Haibo Mu

25 total papers · 1.1k total citations
21 papers, 950 citations indexed

About

Haibo Mu is a scholar working on Molecular Biology, Plant Science and Rehabilitation. According to data from OpenAlex, Haibo Mu has authored 21 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Rehabilitation. Recurrent topics in Haibo Mu's work include Polysaccharides and Plant Cell Walls (4 papers), Wound Healing and Treatments (4 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Haibo Mu is often cited by papers focused on Polysaccharides and Plant Cell Walls (4 papers), Wound Healing and Treatments (4 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). Haibo Mu collaborates with scholars based in China, United States and Germany. Haibo Mu's co-authors include Jinyou Duan, Zehao Li, Yinyin Liu, Chunbo Lu, Hu Bai, Wuxia Zhang, Guoting Cui, Lili Kong, Qingjie Wang and Junjie Wang and has published in prestigious journals such as Chemical Engineering Journal, ACS Applied Materials & Interfaces and International Journal of Molecular Sciences.

In The Last Decade

Haibo Mu

21 papers receiving 943 citations

Author Peers

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

Author						Papers	Cites
Haibo Mu	208	197	188	171	170	21	950
Xiaoxiao Qiao	143 0.7×	167 0.8×	119 0.6×	149 0.9×	115 0.7×	23	816
Muhammad Naeem‐ul‐Hassan	224 1.1×	106 0.5×	368 2.0×	126 0.7×	227 1.3×	53	1.2k
Xiaochun Chen	466 2.2×	96 0.5×	192 1.0×	159 0.9×	122 0.7×	55	1.2k
Amir Hasanzadeh	170 0.8×	76 0.4×	363 1.9×	113 0.7×	90 0.5×	32	1.1k
Sumaira Naz	184 0.9×	105 0.5×	383 2.0×	131 0.8×	138 0.8×	55	974
M. Shanmugavel	240 1.2×	114 0.6×	441 2.3×	118 0.7×	156 0.9×	31	1.2k
Ahmed Y. El-Moghazy	248 1.2×	127 0.6×	162 0.9×	96 0.6×	56 0.3×	25	830
Rameshthangam Palanivel	168 0.8×	60 0.3×	384 2.0×	87 0.5×	110 0.6×	39	1.1k
Mihaela Silion	175 0.8×	69 0.4×	243 1.3×	64 0.4×	109 0.6×	64	830
Ömür Çelikbıçak	314 1.5×	93 0.5×	165 0.9×	35 0.2×	108 0.6×	44	893

Countries citing papers authored by Haibo Mu

Since Specialization

Citations

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

Fields of papers citing papers by Haibo Mu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Mu

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