Like Zhong

854 citations
41 papers · 702 · h-index 12

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 4
    • Ubiquitin and proteasome pathways 2
    • Angiogenesis and VEGF in Cancer 2

Like Zhong

40 papers receiving 695 citations

Peers

Like Zhong
Comparison fields: 5 of 80
  • Cancer Research 123
  • Endocrinology, Diabetes and Metabolism 135
  • Molecular Biology 367
  • Hematology 45
  • Orthopedics and Sports Medicine 33
Replace Yoshimi Aizaki with:
Yoshimi Aizaki Japan
Qinyi Zhou China
Edwin Kanters Netherlands
Yuanyuan Xie China
Wendy S. Rosebury United States
Lei Xie China
Hsiang‐Ping Lee Taiwan
Myeung Su Lee South Korea
Heng‐Yuan Tang United States
Yande Guo United States
Like Zhong relative to Yoshimi Aizaki Japan Yoshimi Aizaki's profile →
Citations per field
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Yoshimi Aizaki · 1×
Citations per year

Countries citing papers authored by Like Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Like Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000223
2 201786
3 201237
4 201335
5 201431
6 202328
7 200727
8 201925
9 201022
10 201617
11 202113
12 201213
13 201811
14 201711
15 201810
16
[Effects of Ganoderma lucidum (Leyss ex Fr) Karst compound on the proliferation and differentiation of K562 leukemic cells].
199910
17 20209
18 20249
19 20119
20 20177

About Like Zhong

Like Zhong is a scholar working on Molecular Biology, Oncology, Hematology, Cancer Research and Complementary and alternative medicine, having authored 41 papers that have together received 702 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Acute Myeloid Leukemia Research (5 papers), Retinoids in leukemia and cellular processes (4 papers), Ferroptosis and cancer prognosis (3 papers), Ubiquitin and proteasome pathways (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Platelet Disorders and Treatments (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cancer Research (123 citations), Endocrinology, Diabetes and Metabolism (135 citations), Molecular Biology (367 citations), Hematology (45 citations) and Orthopedics and Sports Medicine (33 citations). Like Zhong has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Luo Fang, Carlos M. Isales, Ke Ding, H Rasmussen, Roni J. Bollag, Qing Peter Wild Zhong, Richard S. Cameron, Paul D. Phillips, Anthony L. Mulloy and Li‐Juan Min. Their work appears in journals such as PLoS ONE, Oncotarget, Journal of Separation Science, Scientific Reports and Journal of Dental 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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