Peiran Liu

44 total papers · 755 total citations
24 papers, 539 citations indexed

About

Peiran Liu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Peiran Liu has authored 24 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Spectroscopy. Recurrent topics in Peiran Liu's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Protein purification and stability (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Peiran Liu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Protein purification and stability (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Peiran Liu collaborates with scholars based in United States, China and Germany. Peiran Liu's co-authors include Fred E. Regnier, Guocheng Du, Jingwen Zhou, Junjun Wu, Han Bao, Yongming Fan, Jian Chen, Erin H. Seeley, Asish Chakraborty and Roujian Zhang and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Journal of Chromatography A.

In The Last Decade

Peiran Liu

23 papers receiving 530 citations

Author Peers

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

Author						Papers	Cites
Peiran Liu	403	162	65	61	41	24	539
Ming An	448 1.1×	54 0.3×	31 0.5×	95 1.6×	21 0.5×	25	599
Byoung Joon Ko	328 0.8×	181 1.1×	101 1.6×	42 0.7×	25 0.6×	37	619
Lars Hagel	426 1.1×	232 1.4×	107 1.6×	195 3.2×	20 0.5×	18	608
Kan Zhu	294 0.7×	256 1.6×	21 0.3×	52 0.9×	6 0.1×	18	455
Michael Weitzhandler	336 0.8×	109 0.7×	103 1.6×	99 1.6×	25 0.6×	17	543
Yoshinori Nishi	274 0.7×	25 0.2×	24 0.4×	18 0.3×	19 0.5×	23	450
Shaheer H. Khan	413 1.0×	82 0.5×	52 0.8×	146 2.4×	49 1.2×	35	575
Xinwen Zhou	415 1.0×	175 1.1×	37 0.6×	72 1.2×	28 0.7×	37	602
Yoshiaki Sugimura	303 0.8×	76 0.5×	42 0.6×	48 0.8×	54 1.3×	27	588
Nikolai Sepetov	473 1.2×	96 0.6×	174 2.7×	51 0.8×	12 0.3×	30	607

Countries citing papers authored by Peiran Liu

Since Specialization

Citations

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

Fields of papers citing papers by Peiran Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiran Liu

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