Zhao-zhong Su

1.0k citations
14 papers · 870 indexed · h-index 14

Zhao-zhong Su

14 papers receiving 855 citations

Peers

Zhao-zhong Su
Comparison fields: 5 of 79
  • Oncology 340
  • Biotechnology 81
  • Pathology and Forensic Medicine 168
  • Genetics 247
  • Cancer Research 115
Replace Ailsa J. Frew with:
Ailsa J. Frew Australia
Harry A. Rogoff United States
Nicholas T. Woods United States
Joshua C. Saldivar United States
Xiaolan Feng Canada
Martin Loignon Canada
Yong-Sam Jung United States
Jocelyn H. Wright United States
Joe M. Angel United States
Walter Bardenheuer Germany
Zhao-zhong Su relative to Ailsa J. Frew Australia Ailsa J. Frew's profile →
Citations per field
00.5×3.7×
Ailsa J. Frew · 1×
Citations per year

Countries citing papers authored by Zhao-zhong Su

Since Specialization
Citations

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

Fields of papers citing papers by Zhao-zhong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 201249
2 201136
3 201114
4
Developing an effective gene therapy for prostate cancer: New technologies with potential to translate from the laboratory into the clinic.
201123
5 2010105
6 2010102
7 201065
8 201050
9 201098
10 201078
11 200836
12 200826
13 2005124
14 200564

About Zhao-zhong Su

Zhao-zhong Su is a scholar working on Biotechnology, Genetics, Pathology and Forensic Medicine, Oncology and Cell Biology, having authored 14 papers that have together received 870 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Cancer Mechanisms and Therapy (4 papers), CAR-T cell therapy research (4 papers), Cancer Research and Treatments (3 papers), RNA Interference and Gene Delivery (3 papers), Autophagy in Disease and Therapy (2 papers), Peptidase Inhibition and Analysis (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Oncology (340 citations), Biotechnology (81 citations), Pathology and Forensic Medicine (168 citations), Genetics (247 citations) and Cancer Research (115 citations). Zhao-zhong Su has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Paul B. Fisher, Devanand Sarkar, Sujit K. Bhutia, Belal Azab, Swadesh K. Das, Seok‐Geun Lee, Paul Dent, Irina V. Lebedeva, Luni Emdad and Rupesh Dash. Their work appears in journals such as Cancer Research, Proceedings of the National Academy of Sciences, Autophagy, Molecular Cancer Therapeutics and Pharmacology & Therapeutics.

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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