Christopher C.Q. Chin

1.1k citations
34 papers · 961 indexed · h-index 17
Topics
Glycosylation and Glycoproteins Research (9 papers)Peptidase Inhibition and Analysis (5 papers)Enzyme Structure and Function (5 papers)
Partner nations
United StatesChinaNorway

In The Last Decade

Christopher C.Q. Chin

34 papers receiving 919 citations

Peers

Christopher C.Q. Chin
Comparison fields: 5 of 87
  • Molecular Biology 551
  • Pharmacology 300
  • Oncology 212
  • Spectroscopy 158
  • Computational Theory and Mathematics 146
Replace Shaun D. Black with:
Shaun D. Black United States
Jung-Ja P. Kim United States
Martin P. Edwards United States
Jiřı́ Hudeček Czechia
Jill R. Cupp‐Vickery United States
Ker R. Marshall United Kingdom
Michael A. Noble United Kingdom
Veronika Navrátilová Czechia
Reetta Raag United States
Mario Lobell Germany
Christopher C.Q. Chin relative to Shaun D. Black United States Shaun D. Black's profile →
Citations per field
00.5×1.5×
Shaun D. Black · 1×
Citations per year

Countries citing papers authored by Christopher C.Q. Chin

Since Specialization
Citations

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

Fields of papers citing papers by Christopher C.Q. Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher C.Q. Chin. 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 Christopher C.Q. Chin. The network helps show where Christopher C.Q. Chin may publish in the future.

Co-authorship network of co-authors of Christopher C.Q. Chin

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher C.Q. Chin. A scholar is included among the top collaborators of Christopher C.Q. Chin 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 Christopher C.Q. Chin. Christopher C.Q. Chin 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
#WorkIndexed citations
1 3
2 26
3 14
4 62
5 25
6 20
7 31
8 2
9 1
10 3
11 9
12 22
13 7
14 6
15 7
16 23
17 26
18 23
19 63
20 17

About Christopher C.Q. Chin

Christopher C.Q. Chin is a scholar working on Biochemistry, Biotechnology and Molecular Biology, having authored 34 papers that have together received 961 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Peptidase Inhibition and Analysis (5 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Pharmacology (300 citations), Spectroscopy (158 citations) and Computational Theory and Mathematics (146 citations). Christopher C.Q. Chin has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Finn Wold, James R. Halpert, Michael R. Wester, C.D. Stout, Eric F. Johnson, Mark A. White, Emily E. Scott, You Ai He, John M. Brewer and Harshica Fernando. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

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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