Haixia Shi

54 total papers · 918 total citations
45 papers, 676 citations indexed

About

Haixia Shi is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Haixia Shi has authored 45 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 11 papers in Biomedical Engineering and 7 papers in Cell Biology. Recurrent topics in Haixia Shi's work include Advanced biosensing and bioanalysis techniques (16 papers), Biosensors and Analytical Detection (9 papers) and Electrochemical sensors and biosensors (6 papers). Haixia Shi is often cited by papers focused on Advanced biosensing and bioanalysis techniques (16 papers), Biosensors and Analytical Detection (9 papers) and Electrochemical sensors and biosensors (6 papers). Haixia Shi collaborates with scholars based in China, United States and India. Haixia Shi's co-authors include Li Gao, Bing Xie, Ka Bian, Qin Li, Xia Ni, Yang Zhou, Keping Chen, Lirong Yan, Ruzhi Zhang and Cheng Liu and has published in prestigious journals such as Scientific Reports, Nanoscale and Cellular and Molecular Life Sciences.

In The Last Decade

Haixia Shi

43 papers receiving 666 citations

Author Peers

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

Author						Papers	Cites
Haixia Shi	347	186	90	81	62	45	676
Yonghong Tang	227 0.7×	132 0.7×	88 1.0×	21 0.3×	24 0.4×	49	730
Manal Alaamery	400 1.2×	111 0.6×	45 0.5×	28 0.3×	18 0.3×	33	735
Chaonan Sun	400 1.2×	142 0.8×	50 0.6×	19 0.2×	14 0.2×	35	694
M. Leroux	188 0.5×	58 0.3×	63 0.7×	21 0.3×	25 0.4×	38	631
Adriano Aquino	261 0.8×	190 1.0×	73 0.8×	58 0.7×	13 0.2×	36	764
М. В. Иванова	179 0.5×	46 0.2×	51 0.6×	18 0.2×	22 0.4×	45	662
Rihab Osman	151 0.4×	133 0.7×	72 0.8×	18 0.2×	16 0.3×	38	791
Dae-Yeon Cho	358 1.0×	128 0.7×	64 0.7×	56 0.7×	11 0.2×	41	723
Changsheng Shao	231 0.7×	126 0.7×	100 1.1×	58 0.7×	87 1.4×	45	586
Sibel Ilbasmiş-Tamer	145 0.4×	171 0.9×	113 1.3×	34 0.4×	14 0.2×	43	716

Countries citing papers authored by Haixia Shi

Since Specialization

Citations

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

Fields of papers citing papers by Haixia Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixia Shi

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