Justine D. Miller

3.8k citations
14 papers · 2.8k indexed · 2 hit papers · h-index 10
Topics
Pluripotent Stem Cells Research (8 papers)CRISPR and Genetic Engineering (6 papers)Renal and related cancers (4 papers)

In The Last Decade

Justine D. Miller

14 papers receiving 2.8k citations

Hit Papers

Differential methylation of tissue- and cancer-specific C...200920262014202020092013250500750

Peers

Justine D. Miller
Comparison fields: 5 of 107
  • Molecular Biology 2.5k
  • Physiology 445
  • Genetics 314
  • Biomedical Engineering 313
  • Cellular and Molecular Neuroscience 264
Replace Sangyeul Han with:
Sangyeul Han United States
Dieter Egli United States
Gist F. Croft United States
Fumiaki Saito Japan
Katsuhiro Kato Japan
Rajini Srinivasan United States
María J. Barrero Spain
Judith Stegmüller Germany
X. Shawn Liu United States
Tracy L. Hagemann United States
Justine D. Miller relative to Sangyeul Han United States Sangyeul Han's profile →
Citations per field
00.5×6.3×
Sangyeul Han · 1×
Citations per year

Countries citing papers authored by Justine D. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Justine D. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justine D. Miller

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 130
2 11
3 3
4
Human iPSC-Based Modeling of Late-Onset Disease via Progerin-Induced Agingbreakdown →
549
5 1
6 76
7 6
8 253
9 62
10 444
11 375
12
Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblastsbreakdown →
867
13 42
14 6

About Justine D. Miller

Justine D. Miller is a scholar working on Ophthalmology, Molecular Biology and Clinical Biochemistry, having authored 14 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (6 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Aging (76 citations), Molecular Biology (2.5k citations) and Developmental Neuroscience (123 citations). Justine D. Miller has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include George Q. Daley, Thorsten M. Schlaeger, Hongguang Huo, In-Hyun Park, Yuin‐Han Loh, Sabine Loewer, Suneet Agarwal, Christine Ladd‐Acosta, Martin J. Aryee and Peter Murakami. Their work appears in journals such as Nature, Nature Genetics and Blood.

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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