Sha Tang

810 total citations
11 papers, 335 citations indexed

About

Sha Tang is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Sha Tang has authored 11 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Immunology. Recurrent topics in Sha Tang's work include Cardiovascular Function and Risk Factors (3 papers), Cardiomyopathy and Myosin Studies (2 papers) and Neurological diseases and metabolism (1 paper). Sha Tang is often cited by papers focused on Cardiovascular Function and Risk Factors (3 papers), Cardiomyopathy and Myosin Studies (2 papers) and Neurological diseases and metabolism (1 paper). Sha Tang collaborates with scholars based in China and United States. Sha Tang's co-authors include Shengsong Tang, Qian Ning, Zhongcheng Mo, Taosheng Huang, Eric S. Ebenroth, Yu Zhang, Anjan S. Batra, Lin Yuan, Shuangyan Wu and Chi Liu and has published in prestigious journals such as Medicine, Clinical & Experimental Immunology and International Immunopharmacology.

In The Last Decade

Sha Tang

11 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sha Tang China 7 136 72 64 56 55 11 335
Wenman Wu China 12 155 1.1× 42 0.6× 40 0.6× 56 1.0× 35 0.6× 69 539
Kazuhiro Asano Japan 11 136 1.0× 118 1.6× 58 0.9× 24 0.4× 42 0.8× 36 423
Ruaa Al‐Qazazi Canada 7 151 1.1× 63 0.9× 18 0.3× 125 2.2× 64 1.2× 9 310
Haley M. Scott United States 5 250 1.8× 105 1.5× 16 0.3× 24 0.4× 16 0.3× 5 340
Luxi Sun China 10 266 2.0× 69 1.0× 51 0.8× 57 1.0× 10 0.2× 18 507
Jordyn J. VanPortfliet United States 4 223 1.6× 113 1.6× 22 0.3× 27 0.5× 10 0.2× 6 323
Limin Xing China 13 140 1.0× 268 3.7× 104 1.6× 21 0.4× 11 0.2× 103 631
Chunju Fang China 9 227 1.7× 227 3.2× 55 0.9× 59 1.1× 10 0.2× 14 420

Countries citing papers authored by Sha Tang

Since Specialization
Citations

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

Fields of papers citing papers by Sha Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Tang. A scholar is included among the top collaborators of Sha Tang 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 Sha Tang. Sha Tang 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.
Liu, Zhenyu, Xueqin Li, Hong Wang, et al.. (2022). Increased circulating PD-1hiCXCR5− peripheral T helper cells are associated with disease activity of ANCA-associated vasculitis. Clinical & Experimental Immunology. 207(3). 287–296. 9 indexed citations
3.
Tang, Sha, Sha Tang, Qian Ning, et al.. (2020). Mechanisms of immune escape in the cancer immune cycle. International Immunopharmacology. 86. 106700–106700. 122 indexed citations
4.
Zhang, Ying, Xiaohan Ding, Yiqin Wang, et al.. (2020). The Prevalence of Pulmonary Hypertension Among Maintenance Dialysis Patients With ESRD and Its Associated Factors: A Retrospective Study. Frontiers in Medicine. 7. 570874–570874. 13 indexed citations
5.
Chen, Xiaofeng, Hua Li, Zhenhua Feng, Sha Tang, & Lei Song. (2019). Relationship between geometric changes in mitral annular/leaflets and mitral regurgitation in patients with atrial fibrillation. Medicine. 98(4). e14090–e14090. 2 indexed citations
6.
Hall, Katherine, et al.. (2019). Homozygous B4GALNT1 mutation and biochemical glutaric acidemia type II: A case report. Clinical Neurology and Neurosurgery. 189. 105553–105553. 4 indexed citations
7.
Du, Xizi, Leyuan Wang, Shuangyan Wu, et al.. (2019). Efficacy of probiotic supplementary therapy for asthma, allergic rhinitis, and wheeze: a meta-analysis of randomized controlled trials. Allergy and Asthma Proceedings. 40(4). 250–260. 59 indexed citations
8.
He, Ting, et al.. (2016). Rituximab shows no effect on remission in patients with refractory nephrotic syndrome. Medicine. 95(50). e5320–e5320. 4 indexed citations
9.
Tang, Sha, Russell S. Miller, Luis Rohena, et al.. (2015). New Insights into the Genetics of Fetal Megacystis: ACTG2 Mutations, Encoding γ-2 Smooth Muscle Actin in Megacystis Microcolon Intestinal Hypoperistalsis Syndrome (Berdon Syndrome). Fetal Diagnosis and Therapy. 38(4). 296–306. 40 indexed citations
10.
Tang, Sha, Blair Stevens, Ganka Douglas, et al.. (2012). Characterization of a recurrent 3.8kb deletion involving exons 17a and 17b within the CFTR gene. Journal of Cystic Fibrosis. 12(3). 290–294. 6 indexed citations
11.
Tang, Sha, Anjan S. Batra, Yu Zhang, Eric S. Ebenroth, & Taosheng Huang. (2010). Left ventricular noncompaction is associated with mutations in the mitochondrial genome. Mitochondrion. 10(4). 350–357. 75 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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2026