Bin Cong

547 total citations
35 papers, 416 citations indexed

About

Bin Cong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Bin Cong has authored 35 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Bin Cong's work include Ferroptosis and cancer prognosis (6 papers), RNA modifications and cancer (5 papers) and MicroRNA in disease regulation (4 papers). Bin Cong is often cited by papers focused on Ferroptosis and cancer prognosis (6 papers), RNA modifications and cancer (5 papers) and MicroRNA in disease regulation (4 papers). Bin Cong collaborates with scholars based in China and Japan. Bin Cong's co-authors include Chunling Ma, Shujin Li, Lihong Fu, Xiaojing Zhang, Lu Chen, Guangping Fu, Qingqing Du, Yingmin Li, Xin‐Qiang Lu and Ning Wu and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Experimental Cell Research.

In The Last Decade

Bin Cong

29 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Cong China 11 289 63 48 42 35 35 416
Ming Ge United States 13 245 0.8× 50 0.8× 55 1.1× 47 1.1× 76 2.2× 21 464
Stefania Zampatti Italy 14 277 1.0× 79 1.3× 22 0.5× 21 0.5× 92 2.6× 45 641
Carme Gubern Spain 12 217 0.8× 37 0.6× 24 0.5× 89 2.1× 27 0.8× 22 426
Viktoriya Peeva Germany 10 488 1.7× 61 1.0× 52 1.1× 22 0.5× 28 0.8× 15 588
Peng Yi China 10 188 0.7× 83 1.3× 15 0.3× 32 0.8× 48 1.4× 22 336
Igor L. Leskov United States 9 188 0.7× 31 0.5× 26 0.5× 31 0.7× 20 0.6× 10 404
Hisashi Koide Japan 14 170 0.6× 43 0.7× 139 2.9× 39 0.9× 42 1.2× 40 633
Grigor Varuzhanyan United States 7 381 1.3× 60 1.0× 47 1.0× 21 0.5× 44 1.3× 8 483
Marina Tarsitano Italy 10 131 0.5× 34 0.5× 69 1.4× 15 0.4× 31 0.9× 16 313
Rosa Ferrando-Miguel Austria 9 254 0.9× 64 1.0× 10 0.2× 24 0.6× 45 1.3× 12 420

Countries citing papers authored by Bin Cong

Since Specialization
Citations

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

Fields of papers citing papers by Bin Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Cong. A scholar is included among the top collaborators of Bin Cong 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 Bin Cong. Bin Cong 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.
Song, Huifang, Jing Liu, Liu Q, et al.. (2025). The potential of mRNA markers in body fluids and personal source analysis based on the QNome nanopore sequencing. International Journal of Legal Medicine. 140(1). 123–136.
2.
Liu, Minghao, et al.. (2025). Decoding gelsenicine-induced neurotoxicity in mice via metabolomics and network toxicology. Phytomedicine. 142. 156753–156753.
3.
Wang, Zhen, Xiaoying Ma, Weibo Shi, et al.. (2025). The Gut Microbiota Metabolite Butyrate Modulates Acute Stress-Induced Ferroptosis in the Prefrontal Cortex via the Gut–Brain Axis. International Journal of Molecular Sciences. 26(4). 1698–1698. 5 indexed citations
4.
Li, Yaping, Xia Liu, Huaxing Zhang, et al.. (2025). Single-nucleus profiling of the left ventricle of the mouse heart after chronic stress. Scientific Data. 12(1). 1205–1205. 1 indexed citations
5.
Liu, Yichang, Li Wang, Chuan Wang, et al.. (2024). The effects of restraint stress on ceramide metabolism disorders in the rat liver: the role of CerS6 in hepatocyte injury. Lipids in Health and Disease. 23(1). 68–68. 1 indexed citations
6.
Liu, Xiangdong, Junyan Wang, Yingmin Li, et al.. (2024). A bibliometric analysis of light chain amyloidosis from 2005 to 2024: research trends and hot spots. Frontiers in Medicine. 11. 1441032–1441032. 1 indexed citations
7.
Liu, Xinan, et al.. (2024). Fundamental role of brain-organ interaction in behavior-driven holistic homeostasis. Fundamental Research. 5(6). 2626–2638.
8.
Zhang, Minglong, Yixiao Luo, Jian Wang, et al.. (2023). Roles of nucleus accumbens shell small-conductance calcium-activated potassium channels in the conditioned fear freezing. Journal of Psychiatric Research. 163. 180–194. 5 indexed citations
9.
Li, Yingmin, Meili Li, Jingmin Liu, et al.. (2023). Bioinformatics Analysis of Molecular Interactions between Endoplasmic Reticulum Stress and Ferroptosis under Stress Exposure. Analytical Cellular Pathology. 2023(1). 9979291–9979291. 8 indexed citations
10.
Wang, Feifei, Bin Yu, Guanglin Wang, et al.. (2023). NOP58 induction potentiates chemoresistance of colorectal cancer cells through aerobic glycolysis as evidenced by proteomics analysis. Frontiers in Pharmacology. 14. 1295422–1295422. 3 indexed citations
11.
Zhang, Shengnan, Yingmin Li, Lihua Zhang, et al.. (2023). Endoplasmic reticulum stress induced by turbulence of mitochondrial fusion and fission was involved in stressed cardiomyocyte injury. Journal of Cellular and Molecular Medicine. 27(21). 3313–3325. 5 indexed citations
12.
Wang, Junyan, et al.. (2022). The estimation of bloodstain age utilizing circRNAs and mRNAs biomarkers. Forensic Science International. 338. 111408–111408. 10 indexed citations
13.
Cong, Bin & Lixin Wang. (2018). Low-order equivalent matching methods for aircraft with flying wings. Beijing Hangkong Hangtian Daxue xuebao. 44(2). 286.
14.
Cong, Bin & Lixin Wang. (2017). Crosswind take-off and landing characteristics of flying wings. Beijing Hangkong Hangtian Daxue xuebao. 43(5). 1023. 2 indexed citations
15.
Ye, Xing, Junyi Lin, Zebin Lin, et al.. (2017). Axin1 up-regulated 1 accelerates stress-induced cardiomyocytes apoptosis through activating Wnt/β-catenin signaling. Experimental Cell Research. 359(2). 441–448. 28 indexed citations
16.
Shi, Weibo, Chunling Ma, Qi Qian, et al.. (2015). The effect of different durations of morphine exposure on mesencephalic dopaminergic neurons in morphine dependent rats. NeuroToxicology. 51. 51–57. 4 indexed citations
17.
Bi, Haitao, et al.. (2013). Immunohistochemical detection of S100A1 in the postmortem diagnosis of acute myocardial infarction. Diagnostic Pathology. 8(1). 84–84. 33 indexed citations
18.
Li, Yingmin, Bin Cong, Chunling Ma, et al.. (2010). Expression of Nurr1 during rat brain and spinal cord development. Neuroscience Letters. 488(1). 49–54. 14 indexed citations
19.
Li, Fei, Ning Wu, Ruibin Su, et al.. (2006). Involvement of phosphatidylcholine‐selective phospholipase C in activation of mitogen‐activated protein kinase pathways in imidazoline receptor antisera‐selected protein. Journal of Cellular Biochemistry. 98(6). 1615–1628. 33 indexed citations
20.
Wu, Ning, Ruibin Su, Yin Liu, et al.. (2006). Modulation of agmatine on calcium signal in morphine-dependent CHO cells by activation of IRAS, a candidate for imidazoline I1 receptor. European Journal of Pharmacology. 548(1-3). 21–28. 17 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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