Zhandong Li

53 total papers · 653 total citations
46 papers, 495 citations indexed

About

Zhandong Li is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Zhandong Li has authored 46 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Immunology. Recurrent topics in Zhandong Li's work include Machine Learning in Bioinformatics (17 papers), Cancer-related molecular mechanisms research (7 papers) and Bioinformatics and Genomic Networks (6 papers). Zhandong Li is often cited by papers focused on Machine Learning in Bioinformatics (17 papers), Cancer-related molecular mechanisms research (7 papers) and Bioinformatics and Genomic Networks (6 papers). Zhandong Li collaborates with scholars based in China, United States and Denmark. Zhandong Li's co-authors include Yu‐Dong Cai, Tao Huang, Lei Chen, Hao Li, Tao Zeng, Yuhang Zhang, Xiaoyong Pan, Shi‐Jian Ding, Kaiyan Feng and Wei Guo and has published in prestigious journals such as PLoS ONE, Scientific Reports and BioMed Research International.

In The Last Decade

Zhandong Li

45 papers receiving 488 citations

Author Peers

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

Author						Papers	Cites
Zhandong Li	310	80	60	50	48	46	495
Muhammad Alaa Eldeen	253 0.8×	38 0.5×	50 0.8×	56 1.1×	30 0.6×	41	495
Ming‐Chang Hsieh	217 0.7×	56 0.7×	39 0.7×	65 1.3×	27 0.6×	33	471
Qingling Li	184 0.6×	79 1.0×	38 0.6×	62 1.2×	22 0.5×	40	507
Harinda Rajapaksha	240 0.8×	39 0.5×	65 1.1×	78 1.6×	21 0.4×	25	534
Deyu Kong	198 0.6×	53 0.7×	87 1.4×	46 0.9×	78 1.6×	45	481
Changlu Qi	429 1.4×	55 0.7×	65 1.1×	20 0.4×	49 1.0×	19	524
Zhilong Jia	282 0.9×	108 1.4×	63 1.1×	43 0.9×	29 0.6×	28	511
Siddharth Sinha	282 0.9×	53 0.7×	51 0.8×	15 0.3×	72 1.5×	30	508
Ziqing Yang	243 0.8×	98 1.2×	40 0.7×	46 0.9×	9 0.2×	45	446
Рубен Карапетян	233 0.8×	23 0.3×	38 0.6×	44 0.9×	15 0.3×	28	444

Countries citing papers authored by Zhandong Li

Since Specialization

Citations

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

Fields of papers citing papers by Zhandong Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhandong Li

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