Jun Qi

26.3k total citations · 4 hit papers
177 papers, 9.3k citations indexed

About

Jun Qi is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Jun Qi has authored 177 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Molecular Biology, 47 papers in Hematology and 31 papers in Oncology. Recurrent topics in Jun Qi's work include Protein Degradation and Inhibitors (86 papers), Multiple Myeloma Research and Treatments (36 papers) and Ubiquitin and proteasome pathways (35 papers). Jun Qi is often cited by papers focused on Protein Degradation and Inhibitors (86 papers), Multiple Myeloma Research and Treatments (36 papers) and Ubiquitin and proteasome pathways (35 papers). Jun Qi collaborates with scholars based in United States, China and United Kingdom. Jun Qi's co-authors include James E. Bradner, Andrew L. Kung, Junwei Shi, Christopher R. Vakoc, Scott J. Rodig, Johannes Zuber, Agustin Chicas, Harald Herrmann, Meredith J. Taylor and Edward Allan R. Sison and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jun Qi

166 papers receiving 9.2k citations

Hit Papers

RNAi screen identifies Brd4 as a therapeutic target in ac... 2011 2026 2016 2021 2011 2018 2013 2013 400 800 1.2k

Peers

Jun Qi
Comparison fields: 5 of 135
  • Molecular Biology 7.7k
  • Hematology 2.3k
  • Oncology 1.8k
  • Cancer Research 698
  • Immunology 611
Replace Kathleen M. Sakamoto with:
Kathleen M. Sakamoto United States
Sharon Shacham United States
Paolo Salomoni United Kingdom
Anskar Y.H. Leung Hong Kong
Silvano Capitani Italy
Anke Klippel United States
Antonia Follenzi Italy
Frank N. van Leeuwen Netherlands
Shinichi Saito Japan
Clara Nervi Italy
Kathleen M. Sakamoto United States View profile →
Citations per field, relative to Jun Qi
Jun Qi · 1×
Citations per year, relative to Jun Qi
Jun Qi · 1×

Countries citing papers authored by Jun Qi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Qi. A scholar is included among the top collaborators of Jun Qi 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 Jun Qi. Jun Qi 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
# Work Indexed citations
1 1
2 0
3 12
4 5
5 13
6 12
7 15
8 123
9 45
10 75
11 44
12 73
13 59
14 155
15 112
16 12
17 51
18 68
19
Targeting MYCN in Neuroblastoma by BET Bromodomain Inhibition breakdown →
457
20 158

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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