Juan He

47 total papers · 831 total citations
33 papers, 614 citations indexed

About

Juan He is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Juan He has authored 33 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 7 papers in Biomedical Engineering and 5 papers in Molecular Biology. Recurrent topics in Juan He's work include Advanced Sensor and Energy Harvesting Materials (5 papers), Multiple Sclerosis Research Studies (4 papers) and Polysaccharides and Plant Cell Walls (3 papers). Juan He is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (5 papers), Multiple Sclerosis Research Studies (4 papers) and Polysaccharides and Plant Cell Walls (3 papers). Juan He collaborates with scholars based in China, United States and India. Juan He's co-authors include Robert I. Grossman, Lois J. Mannon, Yulin Ge, James S. Babb, Jinyou Shao, Xiaoliang Chen, Hongmiao Tian, Xiangming Li, Belinda S.Y. Li and Oded Gonen and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Juan He

31 papers receiving 606 citations

Author Peers

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

Author						Papers	Cites
Juan He	198	178	121	88	74	33	614
Shuai Xu	148 0.7×	51 0.3×	60 0.5×	59 0.7×	50 0.7×	42	585
Andreas Köpf	170 0.9×	30 0.2×	69 0.6×	47 0.5×	68 0.9×	20	593
Jože V. Trontelj	186 0.9×	50 0.3×	44 0.4×	38 0.4×	68 0.9×	22	614
Young Jin Ko	93 0.5×	66 0.4×	29 0.2×	39 0.4×	81 1.1×	38	590
Yi Zhong	76 0.4×	54 0.3×	91 0.8×	42 0.5×	194 2.6×	56	681
Huijing Xu	66 0.3×	97 0.5×	119 1.0×	13 0.1×	96 1.3×	38	513
Jiliang Zhai	108 0.5×	94 0.5×	67 0.6×	65 0.7×	55 0.7×	53	635
Fahimeh Kamali	97 0.5×	140 0.8×	44 0.4×	86 1.0×	20 0.3×	45	660
Seung Min Lee	159 0.8×	24 0.1×	236 2.0×	19 0.2×	27 0.4×	47	642
Zan Yue	322 1.6×	32 0.2×	139 1.1×	21 0.2×	25 0.3×	20	592

Countries citing papers authored by Juan He

Since Specialization

Citations

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

Fields of papers citing papers by Juan He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan He

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