Min Jia

54 total papers · 797 total citations
39 papers, 628 citations indexed

About

Min Jia is a scholar working on Molecular Biology, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Min Jia has authored 39 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Ocean Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Min Jia's work include Hydraulic Fracturing and Reservoir Analysis (10 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Hydrocarbon exploration and reservoir analysis (7 papers). Min Jia is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (10 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Hydrocarbon exploration and reservoir analysis (7 papers). Min Jia collaborates with scholars based in China, United States and Macao. Min Jia's co-authors include Xiaogang Li, Jian Ji, Jingyi Zhu, Zhaozhong Yang, Ruinan Wang, Yunfei Lu, Jikui Wu, Neil V. Blough, Yinzhi Zhang and Xiulan Sun and has published in prestigious journals such as Analytical Chemistry, Applied Catalysis B: Environmental and Food Chemistry.

In The Last Decade

Min Jia

38 papers receiving 618 citations

Author Peers

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

Author						Papers	Cites
Min Jia	207	171	125	120	91	39	628
Xin Hu	161 0.8×	82 0.5×	22 0.2×	71 0.6×	109 1.2×	39	590
Elena Rodríguez	23 0.1×	92 0.5×	168 1.3×	123 1.0×	155 1.7×	41	751
Beng Joo Reginald Thio	61 0.3×	179 1.0×	75 0.6×	25 0.2×	308 3.4×	18	696
M.J. Francis	54 0.3×	191 1.1×	68 0.5×	40 0.3×	128 1.4×	32	667
Dingli Wang	133 0.6×	59 0.3×	92 0.7×	121 1.0×	266 2.9×	49	696
Tingyu Li	98 0.5×	132 0.8×	90 0.7×	68 0.6×	75 0.8×	55	657
M.A. Patrick	70 0.3×	138 0.8×	139 1.1×	27 0.2×	47 0.5×	47	728
John T. Sears	89 0.4×	134 0.8×	114 0.9×	73 0.6×	88 1.0×	30	652
Feng Wei	113 0.5×	290 1.7×	161 1.3×	56 0.5×	60 0.7×	58	652
Lu Han	92 0.4×	189 1.1×	58 0.5×	123 1.0×	265 2.9×	48	709

Countries citing papers authored by Min Jia

Since Specialization

Citations

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

Fields of papers citing papers by Min Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Jia

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