Haibin Mao

4.4k citations
18 papers · 2.6k indexed · 2 hit papers · h-index 15
Topics
Ubiquitin and proteasome pathways (8 papers)Plant Molecular Biology Research (4 papers)Endoplasmic Reticulum Stress and Disease (3 papers)

In The Last Decade

Haibin Mao

18 papers receiving 2.5k citations

Hit Papers

Jasmonate perception by inositol-phosphate-potentiated CO...2010202620152020201020122505007501000

Peers

Haibin Mao
Comparison fields: 5 of 89
  • Plant Science 1.8k
  • Molecular Biology 1.4k
  • Insect Science 544
  • Ecology, Evolution, Behavior and Systematics 305
  • Cell Biology 155
Replace Dominique Eeckhout with:
Dominique Eeckhout Belgium
Esther Lechner France
David Mackey United States
John Withers United States
Ari Sadanandom United Kingdom
Jan Sklenář United Kingdom
Nadim W. Alkharouf United States
Peter Brodersen Denmark
Tsuneaki Asai United States
Guido Sessa Israel
Haibin Mao relative to Dominique Eeckhout Belgium Dominique Eeckhout's profile →
Citations per field
00.5×1.5×1.9×
Dominique Eeckhout · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 13
3 1
4 29
5 76
6 50
7 25
8 141
9 55
10 37
11 30
12 60
13 37
14 138
15
A combinatorial TIR1/AFB–Aux/IAA co-receptor system for differential sensing of auxinbreakdown →
445
16 160
17
Jasmonate perception by inositol-phosphate-potentiated COI1–JAZ co-receptorbreakdown →
1143
18 128

About Haibin Mao

Haibin Mao is a scholar working on Aging, Cell Biology and Molecular Biology, having authored 18 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Plant Molecular Biology Research (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Plant Science (1.8k citations), Insect Science (544 citations) and Molecular Biology (1.4k citations). Haibin Mao has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Ning Zheng, Thomas R. Hinds, Laura B. Sheard, Xu Tan, Michal Sharon, John Withers, Fong‐Fu Hsu, Gregg A. Howe, Josep Rizo and Gili Ben‐Nissan. Their work appears in journals such as Nature, Science and Cell.

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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