Michael Miller

32.1k citations
42 papers · 1.3k indexed · 2 hit papers · h-index 16
Topics
Gene expression and cancer classification (5 papers)Bioinformatics and Genomic Networks (5 papers)Biomedical Text Mining and Ontologies (4 papers)

In The Last Decade

Michael Miller

34 papers receiving 1.2k citations

Hit Papers

Interpreting type 1 diabetes risk with genetics and singl...20212026202220242021202150100150200

Peers

Michael Miller
Comparison fields: 5 of 134
  • Molecular Biology 455
  • Genetics 292
  • Information Systems 210
  • Cognitive Neuroscience 177
  • Surgery 163
Replace Gerard Conway with:
Gerard Conway United Kingdom
Timo Hannay United Kingdom
Rebecca S. Crowley United States
Kevin Page United Kingdom
Chris Burns United Kingdom
Robert Wilensky United States
Xiaoyi Wang China
Jidong Chen China
Lisa Friedland United States
Michael Miller relative to Gerard Conway United Kingdom Gerard Conway's profile →
Citations per field
00.5×
Gerard Conway · 1×
Citations per year

Countries citing papers authored by Michael Miller

Since Specialization
Citations

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

Fields of papers citing papers by Michael Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Miller. A scholar is included among the top collaborators of Michael Miller 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 Miller. Michael Miller 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 0
2 0
3 0
4 0
5 34
6 15
7
Interpreting type 1 diabetes risk with genetics and single-cell epigenomicsbreakdown →
205
8 89
9
A single-cell atlas of chromatin accessibility in the human genomebreakdown →
200
10 22
11 35
12 84
13 1
14 1
15 10
16
Extending expertise through conference calls and blogging.
1
17 58
18
YouTube for Business: Online Video Marketing for Any Business
20
19 1
20 86

About Michael Miller

Michael Miller is a scholar working on Cognitive Neuroscience, Neurology and Cancer Research, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Bioinformatics and Genomic Networks (5 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Information Systems and Management (89 citations), Genetics (292 citations) and Information Systems (210 citations). Michael Miller has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Sebastian Preißl, Kyle J. Gaulton, Joshua Chiou, Yunjiang Qiu, Maike Sander, Mei-Lin Okino, David U. Gorkin, Jee Yun Han, Allen Wang and Kai Zhang. Their work appears in journals such as Nature, Cell and Nature Genetics.

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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