Haibin Mao

4.4k total citations · 2 hit papers
18 papers, 2.6k citations indexed

About

Haibin Mao is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Haibin Mao has authored 18 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Plant Science and 4 papers in Cell Biology. Recurrent topics in Haibin Mao's work include Ubiquitin and proteasome pathways (8 papers), Plant Molecular Biology Research (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Haibin Mao is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Plant Molecular Biology Research (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Haibin Mao collaborates with scholars based in United States, United Kingdom and Germany. Haibin Mao's co-authors include Ning Zheng, Thomas R. Hinds, Xu Tan, Laura B. Sheard, Michal Sharon, John Withers, Josep Rizo, Gili Ben‐Nissan, John Browse and Fong‐Fu Hsu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Haibin Mao

18 papers receiving 2.5k citations

Hit Papers

Jasmonate perception by inositol-phosphate-potentiated CO... 2010 2026 2015 2020 2010 2012 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Haibin Mao United States 15 1.8k 1.4k 544 305 155 18 2.6k
Dominique Eeckhout Belgium 29 2.7k 1.5× 2.9k 2.1× 420 0.8× 162 0.5× 419 2.7× 55 4.2k
David Mackey United States 34 4.6k 2.6× 1.2k 0.8× 205 0.4× 86 0.3× 382 2.5× 65 5.2k
John Withers United States 13 2.0k 1.2× 889 0.6× 666 1.2× 240 0.8× 110 0.7× 14 2.4k
Esther Lechner France 23 3.9k 2.2× 2.9k 2.0× 401 0.7× 152 0.5× 148 1.0× 32 4.6k
Ari Sadanandom United Kingdom 36 3.8k 2.2× 2.3k 1.7× 210 0.4× 61 0.2× 326 2.1× 76 4.8k
Jan Sklenář United Kingdom 34 4.0k 2.3× 1.5k 1.0× 126 0.2× 75 0.2× 539 3.5× 63 4.6k
Fangming Wu China 16 1.0k 0.6× 867 0.6× 277 0.5× 95 0.3× 47 0.3× 32 1.6k
Peter Brodersen Denmark 29 4.9k 2.8× 3.8k 2.7× 292 0.5× 77 0.3× 190 1.2× 48 6.4k
Mária Eckert United Kingdom 15 965 0.6× 2.0k 1.5× 238 0.4× 77 0.3× 430 2.8× 21 2.9k
Glenn R. Hicks United States 33 2.0k 1.1× 2.3k 1.6× 67 0.1× 94 0.3× 517 3.3× 66 3.2k

Countries citing papers authored by Haibin Mao

Since Specialization
Citations

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

Fields of papers citing papers by Haibin Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibin Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Haibin Mao. A scholar is included among the top collaborators of Haibin Mao 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 Haibin Mao. Haibin Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Mao, Haibin, et al.. (2024). Apolipoprotein E Induces Lipid Accumulation Through Dgat2 That Is Prevented with Time-Restricted Feeding in Drosophila. Genes. 15(11). 1376–1376. 1 indexed citations
2.
Cao, Shiyun, Hui Shi, Haibin Mao, et al.. (2024). Recognition of BACH1 quaternary structure degrons by two F-box proteins under oxidative stress. Cell. 187(26). 7568–7584.e22. 13 indexed citations
3.
Singh, Sumeet K., Xiaowen Xie, Haibin Mao, et al.. (2023). Total chemical synthesis of sumoylated histone H4 reveals negative biochemical crosstalk with histone ubiquitylation. Chemical Communications. 59(27). 4063–4066. 1 indexed citations
4.
Giehl, Ricardo Fabiano Hettwer, Esther Riemer, Danye Qiu, et al.. (2022). INOSITOL (1,3,4) TRIPHOSPHATE 5/6 KINASE1-dependent inositol polyphosphates regulate auxin responses in Arabidopsis. PLANT PHYSIOLOGY. 190(4). 2722–2738. 29 indexed citations
5.
Cao, Shiyun, Shoukai Kang, Haibin Mao, et al.. (2022). Defining molecular glues with a dual-nanobody cannabidiol sensor. Nature Communications. 13(1). 815–815. 76 indexed citations
6.
Gutierrez, Craig, Ilan E. Chemmama, Haibin Mao, et al.. (2020). Structural dynamics of the human COP9 signalosome revealed by cross-linking mass spectrometry and integrative modeling. Proceedings of the National Academy of Sciences. 117(8). 4088–4098. 50 indexed citations
7.
Lin, Hong, Xiaozhe Zhang, Li Liu, et al.. (2020). Basis for metabolite-dependent Cullin-RING ligase deneddylation by the COP9 signalosome. Proceedings of the National Academy of Sciences. 117(8). 4117–4124. 25 indexed citations
8.
Shabek, Nitzan, et al.. (2018). Structural plasticity of D3–D14 ubiquitin ligase in strigolactone signalling. Nature. 563(7733). 652–656. 141 indexed citations
9.
Li, Heng, Kah Suan Lim, Hyungjin Kim, et al.. (2016). Allosteric Activation of Ubiquitin-Specific Proteases by β-Propeller Proteins UAF1 and WDR20. Molecular Cell. 63(2). 249–260. 55 indexed citations
10.
Laha, Debabrata, Marek Dynowski, Philipp Johnen, et al.. (2016). Inositol Polyphosphate Binding Specificity of the Jasmonate Receptor Complex. PLANT PHYSIOLOGY. 171(4). 2364–2370. 37 indexed citations
11.
Scherer, Paul, Yan Ding, Zhiqing Liu, et al.. (2016). Inositol hexakisphosphate (IP6) generated by IP5K mediates cullin-COP9 signalosome interactions and CRL function. Proceedings of the National Academy of Sciences. 113(13). 3503–3508. 30 indexed citations
12.
Yu, Clinton, Haibin Mao, Eric J. Novitsky, et al.. (2015). Gln40 deamidation blocks structural reconfiguration and activation of SCF ubiquitin ligase complex by Nedd8. Nature Communications. 6(1). 10053–10053. 37 indexed citations
13.
Moss, Britney L., Haibin Mao, Jessica M. Guseman, et al.. (2015). Rate Motifs Tune Auxin/Indole-3-Acetic Acid Degradation Dynamics. PLANT PHYSIOLOGY. 169(1). 803–813. 60 indexed citations
14.
Laha, Debabrata, Philipp Johnen, Cristina Azevedo, et al.. (2015). VIH2 Regulates the Synthesis of Inositol Pyrophosphate InsP8 and Jasmonate-Dependent Defenses in Arabidopsis. The Plant Cell. 27(4). 1082–1097. 138 indexed citations
15.
Villalobos, Luz Irina A. Calderón, Sarah Hwa In Lee, César de Oliveira, et al.. (2012). A combinatorial TIR1/AFB–Aux/IAA co-receptor system for differential sensing of auxin. Nature Chemical Biology. 8(5). 477–485. 445 indexed citations breakdown →
16.
Cui, Jixin, Qing Yao, Shan Li, et al.. (2010). Glutamine Deamidation and Dysfunction of Ubiquitin/NEDD8 Induced by a Bacterial Effector Family. Science. 329(5996). 1215–1218. 160 indexed citations
17.
Sheard, Laura B., Xu Tan, Haibin Mao, et al.. (2010). Jasmonate perception by inositol-phosphate-potentiated COI1–JAZ co-receptor. Nature. 468(7322). 400–405. 1143 indexed citations breakdown →
18.
Sharon, Michal, Haibin Mao, Elisabetta Boeri Erba, et al.. (2009). Symmetrical Modularity of the COP9 Signalosome Complex Suggests its Multifunctionality. Structure. 17(1). 31–40. 128 indexed citations

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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