Andrew Chan

13.6k total citations
245 papers, 5.7k citations indexed

About

Andrew Chan is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Andrew Chan has authored 245 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Pathology and Forensic Medicine, 56 papers in Oncology and 46 papers in Immunology. Recurrent topics in Andrew Chan's work include Multiple Sclerosis Research Studies (117 papers), Polyomavirus and related diseases (37 papers) and Peripheral Neuropathies and Disorders (30 papers). Andrew Chan is often cited by papers focused on Multiple Sclerosis Research Studies (117 papers), Polyomavirus and related diseases (37 papers) and Peripheral Neuropathies and Disorders (30 papers). Andrew Chan collaborates with scholars based in Germany, Switzerland and United States. Andrew Chan's co-authors include Ralf Gold, Robert Hoepner, Tim Magnus, Kerstin Hellwig, Aiden Haghikia, Klaus V. Toyka, Anke Salmen, Ralf Gold, Ingo Kleiter and Karon E. MacLean and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Oncology.

In The Last Decade

Andrew Chan

231 papers receiving 5.6k citations

Peers

Andrew Chan
Comparison fields: 5 of 151
  • Pathology and Forensic Medicine 2.3k
  • Neurology 1.2k
  • Immunology 1.2k
  • Oncology 1.1k
  • Molecular Biology 1.0k
Replace Robert Weissert with:
Robert Weissert Germany
Renaud Du Pasquier Switzerland
Alireza Minagar United States
Ari Green United States
Anat Achiron Israel
Ellen M. Mowry United States
Mohammad Ali Sahraian Iran
Uwe K. Zettl Germany
Ruth Dobson United Kingdom
Frank Weber Germany
Robert Weissert Germany View profile →
Citations per field, relative to Andrew Chan
Andrew Chan · 1×
Citations per year, relative to Andrew Chan
Andrew Chan · 1×

Countries citing papers authored by Andrew Chan

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Chan. A scholar is included among the top collaborators of Andrew Chan 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 Andrew Chan. Andrew Chan 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 3
2 1
3 2
4 1
5 3
6 16
7 3
8 12
9 4
10 18
11 15
12 2
13 2
14 11
15 4
16 4
17 4
18 14
19 8
20 24

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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