Ting Su

1.8k citations
64 papers · 1.3k · h-index 22

Impact in

Papers in

    • Genomics and Phylogenetic Studies 6
    • Plant and Fungal Species Descriptions 6
    • CRISPR and Genetic Engineering 4
    • RNA modifications and cancer 4
    • Pharmacogenetics and Drug Metabolism 11

Ting Su

61 papers receiving 1.3k citations

Peers

Ting Su
Comparison fields: 5 of 111
  • Pharmacology 282
  • Sensory Systems 79
  • Molecular Biology 716
  • Biochemistry 66
  • Cancer Research 126
Replace Boo Ahn Shin with:
Boo Ahn Shin South Korea
Laura Sturla Italy
Albert J. Ketterman Thailand
Ian Tietjen United States
Christopher Dunn United States
A. Berenice Aguilar‐Guadarrama Mexico
Mi Zhang China
Zhaiyi Zhang China
Chan Lee South Korea
Yasunari Takami Japan
Ting Su relative to Boo Ahn Shin South Korea Boo Ahn Shin's profile →
Citations per field
00.5×4.4×
Boo Ahn Shin · 1×
Citations per year

Countries citing papers authored by Ting Su

Since Specialization
Citations

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

Fields of papers citing papers by Ting Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199677
2 201972
3 200970
4 201768
5 201768
6 201867
7 200264
8 200562
9 200557
10 200055
11 200451
12 201142
13 201935
14 200330
15 200829
16 199728
17 200324
18 199923
19 201023
20 202223

About Ting Su

Ting Su is a scholar working on Molecular Biology, Pharmacology, Plant Science, Cancer Research and Ecology, Evolution, Behavior and Systematics, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (11 papers), Genomics and Phylogenetic Studies (6 papers), Plant Diversity and Evolution (6 papers), Plant and Fungal Species Descriptions (6 papers), Plant Pathogenic Bacteria Studies (5 papers), Plant-Microbe Interactions and Immunity (5 papers), CRISPR and Genetic Engineering (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Pharmacology (282 citations), Sensory Systems (79 citations), Molecular Biology (716 citations), Biochemistry (66 citations) and Cancer Research (126 citations). Ting Su has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xinxin Ding, David J. Waxman, Qing-Yu Zhang, Jun Gu, Roland Beckmann, Ekaterina V. Laz, Rosana Meyer, Jingdong Cheng, Otto Berninghausen and Gunnar von Heijne. Their work appears in journals such as Drug Metabolism and Disposition, The Plant Pathology Journal, Archives of Biochemistry and Biophysics, Journal of Food and Drug Analysis and Biochemical and Biophysical Research Communications.

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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