Cheng Chang

1.2k total citations
29 papers, 747 citations indexed

About

Cheng Chang is a scholar working on Molecular Biology, Pharmacology and Immunology. According to data from OpenAlex, Cheng Chang has authored 29 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Pharmacology and 6 papers in Immunology. Recurrent topics in Cheng Chang's work include Pharmacogenetics and Drug Metabolism (8 papers), Computational Drug Discovery Methods (4 papers) and Receptor Mechanisms and Signaling (4 papers). Cheng Chang is often cited by papers focused on Pharmacogenetics and Drug Metabolism (8 papers), Computational Drug Discovery Methods (4 papers) and Receptor Mechanisms and Signaling (4 papers). Cheng Chang collaborates with scholars based in United States, Singapore and Japan. Cheng Chang's co-authors include W.S. Fred Wong, Wanxing Eugene Ho, Peter W. Swaan, Sean Ekins, Li Di, Shou Ping Guan, Travis T. Wager, Phillip D. Yates, Angela C. Doran and Keith Riccardi and has published in prestigious journals such as Nature Communications, PLoS ONE and Annals of the Rheumatic Diseases.

In The Last Decade

Cheng Chang

26 papers receiving 730 citations

Peers

Cheng Chang
Comparison fields: 5 of 100
  • Molecular Biology 275
  • Pharmacology 167
  • Computational Theory and Mathematics 137
  • Oncology 122
  • Physiology 93
Replace Helga H.J. Gerets with:
Helga H.J. Gerets Belgium
Tomas Mow Denmark
Marko Goličnik Slovenia
Andrea E. DeBarber United States
Olaposi Idowu Omotuyi Nigeria
Rakesh Nagilla United States
Jessica H. Hartman United States
Diethart Schmid Austria
Hemant R. Jadhav India
Randall R. Miller United States
Helga H.J. Gerets Belgium View profile →
Citations per field, relative to Cheng Chang
Cheng Chang · 1×
Citations per year, relative to Cheng Chang
Cheng Chang · 1×

Countries citing papers authored by Cheng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Chang. A scholar is included among the top collaborators of Cheng Chang 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 Chang. Cheng Chang 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 4
2 0
3 3
4 5
5 2
6 31
7 25
8 7
9 11
10 59
11 11
12 86
13 7
14 41
15 54
16 36
17 97
18 16
19 43
20 123

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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