Scott Lipnick

2.5k citations
20 papers · 1.3k · 2 hit papers · h-index 15

Impact in

  • Biophysics top 1%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Scott Lipnick

19 papers receiving 1.3k citations

Scott Lipnick's Hit Papers

Single-cell transcriptomic profiling of the aging mouse brain 2019 · 439 citations
4390+2+5Years since publication100200300400

Peers

Scott Lipnick
Comparison fields: 5 of 131
  • Biophysics 292
  • Neurology 237
  • Aging 43
  • Developmental Neuroscience 77
  • Media Technology 101
Replace D. Michael Ando with:
D. Michael Ando United States
Gaia Skibinski United States
Edward C. Stack United States
Erlend Hodneland Norway
Megumi Eguchi Canada
Jacob Hecksher‐Sørensen Denmark
Anja Mittag Germany
Jeffrey Nirschl United States
Kana Namiki Japan
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Scott Lipnick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott Lipnick Line = papers co-authored together Scott Lipnick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Single-cell transcriptomic profiling of the aging mouse brain
Hit paper breakdown →
2019439
2
In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
Hit paper breakdown →
2018394
3 200799
4 201953
5 201244
6 202141
7 202339
8 200832
9 201831
10 201524
11 201022
12 201021
13 201620
14 202118
15 201917
16 202412
17 20159
18 20115
19 20224
20 20080

About Scott Lipnick

Scott Lipnick is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Neurology and Physiology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), CRISPR and Genetic Engineering (3 papers), Single-cell and spatial transcriptomics (2 papers), Advanced NMR Techniques and Applications (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Biophysics (292 citations), Neurology (237 citations), Aging (43 citations), Developmental Neuroscience (77 citations) and Media Technology (101 citations). Scott Lipnick has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Lee L. Rubin, Sean M. Buchanan, Aviv Regev, Joshua Z. Levin, Ceren Ozek, Sean Simmons, Danielle Dionne, Lan Nguyễn, Xian Adiconis and Methodios Ximerakis. Their work appears in journals such as NMR in Biomedicine, SLAS DISCOVERY, Big Data, Magnetic Resonance in Medicine and Journal of Neuromuscular Diseases.

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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