Michael D. Chan

9.6k total citations · 2 hit papers
249 papers, 6.8k citations indexed

About

Michael D. Chan is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Epidemiology. According to data from OpenAlex, Michael D. Chan has authored 249 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Pulmonary and Respiratory Medicine, 111 papers in Genetics and 66 papers in Epidemiology. Recurrent topics in Michael D. Chan's work include Brain Metastases and Treatment (126 papers), Glioma Diagnosis and Treatment (111 papers) and Meningioma and schwannoma management (59 papers). Michael D. Chan is often cited by papers focused on Brain Metastases and Treatment (126 papers), Glioma Diagnosis and Treatment (111 papers) and Meningioma and schwannoma management (59 papers). Michael D. Chan collaborates with scholars based in United States, Canada and China. Michael D. Chan's co-authors include Stephen B. Tatter, Edward G. Shaw, Hui‐Wen Lo, Ann M. Peiffer, Shadi Qasem, Adrian W. Laxton, Dana Greene-Schloesser, Mike E. Robbins, Tadas Rimkus and Thomas L. Ellis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Michael D. Chan

234 papers receiving 6.7k citations

Hit Papers

Radiation-induced brain injury: A review 2012 2026 2016 2021 2012 2016 100 200 300 400 500

Peers

Michael D. Chan
Comparison fields: 5 of 153
  • Pulmonary and Respiratory Medicine 3.1k
  • Genetics 2.4k
  • Oncology 1.8k
  • Molecular Biology 1.6k
  • Epidemiology 1.5k
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Steven N. Kalkanis United States View profile →
Citations per field, relative to Michael D. Chan
Michael D. Chan · 1×
Citations per year, relative to Michael D. Chan
Michael D. Chan · 1×

Countries citing papers authored by Michael D. Chan

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael D. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Chan. A scholar is included among the top collaborators of Michael D. 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 Michael D. Chan. Michael D. 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 0
2 0
3 1
4 1
5 0
6 4
7 0
8 3
9 3
10 14
11 2
12 77
13 8
14 259
15 32
16 75
17 102
18 1
19 2
20 83

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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