Liang Tu

12 total papers · 461 total citations
11 papers, 352 citations indexed

About

Liang Tu is a scholar working on Biomedical Engineering, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Liang Tu has authored 11 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 8 papers in Molecular Biology and 1 paper in Atomic and Molecular Physics, and Optics. Recurrent topics in Liang Tu's work include Characterization and Applications of Magnetic Nanoparticles (7 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Geomagnetism and Paleomagnetism Studies (4 papers). Liang Tu is often cited by papers focused on Characterization and Applications of Magnetic Nanoparticles (7 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Geomagnetism and Paleomagnetism Studies (4 papers). Liang Tu collaborates with scholars based in United States and China. Liang Tu's co-authors include Jian‐Ping Wang, Todd Klein, Yinglong Feng, Kai Wu, Wei Wang, Wei Wang, Yi Wang, Yi Wang, Yuanpeng Li and Lina Yu and has published in prestigious journals such as Applied Physics Letters, Analytical Chemistry and Scientific Reports.

In The Last Decade

Liang Tu

11 papers receiving 347 citations

Author Peers

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

Author						Papers	Cites
Liang Tu	274	150	93	76	33	11	352
Carolyn Shasha	325 1.2×	166 1.1×	60 0.6×	42 0.6×	39 1.2×	11	370
Justin J. Palfreyman	200 0.7×	104 0.7×	76 0.8×	87 1.1×	90 2.7×	17	356
Matthias Gräser	306 1.1×	199 1.3×	37 0.4×	45 0.6×	18 0.5×	11	347
Christina Debbeler	265 1.0×	142 0.9×	33 0.4×	35 0.5×	20 0.6×	9	319
Sebastian Draack	299 1.1×	171 1.1×	53 0.6×	24 0.3×	34 1.0×	17	344
Robert F. Roskamp	139 0.5×	82 0.5×	49 0.5×	55 0.7×	47 1.4×	13	337
Zhen Xu	190 0.7×	146 1.0×	27 0.3×	107 1.4×	93 2.8×	18	345
Alexander van Reenen	322 1.2×	75 0.5×	43 0.5×	85 1.1×	43 1.3×	16	395
Edurne Tellechea	192 0.7×	171 1.1×	76 0.8×	73 1.0×	70 2.1×	16	386
Christian Mücksch	135 0.5×	110 0.7×	61 0.7×	42 0.6×	109 3.3×	14	343

Countries citing papers authored by Liang Tu

Since Specialization

Citations

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

Fields of papers citing papers by Liang Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Tu. A scholar is included among the top collaborators of Liang Tu 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 Liang Tu. Liang Tu 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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