Hanshu Ding

1.4k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Hanshu Ding is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Hanshu Ding has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 3 papers in Molecular Biology and 3 papers in Biomaterials. Recurrent topics in Hanshu Ding's work include Biofuel production and bioconversion (6 papers), Catalysis for Biomass Conversion (4 papers) and Advanced Cellulose Research Studies (3 papers). Hanshu Ding is often cited by papers focused on Biofuel production and bioconversion (6 papers), Catalysis for Biomass Conversion (4 papers) and Advanced Cellulose Research Studies (3 papers). Hanshu Ding collaborates with scholars based in United States, Denmark and South Korea. Hanshu Ding's co-authors include Feng Xu, Elena Vlasenko, Kimberly M. Brown, Edward Re, Sine Larsen, Leila Lo Leggio, Ditte Hededam Welner, Paul V. Harris, Rune Salbo and Jens-Christian N. Poulsen and has published in prestigious journals such as Biochemistry, Bioresource Technology and Scientific Reports.

In The Last Decade

Hanshu Ding

8 papers receiving 991 citations

Hit Papers

Stimulation of Lignocellulosic Biomass Hydrolysis by Prot... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanshu Ding United States 8 839 555 363 337 163 9 1.0k
Maria Dimarogona Greece 19 814 1.0× 583 1.1× 451 1.2× 502 1.5× 208 1.3× 33 1.2k
Elena Vlasenko Russia 8 1.2k 1.4× 731 1.3× 562 1.5× 535 1.6× 235 1.4× 10 1.5k
Gerdt Müller Norway 8 694 0.8× 471 0.8× 299 0.8× 418 1.2× 127 0.8× 8 943
Piotr Chylenski Norway 13 845 1.0× 575 1.0× 396 1.1× 498 1.5× 144 0.9× 15 1.1k
Chloé Bennati-Granier France 8 436 0.5× 295 0.5× 288 0.8× 447 1.3× 104 0.6× 8 785
Daniela Alonso Bocchini Brazil 15 548 0.7× 432 0.8× 367 1.0× 124 0.4× 57 0.3× 24 757
Kentaro Inokuma Japan 23 881 1.1× 1.0k 1.9× 246 0.7× 73 0.2× 73 0.4× 41 1.4k
Hetti Palonen Finland 8 710 0.8× 335 0.6× 263 0.7× 305 0.9× 204 1.3× 9 900
Isabelle Herpoël‐Gimbert France 12 576 0.7× 394 0.7× 399 1.1× 394 1.2× 67 0.4× 13 825
In Jung Kim South Korea 16 600 0.7× 473 0.9× 245 0.7× 177 0.5× 90 0.6× 39 821

Countries citing papers authored by Hanshu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Hanshu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanshu Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Hanshu Ding. A scholar is included among the top collaborators of Hanshu Ding 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 Hanshu Ding. Hanshu Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Brunecky, Roman, Bryon S. Donohoe, John M. Yarbrough, et al.. (2017). The Multi Domain Caldicellulosiruptor bescii CelA Cellulase Excels at the Hydrolysis of Crystalline Cellulose. Scientific Reports. 7(1). 9622–9622. 42 indexed citations
3.
Börjesson, Johan, Hanshu Ding, Kristian B. R. M. Krogh, et al.. (2015). Improved biomass degradation using fungal glucuronoyl—esterases—hydrolysis of natural corn fiber substrate. Journal of Biotechnology. 219. 117–123. 37 indexed citations
4.
Harris, Paul V., Ditte Hededam Welner, K. C. McFarland, et al.. (2010). Stimulation of Lignocellulosic Biomass Hydrolysis by Proteins of Glycoside Hydrolase Family 61: Structure and Function of a Large, Enigmatic Family. Biochemistry. 49(15). 3305–3316. 598 indexed citations breakdown →
5.
Xu, Feng, et al.. (2009). Detrimental effect of cellulose oxidation on cellulose hydrolysis by cellulase. Enzyme and Microbial Technology. 45(3). 203–209. 24 indexed citations
6.
Xu, Feng, et al.. (2007). Partition of enzymes between the solvent and insoluble substrate during the hydrolysis of lignocellulose by cellulases. Journal of Molecular Catalysis B Enzymatic. 51(1-2). 42–48. 49 indexed citations
7.
Xu, Feng & Hanshu Ding. (2006). A new kinetic model for heterogeneous (or spatially confined) enzymatic catalysis: Contributions from the fractal and jamming (overcrowding) effects. Applied Catalysis A General. 317(1). 70–81. 102 indexed citations
8.
Bermek, Hakan, Hilal Yazıcı, Hale İnci Öztürk, et al.. (2004). Purification and characterization of manganese peroxidase from wood-degrading fungus Trichophyton rubrum LSK-27. Enzyme and Microbial Technology. 35(1). 87–92. 22 indexed citations
9.
Vlasenko, Elena, Hanshu Ding, John M. Labavitch, & Sharon P. Shoemaker. (1997). Enzymatic hydrolysis of pretreated rice straw. Bioresource Technology. 59(2-3). 109–119. 166 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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