Andrew Miller

2.4k total citations · 2 hit papers
25 papers, 1.7k citations indexed

About

Andrew Miller is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Andrew Miller has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Andrew Miller's work include Reproductive Biology and Fertility (3 papers), Aortic Disease and Treatment Approaches (3 papers) and Prenatal Screening and Diagnostics (3 papers). Andrew Miller is often cited by papers focused on Reproductive Biology and Fertility (3 papers), Aortic Disease and Treatment Approaches (3 papers) and Prenatal Screening and Diagnostics (3 papers). Andrew Miller collaborates with scholars based in United States, New Zealand and Australia. Andrew Miller's co-authors include James Harraway, Parry Guilford, Anthony E. Reeve, Sonya M. Diakiw, Adrian Johnston, Don Perugini, Jonathan M. M. Hall, Michelle Perugini, Matthew VerMilyea and A. Picou and has published in prestigious journals such as Nature, Circulation and Nature Communications.

In The Last Decade

Andrew Miller

21 papers receiving 1.6k citations

Hit Papers

E-cadherin germline mutat... 1998 2026 2007 2016 1998 2020 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andrew Miller United States 9 832 452 449 297 273 25 1.7k
Sonja Pavlović Serbia 23 741 0.9× 196 0.4× 170 0.4× 257 0.9× 172 0.6× 180 1.9k
Michael K. Fritsch United States 23 812 1.0× 292 0.6× 86 0.2× 429 1.4× 270 1.0× 57 1.5k
Yuta Takahashi Japan 20 1.2k 1.4× 368 0.8× 109 0.2× 133 0.4× 290 1.1× 67 2.0k
Walter W. Noll United States 21 770 0.9× 236 0.5× 119 0.3× 507 1.7× 298 1.1× 43 2.0k
Vaidehi Jobanputra United States 23 456 0.5× 159 0.4× 211 0.5× 521 1.8× 101 0.4× 79 1.3k
Tetsuro Yahata Japan 25 788 0.9× 123 0.3× 170 0.4× 272 0.9× 91 0.3× 72 1.8k
Sanjeevkumar R. Patel United States 23 1.2k 1.4× 168 0.4× 103 0.2× 400 1.3× 226 0.8× 42 1.9k
Valerié Schumacher Germany 24 1.4k 1.7× 210 0.5× 105 0.2× 276 0.9× 284 1.0× 36 1.8k
Daniela Giachino Italy 19 740 0.9× 125 0.3× 198 0.4× 343 1.2× 322 1.2× 51 1.6k
Karen E. Heath Spain 28 1.3k 1.5× 404 0.9× 131 0.3× 1.1k 3.5× 232 0.8× 106 2.6k

Countries citing papers authored by Andrew Miller

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Miller. A scholar is included among the top collaborators of Andrew 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 Andrew Miller. Andrew 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
1.
Miller, Andrew, et al.. (2025). A wearable-based aging clock associates with disease and behavior. Nature Communications. 16(1). 9264–9264.
2.
Chambers, Stephen T., et al.. (2023). Pharmacological Inhibition and Genetic Deletion of Cystathionine Gamma-Lyase in Mice Protects against Organ Injury in Sepsis: A Key Role of Adhesion Molecules on Endothelial Cells. International Journal of Molecular Sciences. 24(17). 13650–13650. 4 indexed citations
3.
Nazaret, Achille, et al.. (2023). Modeling personalized heart rate response to exercise and environmental factors with wearables data. npj Digital Medicine. 6(1). 207–207. 9 indexed citations
4.
Diakiw, Sonya M., Jonathan M. M. Hall, Matthew VerMilyea, et al.. (2022). An artificial intelligence model correlated with morphological and genetic features of blastocyst quality improves ranking of viable embryos. Reproductive BioMedicine Online. 45(6). 1105–1117. 39 indexed citations
6.
VerMilyea, Matthew, Jonathan M. M. Hall, Don Perugini, et al.. (2019). Artificial intelligence: non-invasive detection of morphological features associated with abnormalities in chromosomes 21 and 16. Fertility and Sterility. 112(3). e237–e238. 2 indexed citations
7.
Hock, Barry D., Andrew Miller, John Pearson, et al.. (2016). Cutaneous squamous cell carcinomas with markers of increased metastatic risk are associated with elevated numbers of neutrophils and/or granulocytic myeloid derived suppressor cells. Journal of Dermatological Science. 83(2). 124–130. 22 indexed citations
8.
Miller, Andrew, et al.. (2013). CNTO 530 Increases Expression of HbA and HbF in Murine Models of β-Thalassemia and Sickle Cell Anemia. Current Pharmaceutical Biotechnology. 14(2). 242–248. 5 indexed citations
9.
Miller, Andrew, et al.. (2009). Rad-Path: integrated anatomical pathology and radiology undergraduate tutorials. Pathology. 41(5). 460–466. 5 indexed citations
10.
Miller, Andrew. (2003). CLL and Squamous Cell Cancer of the Auricle.. PubMed. 20(4). 251–251.
11.
Xing, Dongqi, Andrew Miller, Lea Novak, et al.. (2003). Estradiol and Progestins Differentially Modulate Leukocyte Infiltration After Vascular Injury. Circulation. 109(2). 234–241. 80 indexed citations
12.
Miller, Andrew, et al.. (2000). Transesophageal Echocardiographic Identification of a Descending Aortic Aneurysm Rupture into the Left Lung. Echocardiography. 17(3). 269–271. 2 indexed citations
13.
Miller, Andrew, et al.. (2000). Transesophageal 3‐D Color Doppler Echocardiographic Findings in Traumatic Aortic Isthmus Pseudoaneurysm. The American Journal of Geriatric Cardiology. 9(5). 286–288.
14.
Yeşilbursa, Dilek, et al.. (2000). Transesophageal Echocardiographic Assessment of Aortic Atheromatous Plaque Morphology in Elderly Stroke Patients. The American Journal of Geriatric Cardiology. 9(3). 167–169. 1 indexed citations
15.
Nanda, Navin C., et al.. (2000). Fibrotic Aortic Stenosis in a Patient with Dwarfism. Echocardiography. 17(7). 701–704. 1 indexed citations
16.
Nanda, Navin C., et al.. (2000). Assessment of Myocardial Perfusion by Power Contrast Imaging Using a New Echo Contrast Agent. Echocardiography. 17(5). 457–461. 6 indexed citations
17.
Guilford, Parry, et al.. (1998). E-cadherin germline mutations in familial gastric cancer. Nature. 392(6674). 402–405. 1217 indexed citations breakdown →
18.
Miller, Andrew, Robert P. Stanton, & Stephen C. Eppes. (1993). Acute Arthritis of the Hip in a Child Infected With the Lyme Spirochete. Clinical Orthopaedics and Related Research. 286(286). 212???214–212???214. 5 indexed citations
19.
Shore, Neal D., et al.. (1986). Balloon Dilation of Upper Ureteral Strictures in Primates. The Journal of Urology. 136(1 Part 2). 342–343. 4 indexed citations
20.
Miller, Andrew. (1983). Flies scarce. Nature. 305(5936). 664–664. 2 indexed citations

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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