Clifford Quan

2.9k citations
38 papers · 2.0k indexed · h-index 24
Topics
Peptidase Inhibition and Analysis (8 papers)Neuropeptides and Animal Physiology (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)

In The Last Decade

Clifford Quan

38 papers receiving 1.9k citations

Peers

Clifford Quan
Comparison fields: 5 of 108
  • Molecular Biology 1.2k
  • Oncology 405
  • Radiology, Nuclear Medicine and Imaging 295
  • Organic Chemistry 294
  • Immunology 240
Replace François Hyafil with:
François Hyafil France
Hiroaki Terasawa Japan
Dalia Seger Israel
Elena Ardini Italy
Eric H. Holmes United States
Bruno Catimel Australia
David C. Dalgarno United States
Sami Mahrus United States
Arnold C. Satterthwait United States
Richard I. Christopherson Australia
Clifford Quan relative to François Hyafil France François Hyafil's profile →
Citations per field
00.5×3.1×
François Hyafil · 1×
Citations per year

Countries citing papers authored by Clifford Quan

Since Specialization
Citations

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

Fields of papers citing papers by Clifford Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clifford Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Clifford Quan. A scholar is included among the top collaborators of Clifford Quan 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 Clifford Quan. Clifford Quan 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 20
2 127
3 31
4 76
5 28
6 16
7 7
8 29
9 9
10 100
11 1
12 45
13 8
14 149
15 27
16 17
17 48
18 230
19 24
20 63

About Clifford Quan

Clifford Quan is a scholar working on Immunology and Allergy, Hepatology and Gastroenterology, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (8 papers), Neuropeptides and Animal Physiology (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology and Allergy (110 citations), Molecular Biology (1.2k citations) and Oncology (405 citations). Clifford Quan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jeffrey Tom, John P. Burnier, James A. Wells, David Y. Jackson, Wayne J. Fairbrother, Germaine Fuh, Mark Stanley, Charles Eigenbrot, Laurence A. Lasky and Nicholas J. Skelton. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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