Tingting Su

443 total citations
30 papers, 295 citations indexed

About

Tingting Su is a scholar working on Epidemiology, Complementary and alternative medicine and Hepatology. According to data from OpenAlex, Tingting Su has authored 30 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 7 papers in Complementary and alternative medicine and 6 papers in Hepatology. Recurrent topics in Tingting Su's work include Phytochemical and Pharmacological Studies (6 papers), Medicinal plant effects and applications (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Tingting Su is often cited by papers focused on Phytochemical and Pharmacological Studies (6 papers), Medicinal plant effects and applications (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). Tingting Su collaborates with scholars based in China, Russia and Philippines. Tingting Su's co-authors include Chong Li, Yanhong Li, Xingliang Huang, Jing Li, Juan Wei, Yan Zhang, Yang Bi, Yumei Jiang, Shouhua Wang and Xiang Zhu and has published in prestigious journals such as Scientific Reports, International Journal of Pharmaceutics and LWT.

In The Last Decade

Tingting Su

30 papers receiving 291 citations

Peers

Tingting Su
Comparison fields: 5 of 77
  • Epidemiology 74
  • Plant Science 50
  • Hepatology 49
  • Molecular Biology 46
  • Complementary and alternative medicine 36
Replace Even Herlany Pereira Alves with:
Even Herlany Pereira Alves Brazil
Luíz Felipe de Carvalho França Brazil
Yan-Qiang Huang China
Yoseph Asmelash Gebru South Korea
M A Gok United Kingdom
Syed Akhtar Husain India
J K Limdi United Kingdom
Shuiqing Gui China
Fangping Liu China
Zahra Meshkat Iran
Even Herlany Pereira Alves Brazil View profile →
Citations per field, relative to Tingting Su
Tingting Su · 1×
Citations per year, relative to Tingting Su
Tingting Su · 1×

Countries citing papers authored by Tingting Su

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Su

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Su. A scholar is included among the top collaborators of Tingting Su 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 Tingting Su. Tingting Su 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
# Work Indexed citations
1 1
2 3
3 6
4 5
5 9
6 3
7 18
8 20
9 1
10 4
11 29
12 13
13 5
14 6
15
AB-PAS as a potential alternative for the diagnosis of intestinal metaplasia
2
16 7
17 24
18 9
19 49
20 17

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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