancer survivorship and care (7 papers), Pain Management and Opioid Use (5 papers) and Palliative Care and End-of-Life Issues (4 papers). Xin S. Wang is often cited by papers focused on Cancer survivorship and care (7 papers), Pain Management and Opioid Use (5 papers) and Palliative Care and End-of-Life Issues (4 papers). Xin S. Wang collaborates with scholars based in United States, Russia and Netherlands. Xin S. Wang's co-authors include Charles S. Cleeland, Tito R. Mendoza, Adam S. Garden, Merrill S. Kies, K. Kian Ang, Ibrahima Gning, Mark S. Chambers, Jan S. Lewin, David I. Rosenthal and Xinhua S. Ren and has published in prestigious journals such as Blood, Cancer and Cancer Research.

In The Last Decade

Xin S. Wang

14 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin S. Wang United States 12 456 221 218 204 194 16 889
Alessio Gamba Italy 9 292 0.6× 59 0.3× 110 0.5× 64 0.3× 162 0.8× 21 668
Esther Dajczman Canada 13 288 0.6× 500 2.3× 256 1.2× 21 0.1× 131 0.7× 28 996
Carmelita P. Escalante United States 10 710 1.6× 309 1.4× 115 0.5× 28 0.1× 317 1.6× 24 1.2k
Leonard Chiu Canada 18 195 0.4× 119 0.5× 324 1.5× 10 0.0× 88 0.5× 42 780
Selina Chow United States 15 149 0.3× 102 0.5× 59 0.3× 9 0.0× 156 0.8× 54 700
Hanna Tervonen Australia 14 139 0.3× 94 0.4× 71 0.3× 9 0.0× 45 0.2× 39 562
Yoshinobu Matsuda Japan 14 291 0.6× 282 1.3× 39 0.2× 9 0.0× 127 0.7× 108 756
Erik A. H. Loeffen Netherlands 14 119 0.3× 83 0.4× 42 0.2× 38 0.2× 295 1.5× 20 541
Pamela Ginex United States 15 231 0.5× 68 0.3× 87 0.4× 19 0.1× 37 0.2× 51 621
Victoria Zuk Canada 10 171 0.4× 81 0.4× 143 0.7× 23 0.1× 31 0.2× 26 521

Countries citing papers authored by Xin S. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xin S. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin S. Wang. 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 Xin S. Wang. The network helps show where Xin S. Wang may publish in the future.

Co-authorship network of co-authors of Xin S. Wang

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

All Works

16 of 16 papers shown
1.
Iniesta, Maria D., Pedro T. Ramírez, Mark F. Munsell, et al.. (2025). Integration of self-hypnosis in an enhanced recovery after surgery program in gynecologic oncology – A prospective randomized trial. Gynecologic Oncology. 198. 96–103.
2.
Huepenbecker, Sarah P., Maria D. Iniesta, Xin S. Wang, et al.. (2023). Longitudinal perioperative patient-reported outcomes in open compared with minimally invasive hysterectomy. American Journal of Obstetrics and Gynecology. 230(2). 241.e1–241.e18.
3.
Deng, Gary, Sergio Giralt, David J. Chung, et al.. (2017). Acupuncture for reduction of symptom burden in multiple myeloma patients undergoing autologous hematopoietic stem cell transplantation: a randomized sham-controlled trial. Supportive Care in Cancer. 26(2). 657–665. 21 indexed citations
4.
Day, Ryan W., Charles S. Cleeland, Xin S. Wang, et al.. (2015). Patient-Reported Outcomes Accurately Measure the Value of an Enhanced Recovery Program in Liver Surgery. Journal of the American College of Surgeons. 221(6). 1023–1030e2. 55 indexed citations
5.
Pan, Hubert Y., Pamela K. Allen, Xin S. Wang, et al.. (2014). Incidence and Predictive Factors of Pain Flare After Spine Stereotactic Body Radiation Therapy: Secondary Analysis of Phase 1/2 Trials. International Journal of Radiation Oncology*Biology*Physics. 90(4). 870–876. 48 indexed citations
6.
Kosturakis, Alyssa K., Cathy Eng, Gwen Wendelschafer‐Crabb, et al.. (2014). A Quantitative Sensory Analysis of Peripheral Neuropathy in Colorectal Cancer and Its Exacerbation by Oxaliplatin Chemotherapy. Cancer Research. 74(21). 5955–5962. 54 indexed citations
7.
Thong, Melissa S. Y., Floortje Mols, Xin S. Wang, et al.. (2013). Quantifying fatigue in (long-term) colorectal cancer survivors: A study from the population-based Patient Reported Outcomes Following Initial treatment and Long term Evaluation of Survivorship registry. European Journal of Cancer. 49(8). 1957–1966. 76 indexed citations
8.
Boyette-Davis, Jessica A., Cathy Eng, Xin S. Wang, et al.. (2012). Subclinical Peripheral Neuropathy Is a Common Finding in Colorectal Cancer Patients Prior to Chemotherapy. Clinical Cancer Research. 18(11). 3180–3187. 46 indexed citations
9.
Rosenthal, David I., Tito R. Mendoza, Mark S. Chambers, et al.. (2008). The M. D. Anderson Symptom Inventory–Head and Neck Module, a Patient-Reported Outcome Instrument, Accurately Predicts the Severity of Radiation-Induced Mucositis. International Journal of Radiation Oncology*Biology*Physics. 72(5). 1355–1361. 66 indexed citations
10.
Rosenthal, David I., Tito R. Mendoza, Mark S. Chambers, et al.. (2007). Measuring head and neck cancer symptom burden: The development and validation of the M. D. Anderson symptom inventory, head and neck module. Head & Neck. 29(10). 923–931. 220 indexed citations
11.
Ionova, Tatyana, Tito R. Mendoza, Hong Guo, et al.. (2007). Russian Brief Pain Inventory: Validation and Application in Cancer Pain. Journal of Pain and Symptom Management. 35(1). 95–102. 60 indexed citations
12.
Ionova, Tatyana, et al.. (2005). Cancer-Related Symptom Assessment in Russia: Validation and Utility of the Russian M. D. Anderson Symptom Inventory. Journal of Pain and Symptom Management. 30(5). 443–453. 46 indexed citations
13.
Giralt, Sergio, Charles S. Cleeland, James M. Reuben, et al.. (2005). Measuring Multiple Symptoms and Inflammatory Cytokines Related to Acute GVHD in AML/MDS Patients under Allogeneic BMT.. Blood. 106(11). 1426–1426. 1 indexed citations
14.
Wang, Xin S., Charles S. Cleeland, Tito R. Mendoza, et al.. (1999). The effects of pain severity on health-related quality of life: a study of Chinese cancer patients.. PubMed. 86(9). 1848–55. 105 indexed citations
15.
Wang, Xin S., Charles S. Cleeland, Tito R. Mendoza, et al.. (1999). The effects of pain severity on health-related quality of life. Cancer. 86(9). 1848–1855. 87 indexed citations
16.
Wang, Xin S., Charles S. Cleeland, Tito R. Mendoza, et al.. (1999). The effects of pain severity on health‐related quality of life. Cancer. 86(9). 1848–1855. 4 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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