Gang Lu

4.0k citations
18 papers · 1.9k indexed · 1 hit paper · h-index 15
Topics
Protein Degradation and Inhibitors (14 papers)Ubiquitin and proteasome pathways (9 papers)Multiple Myeloma Research and Treatments (9 papers)

In The Last Decade

Gang Lu

18 papers receiving 1.8k citations

Hit Papers

The Myeloma Drug Lenalidomide Promotes the Cereblon-Depen...201320262017202120132505007501000

Peers

Gang Lu
Comparison fields: 5 of 77
  • Molecular Biology 1.7k
  • Hematology 772
  • Oncology 535
  • Immunology 128
  • Genetics 71
Replace Sabrina Manni with:
Sabrina Manni Italy
Christine R. Klaus Germany
Michael F. Emmons United States
Erik Kupperman United States
Andrea Basile Italy
James T. Lynch United Kingdom
Jennifer M. Atkinson United States
Niranjan Yanamandra United States
Christine M. Stellrecht United States
Cédric Leroy France
Gang Lu relative to Sabrina Manni Italy Sabrina Manni's profile →
Citations per field
00.5×3.6×
Sabrina Manni · 1×
Citations per year

Countries citing papers authored by Gang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Gang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Lu. A scholar is included among the top collaborators of Gang Lu 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 Gang Lu. Gang Lu 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 4
2 15
3 100
4 23
5 65
6 30
7 3
8 16
9 18
10 7
11 56
12 68
13 203
14 60
15
The Myeloma Drug Lenalidomide Promotes the Cereblon-Dependent Destruction of Ikaros Proteinsbreakdown →
1108
16 59
17 31
18 20

About Gang Lu

Gang Lu is a scholar working on Hematology, Molecular Biology and Sensory Systems, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (14 papers), Ubiquitin and proteasome pathways (9 papers) and Multiple Myeloma Research and Treatments (9 papers). The work is most often cited by research in Hematology (772 citations), Molecular Biology (1.7k citations) and Oncology (535 citations). Gang Lu has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Richard E. Middleton, Kwok‐Kin Wong, Christopher J. Ott, Huahang Sun, William G. Kaelin, Constantine S. Mitsiades, James E. Bradner, Brian E. Cathers, Chin-Chun Lu and Laurie A. LeBrun. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Blood.

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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