Zhimin Gu

819 citations
20 papers · 642 indexed · h-index 12
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments 11
    • Protein Degradation and Inhibitors 8
    • Ubiquitin and proteasome pathways 6
    • Histone Deacetylase Inhibitors Research 2
    • Peptidase Inhibition and Analysis 3
    • Drug Transport and Resistance Mechanisms 2
    • Chronic Lymphocytic Leukemia Research 3
    • HIV/AIDS drug development and treatment 2

Zhimin Gu

19 papers receiving 640 citations

Peers

Zhimin Gu
Comparison fields: 5 of 61
  • Hematology 235
  • Cancer Research 144
  • Molecular Biology 459
  • Oncology 169
  • Genetics 59
Replace Ulrike Maegdefrau with:
Ulrike Maegdefrau Germany
Giorgia Federico Italy
Séverine Cunat France
Donald P. Lesslie United States
Robert S. Gronke United States
Myrna Fisher United States
Arthur Groy United States
Jingping Ge China
Joanna Zabkiewicz United Kingdom
Huiying Zhi United States
Zhimin Gu relative to Ulrike Maegdefrau Germany Ulrike Maegdefrau's profile →
Citations per field
00.5×2.7×
Ulrike Maegdefrau · 1×
Citations per year

Countries citing papers authored by Zhimin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Zhimin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Zhimin Gu, 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 Zhimin Gu Line = papers co-authored together Zhimin Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202030
2 201870
3 20171
4 201734
5 2017114
6 201537
7 201587
8 20152
9 201540
10 201565
11 201511
12 20147
13 201422
14 201457
15 20140
16 20141
17 201357
18 20134
19 20131
20 20132

About Zhimin Gu

Zhimin Gu is a scholar working on Hematology, Genetics and Toxicology, having authored 20 papers that have together received 642 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), Protein Degradation and Inhibitors (8 papers), Ubiquitin and proteasome pathways (6 papers), Chronic Lymphocytic Leukemia Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Hematology (235 citations), Cancer Research (144 citations) and Molecular Biology (459 citations). Zhimin Gu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Fenghuang Zhan, Guido Tricot, Jiliang Xia, Hongwei Xu, Ye Yang, Ivana Frech, Jumei Shi, Wei Liu, Erik Wendlandt and Wen Zhou. Their work appears in journals such as Journal of Clinical Investigation, Blood and Cancer 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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