Hechun Liu

44 total papers · 908 total citations
37 papers, 688 citations indexed

About

Hechun Liu is a scholar working on Molecular Biology, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Hechun Liu has authored 37 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Nutrition and Dietetics and 9 papers in Physiology. Recurrent topics in Hechun Liu's work include Diet and metabolism studies (7 papers), Diet, Metabolism, and Disease (7 papers) and Fatty Acid Research and Health (7 papers). Hechun Liu is often cited by papers focused on Diet and metabolism studies (7 papers), Diet, Metabolism, and Disease (7 papers) and Fatty Acid Research and Health (7 papers). Hechun Liu collaborates with scholars based in China, Canada and United States. Hechun Liu's co-authors include Guiju Sun, Hui Xia, Shaokang Wang, Xian Yang, Yukui Zhang, Da Pan, Chao Yang, Andy Ng, Shimaa Eissa and Chaker Tlili and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and Journal of Chromatography A.

In The Last Decade

Hechun Liu

34 papers receiving 680 citations

Author Peers

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

Author						Papers	Cites
Hechun Liu	248	174	109	99	84	37	688
Heli Nygrén	400 1.6×	76 0.4×	119 1.1×	55 0.6×	55 0.7×	28	756
Nikola Pluym	176 0.7×	58 0.3×	147 1.3×	41 0.4×	34 0.4×	50	597
Samanthi Wickramasekara	331 1.3×	78 0.4×	75 0.7×	26 0.3×	87 1.0×	33	691
Nrisinha P. Sen	235 0.9×	132 0.8×	62 0.6×	44 0.4×	49 0.6×	40	773
Walter F. Miles	150 0.6×	86 0.5×	34 0.3×	38 0.4×	75 0.9×	32	793
Georgia Charkoftaki	207 0.8×	59 0.3×	59 0.5×	34 0.3×	39 0.5×	34	763
Paolo Stacchini	200 0.8×	63 0.4×	46 0.4×	64 0.6×	25 0.3×	36	742
Alberto Gil-de-la-Fuente	490 2.0×	83 0.5×	58 0.5×	21 0.2×	169 2.0×	16	723
Gianfranco Frigerio	127 0.5×	45 0.3×	46 0.4×	35 0.4×	22 0.3×	51	616
Iole Maria Di Gangi	204 0.8×	45 0.3×	126 1.2×	19 0.2×	37 0.4×	24	614

Countries citing papers authored by Hechun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Hechun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hechun Liu

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