Bing Hao

4.1k citations
68 papers · 3.4k · h-index 29

Impact in

    • Ubiquitin and proteasome pathways
    • RNA and protein synthesis mechanisms
    • Protein Degradation and Inhibitors
    • Photosynthetic Processes and Mechanisms
    • Hemoglobin structure and function

Papers in

    • Ubiquitin and proteasome pathways 12
    • Protein Degradation and Inhibitors 4
    • Signaling Pathways in Disease 4
    • Peptidase Inhibition and Analysis 7
    • Cancer-related Molecular Pathways 5

Bing Hao

63 papers receiving 3.3k citations

Peers

Bing Hao
Comparison fields: 5 of 122
  • Molecular Biology 2.4k
  • Cell Biology 572
  • Oncology 665
  • Genetics 386
  • Cancer Research 163
Replace Weimin Gong with:
Weimin Gong China
Marc Blondel France
Jeffrey C. Silva United States
Heidi Schubert United States
Sarah Maslen United Kingdom
Ujwal P. Shinde United States
Luciana Dente Italy
Pablo S. Aguilar Uruguay
N.H. Keep United Kingdom
Xiao‐Bo Qiu China
Bing Hao relative to Weimin Gong China Weimin Gong's profile →
Citations per field
00.5×1.7×
Weimin Gong · 1×
Citations per year

Countries citing papers authored by Bing Hao

Since Specialization
Citations

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

Fields of papers citing papers by Bing Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bing Hao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bing Hao Line = papers co-authored together Bing Hao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007390
2 2002351
3 1998303
4 2005253
5 2012198
6 2010165
7 2000127
8 2008114
9 1997111
10 200298
11 202286
12 200881
13 201269
14 200459
15 199958
16 200252
17 201351
18 201849
19 201348
20 201744

About Bing Hao

Bing Hao is a scholar working on Molecular Biology, Oncology, Genetics, Cell Biology and Infectious Diseases, having authored 68 papers that have together received 3.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Ubiquitin and proteasome pathways (12 papers), Bacteriophages and microbial interactions (7 papers), Enzyme Structure and Function (7 papers), Peptidase Inhibition and Analysis (7 papers), Cancer-related Molecular Pathways (5 papers), Protein Degradation and Inhibitors (4 papers) and Signaling Pathways in Disease (4 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Cell Biology (572 citations), Oncology (665 citations), Genetics (386 citations) and Cancer Research (163 citations). Bing Hao has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Michael K. Chan, Weimin Gong, Yunfeng Li, Nikola P. Pavletich, Joseph Adrian Krzycki, J. Wade Harper, Mathew E. Sowa, Michele Pagano, G. González and Sheref S. Mansy. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Biochemistry and Journal of Molecular Biology.

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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