Dengpan Liang

22 total papers · 565 total citations
18 papers, 448 citations indexed

About

Dengpan Liang is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Dengpan Liang has authored 18 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Surgery. Recurrent topics in Dengpan Liang's work include Lipoproteins and Cardiovascular Health (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Nutrition, Genetics, and Disease (2 papers). Dengpan Liang is often cited by papers focused on Lipoproteins and Cardiovascular Health (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Nutrition, Genetics, and Disease (2 papers). Dengpan Liang collaborates with scholars based in China and United States. Dengpan Liang's co-authors include Liangliang Cai, Peijian Wang, Qiulin Wang, Yonghe Hu, Peng Zhou, Fang Wang, Bing‐Hu Li, Xinzhong Hao, Mamoun M. Alhamadsheh and Arindom Pal and has published in prestigious journals such as Nature Communications, Journal of Medicinal Chemistry and Carbohydrate Polymers.

In The Last Decade

Dengpan Liang

18 papers receiving 443 citations

Author Peers

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

Author Last Decade Papers Cites
Dengpan Liang 187 136 77 50 50 18 448
Zongping Zhu 278 1.5× 112 0.8× 79 1.0× 28 0.6× 22 0.4× 17 550
Liping An 285 1.5× 84 0.6× 43 0.6× 23 0.5× 42 0.8× 31 496
Haihong Chen 156 0.8× 132 1.0× 65 0.8× 24 0.5× 32 0.6× 19 488
Qinxiong Lin 182 1.0× 165 1.2× 55 0.7× 56 1.1× 35 0.7× 15 452
Hye-Jeong Hwang 149 0.8× 148 1.1× 62 0.8× 84 1.7× 39 0.8× 25 490
Susara Ruwan Kumara Madduma Hewage 168 0.9× 48 0.4× 41 0.5× 40 0.8× 27 0.5× 14 448
Hailun Li 167 0.9× 136 1.0× 78 1.0× 76 1.5× 17 0.3× 31 519
Xiaolin Dai 201 1.1× 96 0.7× 63 0.8× 15 0.3× 28 0.6× 14 498
Bae Jin Ha 132 0.7× 53 0.4× 33 0.4× 53 1.1× 33 0.7× 19 422
Nileeka Balasuriya 267 1.4× 52 0.4× 41 0.5× 45 0.9× 28 0.6× 14 496

Countries citing papers authored by Dengpan Liang

Since Specialization
Citations

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

Fields of papers citing papers by Dengpan Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dengpan Liang

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