Min Zhu

33.9k citations
288 papers · 25.9k indexed · 5 hit papers · h-index 61
Topics
CAR-T cell therapy research (36 papers)Monoclonal and Polyclonal Antibodies Research (33 papers)Lymphoma Diagnosis and Treatment (22 papers)

In The Last Decade

Min Zhu

273 papers receiving 25.0k citations

Hit Papers

Multilineage Cells from Human Adipose Tissue: Implication...2001202620092017200120022004200320052.0k4.0k6.0k

Peers

Min Zhu
Comparison fields: 5 of 177
  • Genetics 11.3k
  • Surgery 8.0k
  • Molecular Biology 7.9k
  • Biomaterials 3.3k
  • Oncology 3.1k
Replace Yufang Shi with:
Yufang Shi China
Stefanie Dimmeler Germany
Michael D. Menger Germany
Joshua M. Hare United States
Giovanni Camussi Italy
Paul D. Robbins United States
Jie Li China
Yasufumi Kaneda Japan
Seppo Ylä‐Herttuala Finland
Elaine W. Raines United States
Min Zhu relative to Yufang Shi China Yufang Shi's profile →
Citations per field
00.5×2.5×
Yufang Shi · 1×
Citations per year

Countries citing papers authored by Min Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Min Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Min Zhu. A scholar is included among the top collaborators of Min Zhu 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 Min Zhu. Min Zhu 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
#WorkIndexed citations
1 1
2 1
3 2
4 2
5 3
6 6
7
Effectiveness of Metoprolol in Improving Cardiac and Motor Functions in Patients with Chronic Heart Failure: A Prospective Study
0
8 31
9 116
10 28
11 5
12 22
13 64
14 30
15 64
16 133
17 113
18 8
19
A Diarylquinoline Drug Active on the ATP Synthase of Mycobacterium tuberculosisbreakdown →
1632
20 176

About Min Zhu

Min Zhu is a scholar working on Genetics, Oncology and Pharmacology, having authored 288 papers that have together received 25.9k indexed citations. Recurring topics across this work include CAR-T cell therapy research (36 papers), Monoclonal and Polyclonal Antibodies Research (33 papers) and Lymphoma Diagnosis and Treatment (22 papers). The work is most often cited by research in Genetics (11.3k citations), Urology (1.8k citations) and Biomaterials (3.3k citations). Min Zhu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Marc H. Hedrick, Prosper Benhaim, Patricia A. Zuk, Jerry I. Huang, Hiroshi Mizuno, John K. Fraser, Helga Lorenz, Adam J. Katz, J. William Futrell and Peter Ashjian. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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