Yanna Liang

78 total papers · 4.6k total citations
67 papers, 3.6k citations indexed

About

Yanna Liang is a scholar working on Biomedical Engineering, Molecular Biology and Environmental Chemistry. According to data from OpenAlex, Yanna Liang has authored 67 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 23 papers in Molecular Biology and 18 papers in Environmental Chemistry. Recurrent topics in Yanna Liang's work include Biofuel production and bioconversion (24 papers), Microbial Metabolic Engineering and Bioproduction (20 papers) and Coal Properties and Utilization (12 papers). Yanna Liang is often cited by papers focused on Biofuel production and bioconversion (24 papers), Microbial Metabolic Engineering and Bioproduction (20 papers) and Coal Properties and Utilization (12 papers). Yanna Liang collaborates with scholars based in United States, China and India. Yanna Liang's co-authors include Yi Cui, Weilan Zhang, James W. Blackburn, Dongqing Zhang, Jemil Yesuf, Jesse Trushenski, Satya Harpalani, Ronald C. Sims, Arosha Loku Umagiliyage and Ruplal Choudhary and has published in prestigious journals such as Applied and Environmental Microbiology, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

Yanna Liang

67 papers receiving 3.4k citations

Hit Papers

Biomass and lipid product... 2009 2026 2014 2020 2009 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yanna Liang 1.4k 1.1k 1.1k 837 505 67 3.6k
Tony Gutiérrez 502 0.4× 845 0.8× 677 0.6× 575 0.7× 357 0.7× 86 4.0k
Dawn E. Holmes 1.8k 1.3× 1.1k 1.0× 670 0.6× 1.4k 1.7× 680 1.3× 104 8.7k
Bernard Ollivier 998 0.7× 2.0k 1.8× 163 0.2× 1.4k 1.6× 212 0.4× 91 5.1k
T. P. Tourova 969 0.7× 2.6k 2.3× 169 0.2× 1.5k 1.7× 298 0.6× 149 5.3k
R. Cord‐Ruwisch 1.2k 0.9× 908 0.8× 222 0.2× 893 1.1× 341 0.7× 113 6.1k
Hai Lin 1.2k 0.9× 301 0.3× 562 0.5× 604 0.7× 663 1.3× 178 6.0k
Liping Lou 794 0.6× 392 0.4× 832 0.8× 1.3k 1.6× 1.2k 2.3× 115 5.8k
Shan Zhao 725 0.5× 196 0.2× 909 0.8× 196 0.2× 451 0.9× 133 4.2k
Xiaohui Liu 565 0.4× 469 0.4× 922 0.9× 563 0.7× 1.7k 3.3× 149 6.5k
Kai Liu 577 0.4× 315 0.3× 521 0.5× 635 0.8× 1.0k 2.0× 124 5.8k

Countries citing papers authored by Yanna Liang

Since Specialization
Citations

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

Fields of papers citing papers by Yanna Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanna Liang

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

All Works

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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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