Bing Hao

4.1k citations
69 papers · 3.3k · h-index 28

Impact in

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

Papers in

    • Ubiquitin and proteasome pathways 13
    • Protein Degradation and Inhibitors 4
    • Peptidase Inhibition and Analysis 7
    • Cancer-related Molecular Pathways 6

Bing Hao

63 papers receiving 3.2k citations

Peers

Bing Hao
Comparison fields: 5 of 120
  • Cell Biology 580
  • Molecular Biology 2.3k
  • Oncology 649
  • Genetics 383
  • Cancer Research 163
Replace Marc Blondel with:
Marc Blondel France
Heidi Schubert United States
Tiina A. Salminen Finland
Pablo S. Aguilar Uruguay
Sarah Maslen United Kingdom
Paul J. Boersema Netherlands
Maria Monti Italy
Christopher J. Brandl Canada
Ujwal Shinde United States
Dan Bach Kristensen Japan
Bing Hao relative to Marc Blondel France Marc Blondel's profile →
Citations per field
00.5×1.5×2.0×
Marc Blondel · 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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007381
2 2002337
3 1998308
4 2005249
5 2012188
6 2010170
7 2000127
8 2008113
9 1997110
10 200297
11 200876
12 202273
13 201269
14 200459
15 199958
16 200252
17 201350
18 201847
19 201347
20 201739

About Bing Hao

Bing Hao is a scholar working on Molecular Biology, Oncology, Genetics, Ecology and Plant Science, having authored 69 papers that have together received 3.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (13 papers), Bacterial Genetics and Biotechnology (12 papers), Enzyme Structure and Function (7 papers), Peptidase Inhibition and Analysis (7 papers), Bacteriophages and microbial interactions (7 papers), Cancer-related Molecular Pathways (6 papers), Autophagy in Disease and Therapy (4 papers) and Protein Degradation and Inhibitors (4 papers). The work is most often cited by research in Cell Biology (580 citations), Molecular Biology (2.3k citations), Oncology (649 citations), Genetics (383 citations) and Cancer Research (163 citations). Bing Hao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Michael K. Chan, Weimin Gong, Yunfeng Li, Nikola P. Pavletich, Joseph A. Krzycki, J. Wade Harper, Mathew E. Sowa, Michele Pagano, G. González and Marie‐Alda Gilles‐Gonzalez. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Biochemistry, Journal of Biological Chemistry and Plant Physiology and Biochemistry.

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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