Daolai Zhang

47 total papers · 1.6k total citations
29 papers, 692 citations indexed

About

Daolai Zhang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Daolai Zhang has authored 29 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Cancer Research. Recurrent topics in Daolai Zhang's work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (6 papers) and Cancer-related molecular mechanisms research (5 papers). Daolai Zhang is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (6 papers) and Cancer-related molecular mechanisms research (5 papers). Daolai Zhang collaborates with scholars based in China, United States and Romania. Daolai Zhang's co-authors include Jin‐Peng Sun, Xiao Yu, Jing Jiang, Yeying Sun, Weihua Bian, Peng Xiao, Zhao Yang, Maolei Xu, Zhixin Liu and Amy Lin and has published in prestigious journals such as Journal of Biological Chemistry, Cell Metabolism and The FASEB Journal.

In The Last Decade

Daolai Zhang

29 papers receiving 690 citations

Author Peers

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

Author Last Decade Papers Cites
Daolai Zhang 488 189 133 70 58 29 692
Xiaonan Zhu 444 0.9× 179 0.9× 110 0.8× 47 0.7× 49 0.8× 40 759
Yuan Li 415 0.9× 121 0.6× 63 0.5× 53 0.8× 46 0.8× 41 707
Meng Li 465 1.0× 175 0.9× 159 1.2× 46 0.7× 44 0.8× 37 739
Jianhua Cao 395 0.8× 98 0.5× 93 0.7× 73 1.0× 43 0.7× 52 774
Anthony R. Soltis 415 0.9× 107 0.6× 54 0.4× 63 0.9× 34 0.6× 28 692
Yuemin Ding 347 0.7× 170 0.9× 79 0.6× 49 0.7× 170 2.9× 29 693
Danli Wu 376 0.8× 181 1.0× 39 0.3× 61 0.9× 65 1.1× 21 784
Ling Zhong 329 0.7× 152 0.8× 141 1.1× 33 0.5× 63 1.1× 38 697
Kazem Sharifi 463 0.9× 233 1.2× 86 0.6× 85 1.2× 20 0.3× 30 732
Fang Shi 360 0.7× 175 0.9× 36 0.3× 49 0.7× 57 1.0× 33 752

Countries citing papers authored by Daolai Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Daolai Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daolai Zhang

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