Sanli Jin

611 total citations
31 papers, 412 citations indexed

About

Sanli Jin is a scholar working on Physiology, Otorhinolaryngology and Oncology. According to data from OpenAlex, Sanli Jin has authored 31 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 10 papers in Otorhinolaryngology and 8 papers in Oncology. Recurrent topics in Sanli Jin's work include Nutrition and Health in Aging (11 papers), Head and Neck Cancer Studies (10 papers) and Dysphagia Assessment and Management (6 papers). Sanli Jin is often cited by papers focused on Nutrition and Health in Aging (11 papers), Head and Neck Cancer Studies (10 papers) and Dysphagia Assessment and Management (6 papers). Sanli Jin collaborates with scholars based in China, Ethiopia and United States. Sanli Jin's co-authors include Qian Lü, Dong Pang, Ping Yang, Lichuan Zhang, Shuai Jin, Yujie Wang, Yujie Zhou, Baomin Zheng, Shaowen Xiao and Yan Sun and has published in prestigious journals such as Journal of Pain and Symptom Management, Head & Neck and Supportive Care in Cancer.

In The Last Decade

Sanli Jin

30 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanli Jin China 12 164 119 112 60 59 31 412
Ju Hyun Lee South Korea 14 45 0.3× 74 0.6× 82 0.7× 113 1.9× 22 0.4× 23 638
Kang‐Ping Zhang China 12 139 0.8× 335 2.8× 96 0.9× 42 0.7× 11 0.2× 21 466
Claribel Simmons United Kingdom 9 257 1.6× 150 1.3× 75 0.7× 120 2.0× 14 0.2× 10 492
Jane Read Australia 9 239 1.5× 408 3.4× 118 1.1× 93 1.6× 92 1.6× 12 684
Carla Alberici Pastore Brazil 9 131 0.8× 267 2.2× 61 0.5× 48 0.8× 29 0.5× 21 417
M P Blanc-Vincent France 11 114 0.7× 119 1.0× 67 0.6× 56 0.9× 17 0.3× 32 350
Jan Foubert Belgium 7 263 1.6× 90 0.8× 74 0.7× 99 1.6× 15 0.3× 14 790
M.-N. Falewee France 8 128 0.8× 423 3.6× 194 1.7× 112 1.9× 121 2.1× 13 726
Alonso Carrasco United States 10 122 0.7× 250 2.1× 316 2.8× 183 3.0× 4 0.1× 39 675
Sophie Léobon France 13 308 1.9× 142 1.2× 84 0.8× 87 1.4× 26 0.4× 30 502

Countries citing papers authored by Sanli Jin

Since Specialization
Citations

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

Fields of papers citing papers by Sanli Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanli Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Sanli Jin. A scholar is included among the top collaborators of Sanli Jin 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 Sanli Jin. Sanli Jin 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.
2.
Xiao, Shaowen, Lichuan Zhang, Yujie Wang, et al.. (2022). Association between body composition and survival in head and neck cancer patients undergoing radiotherapy. Head & Neck. 44(9). 2046–2054. 5 indexed citations
3.
Jin, Shuai, Dan Qin, Lichuan Zhang, et al.. (2022). Machine learning predicts cancer-associated deep vein thrombosis using clinically available variables. International Journal of Medical Informatics. 161. 104733–104733. 50 indexed citations
4.
Zhang, Liyan, et al.. (2021). Effectiveness of palliative care simulation in newly hired oncology nurses’ training. Asia-Pacific Journal of Oncology Nursing. 9(3). 167–173. 8 indexed citations
5.
Ding, Yanming, Qian Lü, Sanli Jin, et al.. (2021). Routine replacement versus replacement as clinical indicated of peripheral intravenous catheters: A multisite randomised controlled trial. Journal of Clinical Nursing. 31(19-20). 2959–2970. 7 indexed citations
6.
7.
Wei, Xiaoxia, Qian Lü, Sanli Jin, et al.. (2021). Developing and validating a prediction model for lymphedema detection in breast cancer survivors. European Journal of Oncology Nursing. 54. 102023–102023. 26 indexed citations
8.
Lü, Qian, Lichuan Zhang, Yujie Wang, et al.. (2021). The prevalence of sarcopenia and relationships between dietary intake and muscle mass in head and neck cancer patients undergoing radiotherapy: A longitudinal study. European Journal of Oncology Nursing. 53. 101943–101943. 8 indexed citations
9.
Jin, Sanli, et al.. (2021). Preoperative physical exercise strategies for patients undergoing major abdominal cancer surgery: a scoping review. Supportive Care in Cancer. 29(11). 7057–7071. 5 indexed citations
10.
Wang, Yujie, Lichuan Zhang, Shuai Jin, et al.. (2020). Swallowing functional outcomes and nutritional status in head and neck cancer radiotherapy: longitudinal study. BMJ Supportive & Palliative Care. 10(4). 452–461. 10 indexed citations
11.
Wang, Yujie, Qian Lü, Lichuan Zhang, et al.. (2020). Nutrition Impact Symptom Clusters in Patients With Head and Neck Cancer Receiving Concurrent Chemoradiotherapy. Journal of Pain and Symptom Management. 62(2). 277–285. 18 indexed citations
12.
Zhang, Lichuan, Yujie Wang, Sanli Jin, et al.. (2020). Body composition and dietary intake in patients with head and neck cancer during radiotherapy: a longitudinal study. BMJ Supportive & Palliative Care. 13(4). 445–452. 6 indexed citations
13.
Liu, Fei, Fenglian Li, Mei R. Fu, et al.. (2020). Self-management Strategies for Risk Reduction of Subclinical and Mild Stage of Breast Cancer–Related Lymphedema. Cancer Nursing. 44(6). E493–E502. 15 indexed citations
14.
Wang, Yujie, Lichuan Zhang, Qian Lü, et al.. (2020). Validation of the Chinese version of chemotherapy-induced Taste Alteration Scale among patients with head and neck cancer undergoing radiotherapy. European Journal of Oncology Nursing. 48. 101818–101818. 3 indexed citations
15.
Jin, Sanli, Minghua Cong, Lichuan Zhang, et al.. (2019). Validation of a simple diet self-assessment tool (SDSAT) in head and neck cancer patients undergoing radiotherapy. European Journal of Oncology Nursing. 44. 101702–101702. 8 indexed citations
16.
Li, Fenglian, Qian Lü, Sanli Jin, et al.. (2019). A scoring system for predicting the risk of breast cancer-related lymphedema. International Journal of Nursing Sciences. 7(1). 21–28. 18 indexed citations
17.
Chen, Yu, Min Li, Xinwang Duan, et al.. (2018). Chinese registry of rheumatoid arthritis (CREDIT): I. Introduction and prevalence of remission in Chinese patients with rheumatoid arthritis.. PubMed. 36(5). 836–840. 32 indexed citations
18.
19.
Pang, Dong, et al.. (2016). Development and validation of the Bowel Symptoms Self-management Behaviors Questionnaire for rectal cancer patients after sphincter preserving surgery. Zhonghua huli zazhi. 51(9). 1059–1063. 1 indexed citations
20.
Jin, Sanli. (2009). Investigations on Contributing Factors to Strain Level of Main Caregivers for In-hospital Stroke Patients. 1 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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