Haibo Jiang

108 total papers · 3.3k total citations
75 papers, 2.1k citations indexed

About

Haibo Jiang is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Haibo Jiang has authored 75 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 9 papers in Cell Biology and 9 papers in Materials Chemistry. Recurrent topics in Haibo Jiang's work include Lipid Membrane Structure and Behavior (10 papers), Lipid metabolism and disorders (7 papers) and Caveolin-1 and cellular processes (6 papers). Haibo Jiang is often cited by papers focused on Lipid Membrane Structure and Behavior (10 papers), Lipid metabolism and disorders (7 papers) and Caveolin-1 and cellular processes (6 papers). Haibo Jiang collaborates with scholars based in Australia, United States and China. Haibo Jiang's co-authors include Stephen G. Young, Loren G. Fong, C.R.M. Grovenor, Cuiwen He, Anne P. Beigneux, Wen‐Xiong Wang, Matt R. Kilburn, Paul Guagliardo, Peter Tontonoz and Michael Ploug and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Haibo Jiang

70 papers receiving 2.1k citations

Hit Papers

Nano-Drug Delivery System... 2024 2026 2024 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Haibo Jiang 762 280 261 197 180 75 2.1k
Xianyin Lai 811 1.1× 182 0.7× 306 1.2× 229 1.2× 81 0.5× 66 2.1k
Yuji Ito 881 1.2× 102 0.4× 150 0.6× 149 0.8× 136 0.8× 133 2.3k
Michael F. Rohde 1.4k 1.9× 95 0.3× 298 1.1× 178 0.9× 216 1.2× 86 3.1k
Donghai Wu 896 1.2× 122 0.4× 194 0.7× 267 1.4× 86 0.5× 144 3.0k
Mingsheng Zhang 1.4k 1.9× 123 0.4× 224 0.9× 168 0.9× 68 0.4× 130 2.7k
Saul Yedgar 1.0k 1.3× 147 0.5× 170 0.7× 271 1.4× 141 0.8× 115 3.2k
William N. Fishbein 1.2k 1.6× 140 0.5× 112 0.4× 102 0.5× 80 0.4× 75 2.8k
Frank S. Parker 949 1.2× 199 0.7× 99 0.4× 152 0.8× 141 0.8× 59 3.3k
H. B. F. Dixon 1.6k 2.1× 263 0.9× 292 1.1× 84 0.4× 130 0.7× 122 3.2k
Javier Camacho 1.3k 1.7× 286 1.0× 153 0.6× 158 0.8× 58 0.3× 91 2.3k

Countries citing papers authored by Haibo Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Haibo Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Jiang

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