Haipeng Gong

10.7k citations
80 papers · 1.9k indexed · 1 hit paper · h-index 22
Topics
Protein Structure and Dynamics (29 papers)RNA and protein synthesis mechanisms (15 papers)Nuclear Physics and Applications (10 papers)

In The Last Decade

Haipeng Gong

72 papers receiving 1.9k citations

Hit Papers

Structure of the human voltage-gated sodium channel Na v ...20182026202020232018100200300

Peers

Haipeng Gong
Comparison fields: 5 of 133
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 277
  • Materials Chemistry 221
  • Computational Theory and Mathematics 148
  • Cardiology and Cardiovascular Medicine 123
Replace Jong Cheol Jeong with:
Jong Cheol Jeong United States
Yi Zheng United States
Soojay Banerjee United States
Petr Heřman Czechia
Amer Alam United States
Henning Tidow Germany
Carlos X. Hernández United States
Fangqiang Zhu United States
Nathaniel J. Traaseth United States
David Dotson United States
Haipeng Gong relative to Jong Cheol Jeong United States Jong Cheol Jeong's profile →
Citations per field
00.5×1.6×
Jong Cheol Jeong · 1×
Citations per year

Countries citing papers authored by Haipeng Gong

Since Specialization
Citations

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

Fields of papers citing papers by Haipeng Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haipeng Gong

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 3
5 14
6 2
7 4
8 11
9 24
10 4
11 17
12 21
13 9
14 11
15 8
16 24
17 12
18 22
19 1
20 17

About Haipeng Gong

Haipeng Gong is a scholar working on Radiation, Molecular Biology and Cellular and Molecular Neuroscience, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (29 papers), RNA and protein synthesis mechanisms (15 papers) and Nuclear Physics and Applications (10 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Cellular and Molecular Neuroscience (277 citations) and Molecular Medicine (49 citations). Haipeng Gong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Nieng Yan, Jianyang Zeng, Yufeng Liu, Hailin Hu, Ligong Chen, Huihui Liu, Jiawei Wang, Linfeng Sun, Shangyu Dang and Yongjian Huang. Their work appears in journals such as Nature, Science and Nucleic Acids Research.

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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