Jing Han

69 total papers · 1.1k total citations
49 papers, 915 citations indexed

About

Jing Han is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Jing Han has authored 49 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Pharmacology and 8 papers in Complementary and alternative medicine. Recurrent topics in Jing Han's work include Traditional Chinese Medicine Analysis (6 papers), Analytical Chemistry and Chromatography (6 papers) and Pharmacological Effects of Natural Compounds (5 papers). Jing Han is often cited by papers focused on Traditional Chinese Medicine Analysis (6 papers), Analytical Chemistry and Chromatography (6 papers) and Pharmacological Effects of Natural Compounds (5 papers). Jing Han collaborates with scholars based in China, United States and Nepal. Jing Han's co-authors include Jin Liang, Yue Sun, Jiejie Wang, Yumeng Zhang, Chengcheng Ruan, Hui Cheng, Pengfei Jiang, Yue Ma, Chao Bai and Jinhua Wang and has published in prestigious journals such as Food Chemistry, Journal of Controlled Release and International Journal of Pharmaceutics.

In The Last Decade

Jing Han

49 papers receiving 894 citations

Author Peers

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

Author Last Decade Papers Cites
Jing Han 215 191 122 113 105 49 915
Carmen Lucas-Abellán 193 0.9× 197 1.0× 143 1.2× 37 0.3× 112 1.1× 33 931
Tong‐Rong Tsai 352 1.6× 219 1.1× 85 0.7× 62 0.5× 151 1.4× 35 1.2k
Juber Akhtar 259 1.2× 143 0.7× 90 0.7× 57 0.5× 155 1.5× 95 964
Lívia Bracht 318 1.5× 199 1.0× 115 0.9× 42 0.4× 132 1.3× 69 1.1k
Mujeeb ur Rehman 303 1.4× 102 0.5× 145 1.2× 48 0.4× 157 1.5× 39 1000
Cristiana Lima Dora 251 1.2× 222 1.2× 151 1.2× 37 0.3× 98 0.9× 47 1.1k
Shrestha Sharma 335 1.6× 172 0.9× 145 1.2× 54 0.5× 95 0.9× 32 1.2k
Jing Teng 158 0.7× 340 1.8× 164 1.3× 181 1.6× 133 1.3× 36 925
Thau‐Ming Cham 288 1.3× 262 1.4× 134 1.1× 45 0.4× 189 1.8× 47 1.2k
Ibrahim A. Maghrabi 353 1.6× 192 1.0× 58 0.5× 104 0.9× 107 1.0× 41 1.2k

Countries citing papers authored by Jing Han

Since Specialization
Citations

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

Fields of papers citing papers by Jing Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Han

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Han. A scholar is included among the top collaborators of Jing Han 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 Jing Han. Jing Han 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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2026