Like Zhong

838 citations
43 papers · 684 · h-index 12

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 4
    • ATP Synthase and ATPases Research 2
    • Cancer Treatment and Pharmacology 3
    • Cancer Immunotherapy and Biomarkers 3

Like Zhong

39 papers receiving 677 citations

Peers

Like Zhong
Comparison fields: 5 of 86
  • Cancer Research 139
  • Endocrinology, Diabetes and Metabolism 147
  • Molecular Biology 422
  • Orthopedics and Sports Medicine 43
  • Oncology 132
Replace Yoshimi Aizaki with:
Yoshimi Aizaki Japan
Lei Xie China
Qinyi Zhou China
Bodo Haas Germany
Yuanyuan Xie China
Wendy S. Rosebury United States
Jianning Zhang China
Minxiang Lei China
Edwin Kanters Netherlands
En‐Hui Yao Japan
Like Zhong relative to Yoshimi Aizaki Japan Yoshimi Aizaki's profile →
Citations per field
00.5×1.5×2.2×
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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000219
2 201786
3 201236
4 201335
5 201430
6 200727
7 202325
8 201925
9 201022
10 201617
11 201213
12 201811
13 201711
14 202111
15
[Effects of Ganoderma lucidum (Leyss ex Fr) Karst compound on the proliferation and differentiation of K562 leukemic cells].
199910
16 20189
17 20119
18 20209
19 20248
20 20236

About Like Zhong

Like Zhong is a scholar working on Molecular Biology, Oncology, Cancer Research, Hematology and Immunology, having authored 43 papers that have together received 684 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Acute Myeloid Leukemia Research (5 papers), Retinoids in leukemia and cellular processes (4 papers), Cancer Treatment and Pharmacology (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Ferroptosis and cancer prognosis (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Cancer Research (139 citations), Endocrinology, Diabetes and Metabolism (147 citations), Molecular Biology (422 citations), Orthopedics and Sports Medicine (43 citations) and Oncology (132 citations). Like Zhong has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Ping Huang, Luo Fang, Li‐Juan Min, Richard S. Cameron, Feng Qin, Paul D. Phillips, Carlos M. Isales, H Rasmussen, Roni J. Bollag and Ke Ding. Their work appears in journals such as Scientific Reports, Oncotarget, Journal of Separation Science, PLoS ONE and Journal of Oncology.

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.

Explore authors with similar magnitude of impact