Lingping Kong

2.3k total citations
26 papers, 781 citations indexed

About

Lingping Kong is a scholar working on Plant Science, Molecular Biology and Cancer Research. According to data from OpenAlex, Lingping Kong has authored 26 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 10 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Lingping Kong's work include Legume Nitrogen Fixing Symbiosis (10 papers), Soybean genetics and cultivation (10 papers) and Cancer-related molecular mechanisms research (5 papers). Lingping Kong is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (10 papers), Soybean genetics and cultivation (10 papers) and Cancer-related molecular mechanisms research (5 papers). Lingping Kong collaborates with scholars based in China, United States and Japan. Lingping Kong's co-authors include Yu Ren, Xuan Zhou, Lun Zhang, Guoshuai Cai, Xudong Wang, Tingting Zhang, Su Liu, Mei Mei, Yansheng Wu and Fanjiang Kong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Current Biology and Scientific Reports.

In The Last Decade

Lingping Kong

25 papers receiving 779 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingping Kong China 16 473 349 213 88 44 26 781
Guo‐Jian Liu China 11 377 0.8× 346 1.0× 73 0.3× 52 0.6× 6 0.1× 17 565
Y Goto Japan 12 292 0.6× 86 0.2× 244 1.1× 171 1.9× 22 0.5× 30 651
Jiansheng Wang China 13 194 0.4× 59 0.2× 208 1.0× 57 0.6× 23 0.5× 34 498
Feifei Yuan China 14 260 0.5× 85 0.2× 186 0.9× 94 1.1× 12 0.3× 29 661
Long Zhao China 14 424 0.9× 215 0.6× 56 0.3× 88 1.0× 8 0.2× 40 650
Xinhua Yang China 15 431 0.9× 194 0.6× 265 1.2× 120 1.4× 5 0.1× 32 754
Peng Guo China 13 164 0.3× 163 0.5× 37 0.2× 44 0.5× 17 0.4× 37 386
Richa Bajpai United States 10 424 0.9× 169 0.5× 37 0.2× 113 1.3× 3 0.1× 21 602

Countries citing papers authored by Lingping Kong

Since Specialization
Citations

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

Fields of papers citing papers by Lingping Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingping Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Lingping Kong. A scholar is included among the top collaborators of Lingping Kong 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 Lingping Kong. Lingping Kong 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.
Liu, Ling, et al.. (2024). Global trends and hotspots of ChatGPT in medical research: a bibliometric and visualized study. Frontiers in Medicine. 11. 1406842–1406842. 6 indexed citations
2.
Kong, Lingping, Ping Zhou, Zhihao Yang, et al.. (2024). An engineered DNA aptamer-based PROTAC for precise therapy of p53-R175H hotspot mutant-driven cancer. Science Bulletin. 69(13). 2122–2135. 22 indexed citations
3.
Kong, Lingping, Jing Wang, Xiaochen Chen, et al.. (2023). Nomogram for predicting opioid-induced nausea and vomiting for cancer pain patients. Supportive Care in Cancer. 31(11). 663–663.
4.
Zhang, Mingzhu, Mengyuan Jiang, Lingping Kong, et al.. (2023). Lyonensinols A – C, 24-Norursane-Type Triterpenoids from the Twigs and Leaves of Lyonia doyonensis and Their Potential Anti-inflammatory and PTP1B Inhibitory Activities. Planta Medica. 89(12). 1170–1177. 1 indexed citations
5.
Lv, Tianxiao, Lingshuang Wang, Chunyu Zhang, et al.. (2022). Identification of two quantitative genes controlling soybean flowering using bulked-segregant analysis and genetic mapping. Frontiers in Plant Science. 13. 987073–987073. 5 indexed citations
6.
Dong, Lidong, Shichen Li, Lingshuang Wang, et al.. (2022). The genetic basis of high-latitude adaptation in wild soybean. Current Biology. 33(2). 252–262.e4. 31 indexed citations
7.
Ma, Qing, et al.. (2022). Case Report: Dramatic Response to Crizotinib in a Patient With Non-Small Cell Lung Cancer Positive for a Novel ARL1-MET Fusion. Frontiers in Oncology. 12. 804330–804330. 10 indexed citations
8.
Dong, Lidong, Shichen Li, Qun Cheng, et al.. (2022). The Genetic Basis of High-Latitude Adaptation in Wild Soybean. SSRN Electronic Journal. 5 indexed citations
9.
Qin, Qiong, Boning Liu, Xiaoqing Li, et al.. (2021). Targeting DNA-PK overcomes acquired resistance to third-generation EGFR-TKI osimertinib in non-small-cell lung cancer. Acta Pharmacologica Sinica. 42(4). 648–654. 17 indexed citations
10.
Xie, Wen-Rui, Ran Zhang, Li‐Hao Wu, et al.. (2021). Effects of Washed Microbiota Transplantation on Serum Uric Acid Levels, Symptoms, and Intestinal Barrier Function in Patients with Acute and Recurrent Gout: A Pilot Study. Digestive Diseases. 40(5). 684–690. 34 indexed citations
11.
Su, Tong, Yanping Wang, Shichen Li, et al.. (2021). A flowering time locus dependent on E2 in soybean. Molecular Breeding. 41(5). 35–35. 5 indexed citations
12.
Zhao, Minghui, Xiaomeng Hu, Yini Xu, et al.. (2019). Targeting of EZH2 inhibits epithelial‑mesenchymal transition in head and neck squamous cell carcinoma via regulating the STAT3/VEGFR2 axis. International Journal of Oncology. 55(5). 1165–1175. 25 indexed citations
13.
Li, Zhaoqing, Tingting Zhu, Yini Xu, et al.. (2019). A novel STAT3 inhibitor, HJC0152, exerts potent antitumor activity in glioblastoma.. PubMed. 9(4). 699–713. 15 indexed citations
14.
Kong, Lingping, et al.. (2018). Calycosin inhibits nasopharyngeal carcinoma cells by influencing EWSAT1 expression to regulate the TRAF6-related pathways. Biomedicine & Pharmacotherapy. 106. 342–348. 27 indexed citations
15.
Li, Xiao‐Ming, Chao Fang, Meilan Xu, et al.. (2017). Quantitative Trait Locus Mapping of Soybean Maturity Gene E6. Crop Science. 57(5). 2547–2554. 26 indexed citations
16.
Takeshima, Ryoma, Takafumi Hayashi, Jianghui Zhu, et al.. (2016). A soybean quantitative trait locus that promotes flowering under long days is identified asFT5a, aFLOWERING LOCUS Tortholog. Journal of Experimental Botany. 67(17). 5247–5258. 50 indexed citations
17.
Zhou, Xuan, Su Liu, Guoshuai Cai, et al.. (2015). Long Non Coding RNA MALAT1 Promotes Tumor Growth and Metastasis by inducing Epithelial-Mesenchymal Transition in Oral Squamous Cell Carcinoma. Scientific Reports. 5(1). 15972–15972. 198 indexed citations
18.
Zhou, Xuan, Yu Ren, Jing Zhang, et al.. (2015). HOTAIR is a therapeutic target in glioblastoma. Oncotarget. 6(10). 8353–8365. 106 indexed citations
19.
Kong, Yan, Lingping Kong, Tao Luo, et al.. (2014). The Protective Effects of Crocetin on A&#946;<sub>1-42</sub>-Induced Toxicity in Ht22 Cells. CNS & Neurological Disorders - Drug Targets. 13(9). 1627–1632. 22 indexed citations
20.
Zhou, Xuan, Yu Ren, Aiqin Liu, et al.. (2014). WP1066 Sensitizes Oral Squamous Cell Carcinoma Cells to Cisplatin by Targeting STAT3/miR-21 axis. Scientific Reports. 4(1). 7461–7461. 43 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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