Haigang Song

479 total citations
30 papers, 370 citations indexed

About

Haigang Song is a scholar working on Molecular Biology, Materials Chemistry and Oncology. According to data from OpenAlex, Haigang Song has authored 30 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Materials Chemistry and 6 papers in Oncology. Recurrent topics in Haigang Song's work include Enzyme Structure and Function (7 papers), Biochemical and Molecular Research (6 papers) and Peptidase Inhibition and Analysis (6 papers). Haigang Song is often cited by papers focused on Enzyme Structure and Function (7 papers), Biochemical and Molecular Research (6 papers) and Peptidase Inhibition and Analysis (6 papers). Haigang Song collaborates with scholars based in China, United Kingdom and Hong Kong. Haigang Song's co-authors include Zhihong Guo, James H. Naismith, Kun Xu, Sujing Wang, Fang Yang, Zhenggen Zha, Guoyin Lai, Yueqin Zheng, Fengfeng Guo and Zhiyong Wang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Haigang Song

26 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haigang Song China 11 202 119 74 53 44 30 370
Alexandra Binter Austria 13 304 1.5× 121 1.0× 27 0.4× 83 1.6× 87 2.0× 14 451
Ella J. Watkins‐Dulaney United States 10 298 1.5× 108 0.9× 30 0.4× 69 1.3× 14 0.3× 13 481
Hannes Ludewig United Kingdom 8 260 1.3× 91 0.8× 170 2.3× 22 0.4× 48 1.1× 11 367
Joanne L. Porter United Kingdom 10 369 1.8× 59 0.5× 36 0.5× 38 0.7× 30 0.7× 14 488
Sabrina Hoebenreich Germany 8 364 1.8× 116 1.0× 34 0.5× 33 0.6× 24 0.5× 10 483
Christian Schnepel United Kingdom 13 397 2.0× 293 2.5× 79 1.1× 31 0.6× 24 0.5× 24 627
Grzegorz M. Salamończyk Poland 14 260 1.3× 208 1.7× 46 0.6× 15 0.3× 15 0.3× 26 445
Ken‐ichi Fuhshuku Japan 12 257 1.3× 167 1.4× 32 0.4× 38 0.7× 7 0.2× 25 387
Sungsook Lee United States 14 250 1.2× 232 1.9× 210 2.8× 23 0.4× 29 0.7× 30 566
Fumio Ishii Japan 11 209 1.0× 177 1.5× 127 1.7× 27 0.5× 35 0.8× 25 474

Countries citing papers authored by Haigang Song

Since Specialization
Citations

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

Fields of papers citing papers by Haigang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haigang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Haigang Song. A scholar is included among the top collaborators of Haigang Song 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 Haigang Song. Haigang Song 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
2.
El‐Baba, Tarick J., Carla Kirschbaum, Haigang Song, et al.. (2025). Uncovering hidden protein modifications with native top-down mass spectrometry. Nature Methods. 22(10). 2127–2137.
3.
Song, Haigang, et al.. (2025). Characterization and Biological Performance of Anglerfish Collagen and Bovine Collagen. Applied Biochemistry and Biotechnology. 197(11). 7431–7449.
4.
Liu, Jian, Haigang Song, Shuang Li, et al.. (2025). Carbon-dots crosslinked collagen- fucoidan hydrogel with anti-bacterial and immunomodulatory activities promotes wound healing. Colloids and Surfaces B Biointerfaces. 255. 114977–114977. 2 indexed citations
5.
Yang, Yun, Bradley R. Clarke, Haigang Song, et al.. (2025). Molecular basis for the phosphorylation of bacterial tyrosine kinase Wzc. Nature Communications. 16(1). 3437–3437. 1 indexed citations
6.
Song, Haigang, Clara Chepkirui, Hannelore Kaspar, et al.. (2021). Enzyme-mediated backbone N-methylation in ribosomally encoded peptides. Methods in enzymology on CD-ROM/Methods in enzymology. 656. 429–458. 4 indexed citations
7.
Wang, Zhitao, Yuhe Zhang, Chao Liu, et al.. (2020). Association of high-resolution computed tomography score with ventilator weaning and 28-day mortality of patients with acute respiratory distress syndrome. Journal of International Medical Research. 48(6). 1220712518–1220712518.
8.
Song, Haigang, Hannelore Kaspar, Sally L. Shirran, et al.. (2020). Substrate Plasticity of a Fungal Peptide α-N-Methyltransferase. ACS Chemical Biology. 15(7). 1901–1912. 17 indexed citations
9.
Song, Haigang & James H. Naismith. (2020). Enzymatic methylation of the amide bond. Current Opinion in Structural Biology. 65. 79–88. 11 indexed citations
11.
Qin, Mingming, Haigang Song, Xin Dai, et al.. (2018). Single‐Turnover Kinetics Reveal a Distinct Mode of Thiamine Diphosphate‐Dependent Catalysis in Vitamin K Biosynthesis. ChemBioChem. 19(14). 1514–1522. 3 indexed citations
12.
Song, Haigang, Patrick Bleiziffer, Markus Aebi, et al.. (2018). A molecular mechanism for the enzymatic methylation of nitrogen atoms within peptide bonds. Science Advances. 4(8). eaat2720–eaat2720. 47 indexed citations
13.
Song, Haigang, et al.. (2015). Long-term administration of simvastatin reduces ventilator-induced lung injury and upregulates heme oxygenase 1 expression in a rat model. Journal of Surgical Research. 199(2). 601–607. 6 indexed citations
14.
Fu, Fangmeng, et al.. (2015). CT imaging spectrum and the histopathological features of adult metanephric adenoma. British Journal of Radiology. 88(1051). 20140807–20140807. 6 indexed citations
15.
Chen, Yaozong, Yueru Sun, Haigang Song, & Zhihong Guo. (2015). Structural Basis for the ATP-dependent Configuration of Adenylation Active Site in Bacillus subtilis o-Succinylbenzoyl-CoA Synthetase. Journal of Biological Chemistry. 290(39). 23971–23983. 12 indexed citations
16.
Song, Haigang, et al.. (2014). Ligand-dependent active-site closure revealed in the crystal structure ofMycobacterium tuberculosisMenB complexed with product analogues. Acta Crystallographica Section D Biological Crystallography. 70(11). 2959–2969. 4 indexed citations
18.
Chen, Minjiao, Xinyu Ma, Xiaolei Chen, et al.. (2013). Identification of a Hotdog Fold Thioesterase Involved in the Biosynthesis of Menaquinone in Escherichia coli. Journal of Bacteriology. 195(12). 2768–2775. 50 indexed citations
19.
Sun, Yueru, Haigang Song, Jie Li, et al.. (2013). Structural Basis of the Induced-Fit Mechanism of 1,4-Dihydroxy-2-Naphthoyl Coenzyme A Synthase from the Crotonase Fold Superfamily. PLoS ONE. 8(4). e63095–e63095. 6 indexed citations
20.
Lai, Guoyin, Fengfeng Guo, Yueqin Zheng, et al.. (2010). Highly Enantioselective Henry Reactions in Water Catalyzed by a Copper Tertiary Amine Complex and Applied in the Synthesis of (S)‐Ntrans‐Feruloyl Octopamine. Chemistry - A European Journal. 17(4). 1114–1117. 87 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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