Ming Zhao

10.0k citations
199 papers · 6.7k indexed · 1 hit paper · h-index 44
Topics
Cancer Research and Treatments (88 papers)Nanoplatforms for cancer theranostics (69 papers)Virus-based gene therapy research (60 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Ming Zhao

192 papers receiving 6.7k citations

Hit Papers

Sorafenib Plus Hepatic Arterial Infusion of Oxaliplatin, ...20192026202120232019100200300

Peers

Ming Zhao
Comparison fields: 5 of 126
  • Biotechnology 3.4k
  • Biomedical Engineering 2.9k
  • Genetics 2.1k
  • Oncology 1.4k
  • Hepatology 1.3k
Replace Katsuhiro Hayashi with:
Katsuhiro Hayashi Japan
Paule Opolon France
Veena Kapoor United States
I. J. Fidler United States
Hayao Nakanishi Japan
Ravid Straussman Israel
Hans Schreiber United States
Michele W.L. Teng Australia
Winan J. van Houdt Netherlands
Joost van Gorp Netherlands
Ming Zhao relative to Katsuhiro Hayashi Japan Katsuhiro Hayashi's profile →
Citations per field
00.5×2.5×
Katsuhiro Hayashi · 1×
Citations per year

Countries citing papers authored by Ming Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhao. A scholar is included among the top collaborators of Ming Zhao 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 Ming Zhao. Ming Zhao 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 0
3 4
4 2
5 2
6 26
7 6
8 17
9 16
10 34
11 15
12 1
13 1
14 65
15 42
16 36
17 119
18 1
19 65
20
Methioninase gene therapy of human cancer cells is synergistic with recombinant methioninase treatment.
34

About Ming Zhao

Ming Zhao is a scholar working on Biotechnology, Hepatology and Genetics, having authored 199 papers that have together received 6.7k indexed citations. Recurring topics across this work include Cancer Research and Treatments (88 papers), Nanoplatforms for cancer theranostics (69 papers) and Virus-based gene therapy research (60 papers). The work is most often cited by research in Biotechnology (3.4k citations), Hepatology (1.3k citations) and Genetics (2.1k citations). Ming Zhao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Robert M. Hoffman, Michael Bouvet, Meng Yang, Yong Zhang, Sheldon Penman, Huaiyu Ma, Shukuan Li, Peihong Wu, Xiaoming Li and Ning Lyu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical 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.

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