Zhao Su

3.4k citations
32 papers · 2.6k · h-index 23

Impact in

Papers in

    • RNA modifications and cancer 5
    • RNA Research and Splicing 4
    • RNA and protein synthesis mechanisms 4
    • Ubiquitin and proteasome pathways 3
    • Plant Stress Responses and Tolerance 7
    • Plant Molecular Biology Research 6

Zhao Su

30 papers receiving 2.6k citations

Peers

Zhao Su
Comparison fields: 5 of 118
  • Pathology and Forensic Medicine 374
  • Molecular Biology 1.4k
  • Oncology 499
  • Plant Science 683
  • Immunology 309
Replace Joan Bertran with:
Joan Bertran Spain
Attila Reményi Hungary
Shilai Bao China
Laura A. Lindsey‐Boltz United States
Wolfgang Oppliger Switzerland
Shuichan Xu United States
Lorraine Pillus United States
Yoshimichi Nakatsu Japan
Hiroshi Shima Japan
George Thomas Switzerland
Zhao Su relative to Joan Bertran Spain Joan Bertran's profile →
Citations per field
00.5×5.3×
Joan Bertran · 1×
Citations per year

Countries citing papers authored by Zhao Su

Since Specialization
Citations

This map shows the geographic impact of Zhao 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 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 Su more than expected).

Fields of papers citing papers by Zhao Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006259
2 2008255
3 1996244
4 2013181
5 2009169
6 2016168
7 2006154
8 1996115
9 2007106
10 200995
11 199592
12 201191
13 201089
14 201789
15 201880
16 200665
17 201152
18 202051
19
Apoptosis mediates the selective toxicity of caffeic acid phenethyl ester (CAPE) toward oncogene-transformed rat embryo fibroblast cells.
199644
20 201939

About Zhao Su

Zhao Su is a scholar working on Molecular Biology, Plant Science, Oncology, Pathology and Forensic Medicine and Genetics, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (7 papers), Plant Molecular Biology Research (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (4 papers), Cancer Mechanisms and Therapy (4 papers), Peptidase Inhibition and Analysis (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (374 citations), Molecular Biology (1.4k citations), Oncology (499 citations), Plant Science (683 citations) and Immunology (309 citations). Zhao Su has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Paul B. Fisher, Sarah M. Assmann, Devanand Sarkar, Philip C. Bevilacqua, Seok‐Geun Lee, Laura E. Ritchey, Neil I. Goldstein, Hong Mā, Pankaj Gupta and Luni Emdad. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Plant Biology, Plant Molecular Biology, Journal of Computational Physics and The Plant Journal.

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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