Scott Lipnick

2.5k total citations · 2 hit papers
20 papers, 1.3k citations indexed

About

Scott Lipnick is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Scott Lipnick has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Genetics. Recurrent topics in Scott Lipnick's work include Neurogenetic and Muscular Disorders Research (4 papers), Advanced MRI Techniques and Applications (4 papers) and CRISPR and Genetic Engineering (3 papers). Scott Lipnick is often cited by papers focused on Neurogenetic and Muscular Disorders Research (4 papers), Advanced MRI Techniques and Applications (4 papers) and CRISPR and Genetic Engineering (3 papers). Scott Lipnick collaborates with scholars based in United States, Canada and Germany. Scott Lipnick's co-authors include Lee L. Rubin, Ceren Ozek, Sean Simmons, Xian Adiconis, Joshua Z. Levin, Danielle Dionne, Methodios Ximerakis, Lan Nguyễn, Sean M. Buchanan and Aviv Regev and has published in prestigious journals such as Cell, Nature Communications and Nature Neuroscience.

In The Last Decade

Scott Lipnick

19 papers receiving 1.3k citations

Hit Papers

Single-cell transcriptomic profiling of the aging mouse b... 2018 2026 2020 2023 2019 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Lipnick United States 15 567 292 237 171 150 20 1.3k
D. Michael Ando United States 14 761 1.3× 371 1.3× 140 0.6× 29 0.2× 150 1.0× 22 1.6k
Lluís Ramió‐Torrentà Spain 26 512 0.9× 79 0.3× 415 1.8× 417 2.4× 133 0.9× 92 2.8k
Deborah Pareto Spain 28 413 0.7× 78 0.3× 479 2.0× 893 5.2× 323 2.2× 118 2.9k
Sakir H. Gultekin United States 26 720 1.3× 113 0.4× 94 0.4× 299 1.7× 74 0.5× 90 3.2k
Thierry Delzescaux France 18 487 0.9× 148 0.5× 288 1.2× 456 2.7× 62 0.4× 62 1.7k
Geoffrey S. Young United States 23 485 0.9× 616 2.1× 274 1.2× 728 4.3× 342 2.3× 76 2.3k
Erlend Hodneland Norway 21 468 0.8× 75 0.3× 40 0.2× 446 2.6× 152 1.0× 61 1.4k
Gaia Skibinski United States 10 1.1k 1.9× 283 1.0× 336 1.4× 23 0.1× 115 0.8× 15 2.6k
Francesca Bagnato United States 31 569 1.0× 107 0.4× 363 1.5× 1.1k 6.4× 295 2.0× 131 3.6k

Countries citing papers authored by Scott Lipnick

Since Specialization
Citations

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

Fields of papers citing papers by Scott Lipnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Lipnick

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Lipnick. A scholar is included among the top collaborators of Scott Lipnick 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 Scott Lipnick. Scott Lipnick 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.
Beaulieu‐Jones, Brett K., Francesca Frau, Karen J. Chandross, et al.. (2024). Disease progression strikingly differs in research and real-world Parkinson’s populations. npj Parkinson s Disease. 10(1). 58–58. 12 indexed citations
2.
Ximerakis, Methodios, Kristina M. Holton, Ceren Ozek, et al.. (2023). Heterochronic parabiosis reprograms the mouse brain transcriptome by shifting aging signatures in multiple cell types. Nature Aging. 3(3). 327–345. 39 indexed citations
3.
Gaki, Εleni, et al.. (2022). Disease Burden of Spinal Muscular Atrophy: A Comparative Cohort Study Using Insurance Claims Data in the USA. Journal of Neuromuscular Diseases. 10(1). 41–53. 4 indexed citations
4.
Yuan, William, Brett K. Beaulieu‐Jones, Kun‐Hsing Yu, et al.. (2021). Temporal bias in case-control design: preventing reliable predictions of the future. Nature Communications. 12(1). 1107–1107. 41 indexed citations
5.
Yuan, William, Brett K. Beaulieu‐Jones, Richard C. Krolewski, et al.. (2021). Accelerating diagnosis of Parkinson’s disease through risk prediction. BMC Neurology. 21(1). 201–201. 18 indexed citations
6.
Lipnick, Scott, Denis Agniel, Rahul Aggarwal, et al.. (2019). Systemic nature of spinal muscular atrophy revealed by studying insurance claims. PLoS ONE. 14(3). e0213680–e0213680. 53 indexed citations
7.
Ximerakis, Methodios, Scott Lipnick, Brendan T. Innes, et al.. (2019). Single-cell transcriptomic profiling of the aging mouse brain. Nature Neuroscience. 22(10). 1696–1708. 439 indexed citations breakdown →
8.
Yang, Samuel, Scott Lipnick, Nina R. Makhortova, et al.. (2019). Applying Deep Neural Network Analysis to High-Content Image-Based Assays. SLAS DISCOVERY. 24(8). 829–841. 17 indexed citations
9.
Christiansen, Eric, Samuel Yang, D. Michael Ando, et al.. (2018). In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images. Cell. 173(3). 792–803.e19. 394 indexed citations breakdown →
10.
Lipnick, Scott, et al.. (2018). Toward Precision Medicine for Neurological and Neuropsychiatric Disorders. Cell stem cell. 23(1). 21–24. 31 indexed citations
11.
Lipnick, Scott, et al.. (2016). A look into the future of ALS research. Drug Discovery Today. 21(6). 939–949. 20 indexed citations
12.
Ausiello, Dennis A. & Scott Lipnick. (2015). Real-Time Assessment of Wellness and Disease in Daily Life. Big Data. 3(3). 203–208. 9 indexed citations
13.
Zhou, Hongyan, Héctor Martínez, Bruce Sun, et al.. (2015). Rapid and Efficient Generation of Transgene-Free iPSC from a Small Volume of Cryopreserved Blood. Stem Cell Reviews and Reports. 11(4). 652–665. 24 indexed citations
14.
Lowenthal, Justin, Scott Lipnick, Mahendra S. Rao, & Sara Chandros Hull. (2012). Specimen Collection for Induced Pluripotent Stem Cell Research: Harmonizing the Approach to Informed Consent. Stem Cells Translational Medicine. 1(5). 409–421. 44 indexed citations
15.
Verma, Gaurav, Scott Lipnick, Saadallah Ramadan, Rajakumar Nagarajan, & M. Albert Thomas. (2011). Implementation of multi‐echo–based correlated spectroscopic imaging and pilot findings in human brain and calf muscle. Journal of Magnetic Resonance Imaging. 34(2). 262–269. 5 indexed citations
16.
Lipnick, Scott, et al.. (2010). Echo planar correlated spectroscopic imaging: Implementation and pilot evaluation in human calf in vivo. Magnetic Resonance in Medicine. 64(4). 947–956. 22 indexed citations
17.
Lipnick, Scott, Xiaoyu Liu, James Sayre, et al.. (2010). Combined DCE‐MRI and single‐voxel 2D MRS for differentiation between benign and malignant breast lesions. NMR in Biomedicine. 23(8). 922–930. 21 indexed citations
18.
Thomas, M. Albert, Scott Lipnick, S. Sendhil Velan, et al.. (2008). Investigation of breast cancer using two‐dimensional MRS. NMR in Biomedicine. 22(1). 77–91. 32 indexed citations
19.
Lipnick, Scott, et al.. (2008). 212 Material point tracking with enforced incompressibility using MRI. Journal of Cardiovascular Magnetic Resonance. 10. A73–A73.
20.
Lipnick, Scott, et al.. (2007). Molecular Mechanisms of Late Normal Tissue Injury. Seminars in Radiation Oncology. 17(2). 121–130. 99 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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