Yanping Gong

1.6k total citations
54 papers, 1.1k citations indexed

About

Yanping Gong is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Yanping Gong has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Endocrinology, Diabetes and Metabolism and 17 papers in Surgery. Recurrent topics in Yanping Gong's work include Thyroid Cancer Diagnosis and Treatment (18 papers), Thyroid and Parathyroid Surgery (12 papers) and Cell death mechanisms and regulation (6 papers). Yanping Gong is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (18 papers), Thyroid and Parathyroid Surgery (12 papers) and Cell death mechanisms and regulation (6 papers). Yanping Gong collaborates with scholars based in China, United States and Russia. Yanping Gong's co-authors include Rixiang Gong, Jin Cheng, Qian Huang, Jingqiang Zhu, Chuan‐Yuan Li, Ling Tian, Zhengxiang Zhang, Zhihui Li, Feng Xiao and Sijia He and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yanping Gong

50 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanping Gong China 21 517 304 266 219 201 54 1.1k
Ki Cheol Park South Korea 23 673 1.3× 261 0.9× 195 0.7× 333 1.5× 184 0.9× 49 1.4k
Elisabeth D. Galsgaard Denmark 22 571 1.1× 594 2.0× 532 2.0× 435 2.0× 134 0.7× 36 1.5k
Krisztina Kisfalvi United States 14 792 1.5× 124 0.4× 352 1.3× 436 2.0× 211 1.0× 40 1.4k
Ulrich Sauer Germany 17 560 1.1× 145 0.5× 158 0.6× 119 0.5× 166 0.8× 22 1.1k
Kathy J. Carter United States 12 424 0.8× 160 0.5× 328 1.2× 274 1.3× 307 1.5× 13 1.2k
Tamar Rubinek Israel 23 671 1.3× 303 1.0× 118 0.4× 306 1.4× 233 1.2× 50 1.6k
Pierre Scotney Australia 15 553 1.1× 69 0.2× 87 0.3× 168 0.8× 107 0.5× 21 1.0k
Lisa Scandiuzzi United States 16 260 0.5× 119 0.4× 98 0.4× 377 1.7× 111 0.6× 22 1.2k
Marie‐Claude Beauchamp Canada 18 779 1.5× 239 0.8× 211 0.8× 386 1.8× 229 1.1× 28 1.2k

Countries citing papers authored by Yanping Gong

Since Specialization
Citations

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

Fields of papers citing papers by Yanping Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanping Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Yanping Gong. A scholar is included among the top collaborators of Yanping Gong 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 Yanping Gong. Yanping Gong 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.
Li, Genpeng, Wenjie Chen, Jing Huang, et al.. (2024). Circulating small extracellular vesicle-based miRNA classifier for follicular thyroid carcinoma: a diagnostic study. British Journal of Cancer. 130(6). 925–933. 5 indexed citations
2.
Yang, Jing, Rixiang Gong, Yu Ma, et al.. (2021). Case Report: A New Entity: Multiple Differentiated Variant of Papillary Thyroid Carcinoma With Advanced Clinical Behavior. Frontiers in Endocrinology. 12. 654638–654638.
3.
Gong, Yanping, Fan Zhang, Qian Huang, et al.. (2020). Absolute Counts of Peripheral Lymphocyte Subsets Correlate with the Progression-Free Survival and Metastatic Status of Pancreatic Neuroendocrine Tumour Patients. SHILAP Revista de lepidopterología.
4.
Gong, Yanping, et al.. (2020). Peroxiredoxin-1 Overexpression Attenuates Doxorubicin-Induced Cardiotoxicity by Inhibiting Oxidative Stress and Cardiomyocyte Apoptosis. Oxidative Medicine and Cellular Longevity. 2020. 1–11. 28 indexed citations
5.
6.
Cheng, Jin, Sijia He, Min Wang, et al.. (2019). The Caspase-3/PKCδ/Akt/VEGF-A Signaling Pathway Mediates Tumor Repopulation during Radiotherapy. Clinical Cancer Research. 25(12). 3732–3743. 38 indexed citations
7.
Zhang, Fan, Yanping Gong, Qian Huang, et al.. (2019). The CRP/Albumin Ratio Predicts Survival And Monitors Chemotherapeutic Effectiveness In Patients With Advanced Pancreatic Cancer. SHILAP Revista de lepidopterología. 2 indexed citations
8.
Yang, Jing, Yu Ma, Yanping Gong, et al.. (2019). Multiple Simultaneous Rare Distant Metastases as the Initial Presentation of Papillary Thyroid Carcinoma: A Case Report. Frontiers in Endocrinology. 10. 759–759. 10 indexed citations
9.
Wu, Wenshuang, Qian Zhou, Wanjun Zhao, et al.. (2018). Ginsenoside Rg3 Inhibition of Thyroid Cancer Metastasis Is Associated with Alternation of Actin Skeleton. Journal of Medicinal Food. 21(9). 849–857. 37 indexed citations
10.
Su, Anping, Yanping Gong, Tao Wei, et al.. (2018). A new classification of parathyroid glands to evaluate in situ preservation or autotransplantation during thyroid surgery. Medicine. 97(48). e13231–e13231. 20 indexed citations
11.
Gong, Yanping, Jing Yang, Anping Su, et al.. (2018). Pattern of and clinicopathologic risk factors for lateral lymph node metastases in papillary thyroid carcinoma patients with lateral cervical lymphadenopathy. Medicine. 97(36). e12263–e12263. 23 indexed citations
12.
Gong, Yanping, Genpeng Li, Jianyong Lei, et al.. (2018). A favorable tumor size to define papillary thyroid microcarcinoma: an analysis of 1176 consecutive cases. Cancer Management and Research. Volume 10. 899–906. 13 indexed citations
13.
Gong, Yanping, Jing Yang, Wenshuang Wu, et al.. (2018). Preserved SCN4B expression is an independent indicator of favorable recurrence-free survival in classical papillary thyroid cancer. PLoS ONE. 13(5). e0197007–e0197007. 20 indexed citations
14.
Wang, Xiaofei, Jingqiang Zhu, Feng Liu, Yanping Gong, & Zhihui Li. (2017). Postoperative hypomagnesaemia is not associated with hypocalcemia in thyroid cancer patients undergoing total thyroidectomy plus central compartment neck dissection. International Journal of Surgery. 39. 192–196. 7 indexed citations
15.
Wang, Xun‐Li, Hong Peng, Yundan Liang, et al.. (2015). A Functional Insertion/Deletion Polymorphism in the Promoter Region of the NFKB1 Gene Increases the Risk of Papillary Thyroid Carcinoma. Genetic Testing and Molecular Biomarkers. 19(3). 167–171. 16 indexed citations
16.
17.
Wei, Tao, Zhihui Li, Judy Jin, et al.. (2014). Autotransplantation of Inferior Parathyroid glands during central neck dissection for papillary thyroid carcinoma: A retrospective cohort study. International Journal of Surgery. 12(12). 1286–1290. 37 indexed citations
18.
Cheng, Jin, Ling Tian, Jingjing Ma, et al.. (2014). Dying tumor cells stimulate proliferation of living tumor cells via caspase‐dependent protein kinase Cδ activation in pancreatic ductal adenocarcinoma. Molecular Oncology. 9(1). 105–114. 72 indexed citations
19.
20.
Perepelov, Andrei V., Quan Wang, Sof’ya N. Senchenkova, et al.. (2012). Structure and gene cluster of the O-antigen of Escherichia coli O102. Carbohydrate Research. 361. 73–77. 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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