Yiting Liu

96 total papers · 1.0k total citations
59 papers, 682 citations indexed

About

Yiting Liu is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Yiting Liu has authored 59 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Cell Biology. Recurrent topics in Yiting Liu's work include Endoplasmic Reticulum Stress and Disease (6 papers), Autophagy in Disease and Therapy (5 papers) and Electrocatalysts for Energy Conversion (4 papers). Yiting Liu is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (6 papers), Autophagy in Disease and Therapy (5 papers) and Electrocatalysts for Energy Conversion (4 papers). Yiting Liu collaborates with scholars based in China, Taiwan and United States. Yiting Liu's co-authors include Charles Barlowe, Yiyu Zeng, Yi Wu, Guojun Wu, Jing Xu, John J. Flanagan, Xuebo Chen, Hongwei Yan, Shengnan Ren and Xi Liu and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Yiting Liu

45 papers receiving 675 citations

Author Peers

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

Author						Papers	Cites
Yiting Liu	365	168	100	88	65	59	682
Pelin Telkoparan‐Akillilar	435 1.2×	118 0.7×	56 0.6×	94 1.1×	65 1.0×	30	674
Hiroyuki Kumagai	471 1.3×	165 1.0×	117 1.2×	75 0.9×	40 0.6×	47	792
Г. Е. Онищенко	291 0.8×	101 0.6×	38 0.4×	64 0.7×	90 1.4×	51	650
Aline Pinon	294 0.8×	89 0.5×	78 0.8×	44 0.5×	49 0.8×	36	709
Kirit Pindolia	346 0.9×	157 0.9×	105 1.1×	68 0.8×	89 1.4×	28	712
Lina Wasserman	404 1.1×	111 0.7×	54 0.5×	39 0.4×	44 0.7×	41	732
Yota Tatara	452 1.2×	112 0.7×	40 0.4×	51 0.6×	78 1.2×	43	784
Rafał Krętowski	299 0.8×	58 0.3×	65 0.7×	73 0.8×	38 0.6×	35	690
Zuzanna Rzepka	375 1.0×	189 1.1×	121 1.2×	41 0.5×	49 0.8×	57	782
Ying Hou	433 1.2×	62 0.4×	63 0.6×	130 1.5×	71 1.1×	29	719

Countries citing papers authored by Yiting Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yiting Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiting Liu

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