Cheng-Teng Ip

513 total citations
25 papers, 299 citations indexed

About

Cheng-Teng Ip is a scholar working on Cognitive Neuroscience, Pharmacology and Experimental and Cognitive Psychology. According to data from OpenAlex, Cheng-Teng Ip has authored 25 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 11 papers in Pharmacology and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Cheng-Teng Ip's work include Functional Brain Connectivity Studies (14 papers), Treatment of Major Depression (11 papers) and Mental Health Research Topics (6 papers). Cheng-Teng Ip is often cited by papers focused on Functional Brain Connectivity Studies (14 papers), Treatment of Major Depression (11 papers) and Mental Health Research Topics (6 papers). Cheng-Teng Ip collaborates with scholars based in Denmark, Switzerland and Macao. Cheng-Teng Ip's co-authors include Sebastian Olbrich, Brice Ozenne, Gitte M. Knudsen, Martin Balslev Jørgensen, Vibeke H. Dam, Vibe G. Frøkjær, Melanie Ganz, Hailing Wang, Shimin Fu and Dea Siggaard Stenbæk and has published in prestigious journals such as Scientific Reports, Biological Psychiatry and Brain Research.

In The Last Decade

Cheng-Teng Ip

22 papers receiving 295 citations

Peers

Cheng-Teng Ip
Comparison fields: 5 of 54
  • Cognitive Neuroscience 192
  • Pharmacology 78
  • Experimental and Cognitive Psychology 76
  • Biological Psychiatry 45
  • Cardiology and Cardiovascular Medicine 33
Replace Hongtao Ruan with:
Hongtao Ruan United Kingdom
Marieke Martens United Kingdom
Lingling Hua China
Nadja Dörig Switzerland
Colleen Rollins United Kingdom
Luoyi Xu China
Jodie Gray United States
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Hongtao Ruan United Kingdom View profile →
Citations per field, relative to Cheng-Teng Ip
Cheng-Teng Ip · 1×
Citations per year, relative to Cheng-Teng Ip
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Countries citing papers authored by Cheng-Teng Ip

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Teng Ip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Teng Ip. 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 Cheng-Teng Ip. The network helps show where Cheng-Teng Ip may publish in the future.

Co-authorship network of co-authors of Cheng-Teng Ip

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Teng Ip. A scholar is included among the top collaborators of Cheng-Teng Ip 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 Cheng-Teng Ip. Cheng-Teng Ip 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 0
2 0
3 1
4 0
5 7
6 6
7 3
8 2
9 5
10 15
11 7
12 3
13 13
14 43
15 19
16 18
17 38
18 18
19 39
20 8

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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