Daniel Chan

57 total papers · 871 total citations
22 papers, 461 citations indexed

About

Daniel Chan is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Daniel Chan has authored 22 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Surgery and 6 papers in Oncology. Recurrent topics in Daniel Chan's work include Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (3 papers) and Patient-Provider Communication in Healthcare (2 papers). Daniel Chan is often cited by papers focused on Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (3 papers) and Patient-Provider Communication in Healthcare (2 papers). Daniel Chan collaborates with scholars based in United States, Canada and Germany. Daniel Chan's co-authors include W. Keith Miskimins, Yongxian Zhuang, Melissa A. Geller, François Sainfort, Julie A. Jacko, Rachel I. Vogel, Aidan Ablona, Eva Bjur, Paul A. Martineau and Elizabeth L. Dickson and has published in prestigious journals such as Blood, PLoS ONE and Journal of Allergy and Clinical Immunology.

In The Last Decade

Daniel Chan

22 papers receiving 449 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Chan 212 105 83 82 53 22 461
Gilles Fournier 150 0.7× 116 1.1× 54 0.7× 49 0.6× 44 0.8× 18 517
Greta Burmeister 177 0.8× 120 1.1× 98 1.2× 60 0.7× 75 1.4× 22 511
Marcos Vinícius Macêdo de Oliveira 148 0.7× 76 0.7× 39 0.5× 74 0.9× 19 0.4× 38 515
Elizabeth A. Butterworth 216 1.0× 113 1.1× 30 0.4× 89 1.1× 30 0.6× 18 477
Ludwig Gross 142 0.7× 85 0.8× 72 0.9× 84 1.0× 45 0.8× 17 526
Kelly M. Mahuron 188 0.9× 238 2.3× 166 2.0× 38 0.5× 20 0.4× 25 500
Sorbarikor Piawah 197 0.9× 202 1.9× 43 0.5× 123 1.5× 17 0.3× 18 500
Jie Du 156 0.7× 47 0.4× 91 1.1× 54 0.7× 19 0.4× 37 520
Mark Hamilton 190 0.9× 141 1.3× 64 0.8× 38 0.5× 50 0.9× 25 552
Martina Faraldi 261 1.2× 146 1.4× 37 0.4× 176 2.1× 14 0.3× 28 550

Countries citing papers authored by Daniel Chan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Chan. A scholar is included among the top collaborators of Daniel 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 Daniel Chan. Daniel Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026