Haihong Wang

878 total citations
30 papers, 670 citations indexed

About

Haihong Wang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Haihong Wang has authored 30 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Haihong Wang's work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Haihong Wang is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Haihong Wang collaborates with scholars based in China, United States and Ireland. Haihong Wang's co-authors include John E. Cronan, Zhanxin Jing, Sun Xiao, Da‐Wen Sun, Xue Dong, Weisheng Liu, Li Wang, Xiaoliang Tang, Qingxin Han and Zhe Dong and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Chemistry.

In The Last Decade

Haihong Wang

27 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haihong Wang China 14 272 103 103 95 86 30 670
Wenjie Wang China 19 525 1.9× 90 0.9× 28 0.3× 219 2.3× 21 0.2× 87 1.3k
Myeong Seon Jeong South Korea 19 362 1.3× 115 1.1× 30 0.3× 157 1.7× 22 0.3× 49 946
Chengcheng Wang China 15 395 1.5× 19 0.2× 327 3.2× 126 1.3× 35 0.4× 35 1.1k
Rashmi Kumari India 15 289 1.1× 119 1.2× 24 0.2× 209 2.2× 16 0.2× 55 794
Woo Cheol Lee Japan 16 618 2.3× 17 0.2× 86 0.8× 42 0.4× 48 0.6× 53 946
Maciej Jaśkiewicz Poland 17 411 1.5× 48 0.5× 31 0.3× 76 0.8× 12 0.1× 38 851
Ruihua Zhang China 20 768 2.8× 23 0.2× 29 0.3× 197 2.1× 36 0.4× 66 1.2k
Carlos Roberto Polaquini Brazil 14 328 1.2× 43 0.4× 100 1.0× 76 0.8× 8 0.1× 28 877
Bin Dong China 21 562 2.1× 85 0.8× 14 0.1× 166 1.7× 15 0.2× 70 1.1k
Dakshinamurthy Rajalingam United States 16 538 2.0× 93 0.9× 18 0.2× 147 1.5× 10 0.1× 31 973

Countries citing papers authored by Haihong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haihong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Haihong Wang. A scholar is included among the top collaborators of Haihong Wang 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 Haihong Wang. Haihong Wang 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.
Chen, Bo, et al.. (2024). The puzzle of two tandem acyl-CoA ligases of Pseudomonas putida F1. Applied and Environmental Microbiology. 90(11). e0126724–e0126724. 1 indexed citations
2.
Yan, Lin, Haihong Wang, Hao Yuan, et al.. (2024). Znf687 recruits Brd4-Smrt complex to regulate gfi1aa during neutrophil development. Leukemia. 38(4). 851–864.
3.
Ding, Xiaojuan, et al.. (2023). Comprehensive analysis of TLX2 in pan cancer as a prognostic and immunologic biomarker and validation in ovarian cancer. Scientific Reports. 13(1). 16244–16244. 6 indexed citations
4.
Wang, Haihong, et al.. (2023). NOTCH Pathway Genes in Ovarian Cancer: Clinical Significance and Associations with Immune Cell Infiltration. Frontiers in Bioscience-Landmark. 28(9). 220–220. 4 indexed citations
5.
Wang, Haihong, Wei Wu, Yunfei Li, et al.. (2023). Circulating cell-free DNA fragmentation is a stepwise and conserved process linked to apoptosis. BMC Biology. 21(1). 253–253. 17 indexed citations
6.
Li, Yini, Lingzhi Chen, Haihong Wang, et al.. (2023). Comparative genomics analysis of Stenotrophomonas maltophilia strains from a community. Frontiers in Cellular and Infection Microbiology. 13. 1266295–1266295. 4 indexed citations
7.
Pan, Yuanming, Jigui Chen, Peng Jin, et al.. (2022). Serum metabolite signatures in normal individuals and patients with colorectal adenoma or colorectal cancer using UPLC-MS/MS method. Journal of Proteomics. 270. 104741–104741. 16 indexed citations
8.
Liu, Sicong, et al.. (2021). Differential Expression Profiles and Function Prediction of Transfer RNA‐Derived Fragments in High‐Grade Serous Ovarian Cancer. BioMed Research International. 2021(1). 5594081–5594081. 13 indexed citations
9.
Song, Fang, Jinchao Hou, Baoli Cheng, et al.. (2018). Sphingosine-1-phosphate Receptor 2 Signaling Promotes Caspase-11–dependent Macrophage Pyroptosis and Worsens Escherichia coli Sepsis Outcome. Anesthesiology. 129(2). 311–320. 40 indexed citations
10.
Chu, Qin, Jian Zhang, Τahir Usman, et al.. (2017). Association of SNP rs80659072 in the ZRS with polydactyly in Beijing You chickens. PLoS ONE. 12(10). e0185953–e0185953. 7 indexed citations
11.
Han, Qingxin, Haihong Wang, Xiaoliang Tang, et al.. (2016). Highly Selective and Sensitive One- and Two-Photon Ratiometric Fluorescent Probe for Intracellular Hydrogen Polysulfide Sensing. Analytical Chemistry. 88(14). 7206–7212. 97 indexed citations
12.
13.
Chu, Qin, et al.. (2013). The detection and elimination of flavin-containing monooxygenase 3 gene T329S mutation in the Beijing You chicken. Poultry Science. 92(12). 3109–3112. 1 indexed citations
14.
Xiao, Sun, et al.. (2012). Hemicellulose-based pH-sensitive and biodegradable hydrogel for controlled drug delivery. Carbohydrate Polymers. 92(2). 1357–1366. 160 indexed citations
15.
Chen, Chao, Xia Li, Tao Wang, et al.. (2010). Association between NMDA receptor subunit 2b gene polymorphism and Alzheimer’s disease in Chinese Han population in Shanghai. Neuroscience Bulletin. 26(5). 395–400. 13 indexed citations
16.
Wang, Shuaiyu, et al.. (2010). The complete mitochondrial genome of the leafminer Liriomyza trifolii (Diptera: Agromyzidae). Molecular Biology Reports. 38(2). 687–692. 19 indexed citations
17.
Wang, Lingling, et al.. (2008). [Overexpression and purification of Escherichia coli holo-acyl carrier protein and synthesis of acyl carrier protein].. PubMed. 48(7). 963–9. 2 indexed citations
18.
Chen, Qixing, Shuijing Wu, Haihong Wang, et al.. (2008). Lack of association between TREM-1 gene polymorphisms and severe sepsis in a Chinese Han population. Human Immunology. 69(3). 220–226. 24 indexed citations
19.
Wang, Haihong & John E. Cronan. (2004). Functional Replacement of the FabA and FabB Proteins of Escherichia coli Fatty Acid Synthesis by Enterococcus faecalis FabZ and FabF Homologues. Journal of Biological Chemistry. 279(33). 34489–34495. 85 indexed citations
20.
Wang, Haihong, Da‐Wen Sun, & Rongze Kuang. (2001). Inhibition of Escherichia coli by dimethyl fumarate. International Journal of Food Microbiology. 65(1-2). 125–130. 21 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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