Jingyan Tang

2.1k total citations
52 papers, 558 citations indexed

About

Jingyan Tang is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Neurology. According to data from OpenAlex, Jingyan Tang has authored 52 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Public Health, Environmental and Occupational Health, 14 papers in Pediatrics, Perinatology and Child Health and 12 papers in Neurology. Recurrent topics in Jingyan Tang's work include Acute Lymphoblastic Leukemia research (20 papers), Childhood Cancer Survivors' Quality of Life (14 papers) and Neuroblastoma Research and Treatments (8 papers). Jingyan Tang is often cited by papers focused on Acute Lymphoblastic Leukemia research (20 papers), Childhood Cancer Survivors' Quality of Life (14 papers) and Neuroblastoma Research and Treatments (8 papers). Jingyan Tang collaborates with scholars based in China, United States and Hong Kong. Jingyan Tang's co-authors include Ci Pan, Hui-liang Xue, Shuhong Shen, Jim Piper, Ji Liang, Yijin Gao, Jing Chen, Long-Jun Gu, Yanjing Tang and Xiang Wang and has published in prestigious journals such as Blood, IEEE Access and Medicine.

In The Last Decade

Jingyan Tang

51 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingyan Tang China 13 177 167 136 110 75 52 558
Hiroko Fukushima Japan 15 149 0.8× 94 0.6× 63 0.5× 102 0.9× 88 1.2× 89 651
Zhongming Yang China 10 193 1.1× 196 1.2× 98 0.7× 18 0.2× 54 0.7× 23 1.5k
Maria Teresa Ferrò Spain 13 170 1.0× 60 0.4× 231 1.7× 21 0.2× 79 1.1× 45 618
Jing Pan China 13 169 1.0× 70 0.4× 61 0.4× 41 0.4× 542 7.2× 50 816
Richa Sharma India 12 85 0.5× 33 0.2× 36 0.3× 60 0.5× 32 0.4× 73 424
Tanja Heller Germany 11 213 1.2× 33 0.2× 38 0.3× 46 0.4× 47 0.6× 15 573
Patricia A. Shi United States 17 159 0.9× 53 0.3× 660 4.9× 133 1.2× 74 1.0× 64 1.1k
Wentao Yang China 10 82 0.5× 57 0.3× 22 0.2× 27 0.2× 68 0.9× 44 321
JC Lee United States 14 193 1.1× 28 0.2× 253 1.9× 15 0.1× 242 3.2× 36 846
Neeraj Saini United States 13 88 0.5× 43 0.3× 103 0.8× 18 0.2× 233 3.1× 49 416

Countries citing papers authored by Jingyan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Jingyan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyan Tang. A scholar is included among the top collaborators of Jingyan 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 Jingyan Tang. Jingyan Tang 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.
Tang, Jingyan, et al.. (2023). A Dynamic and Static Binary Translation Method Based on Branch Prediction. Electronics. 12(14). 3025–3025. 1 indexed citations
2.
Wang, Hongsheng, Ju Gao, Minghua Yang, et al.. (2023). Venous thromboembolism in children with acute lymphoblastic leukemia in China: a report from the Chinese Children’s Cancer Group-ALL-2015. Frontiers of Medicine. 17(3). 518–526. 2 indexed citations
3.
Li, Lu, Jingyan Tang, Jingrong Shi, et al.. (2022). High titers of neutralizing antibodies in the blood fail to eliminate SARS‐CoV‐2 viral RNA in the upper respiratory tract. Journal of Medical Virology. 95(1). e28219–e28219. 1 indexed citations
4.
5.
Hu, Shaoyan, Xiaoming Liu, Xiaofan Zhu, et al.. (2021). Cytogenetic Characteristics of Childhood Acute Lymphoblastic Leukemia: A Study of 1541 Chinese Patients Newly Diagnosed between 2001 and 2014. Current Medical Science. 42(1). 201–209. 2 indexed citations
6.
Wan, Xinyu, Xiaomin Yang, Fan Yang, et al.. (2021). Outcomes of Anti-CD19 CAR-T Treatment of Pediatric B-ALL with Bone Marrow and Extramedullary Relapse. Cancer Research and Treatment. 54(3). 917–925. 10 indexed citations
7.
Tang, Jingyan & Ching‐Hon Pui. (2021). The International Collaboration to Save Children With Cancer. JAMA Oncology. 7(4). 499–499. 4 indexed citations
8.
Song, Lili, Bo Yu, Yi Yang, et al.. (2020). Identification of functional cooperative mutations of GNAO1 in human acute lymphoblastic leukemia. Blood. 137(9). 1181–1191. 18 indexed citations
9.
Xie, Yangyang, Li Gao, Chunhui Xu, et al.. (2019). ARHGEF12 regulates erythropoiesis and is involved in erythroid regeneration after chemotherapy in acute lymphoblastic leukemia patients. Haematologica. 105(4). 925–936. 20 indexed citations
10.
Pan, Ci, et al.. (2019). Association of image-defined risk factors, tumor resectability, and prognosis in children with localized neuroblastoma. World Journal of Pediatrics. 15(6). 572–579. 23 indexed citations
11.
Cai, Mengxin, Tianyi Wang, Ci Pan, et al.. (2019). Investigating the potential benefit of second biopsy of residual mass in pediatric mature B cell non-Hodgkin lymphoma. Pediatric Hematology and Oncology. 36(2). 113–121.
12.
Gao, Yijin, Jingyan Tang, Shiann‐Tarng Jou, et al.. (2019). Clinical Characteristics and Treatment Outcomes of Pediatric Patients with Non-Hodgkin Lymphoma in East Asia. Cancer Research and Treatment. 52(2). 359–368. 4 indexed citations
13.
Zhao, Jie, Jianwei Liang, Hui-liang Xue, et al.. (2018). The genetics and clinical characteristics of children morphologically diagnosed as acute promyelocytic leukemia. Leukemia. 33(6). 1387–1399. 46 indexed citations
14.
Liu, Yin, Jingyan Tang, Hui-liang Xue, et al.. (2014). High-Resolution Melting Curve Analysis, a Rapid and Affordable Method for Mutation Analysis in Childhood Acute Myeloid Leukemia. Frontiers in Pediatrics. 2. 96–96. 9 indexed citations
15.
Wang, Xiang, Jingyan Tang, Hui-liang Xue, et al.. (2012). Early T-cell precursor leukemia: a subtype of high risk childhood acute lymphoblastic leukemia. Frontiers of Medicine. 6(4). 416–420. 65 indexed citations
16.
He, Yingyi, Benshang Li, Jing Chen, et al.. (2011). Asparagine synthetase is partially localized to the plasma membrane and upregulated by L-asparaginase in U937 cells. Journal of Huazhong University of Science and Technology [Medical Sciences]. 31(2). 159–163. 4 indexed citations
17.
18.
You, Yang, Xingming Jin, Chonghuai Yan, et al.. (2008). Case-only study of interactions between DNA repair genes (hMLH1,APEX1,MGMT,XRCC1andXPD) and low-frequency electromagnetic fields in childhood acute leukemia. Leukemia & lymphoma. 49(12). 2344–2350. 34 indexed citations
19.
Tang, Jingyan, et al.. (2005). [Failure of treatment and protocol compliance in patients with acute lymphoblastic leukemia].. PubMed. 43(7). 490–3. 5 indexed citations
20.
Tang, Jingyan, et al.. (2002). Telomerase Activity and Its Correlation with the Proliferative Potential of Bone Marrow in Aplastic Anemia in Children. Acta Haematologica. 107(4). 208–212. 6 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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