Alan D. Stern

627 citations
16 papers · 291 · h-index 10

Impact in

Papers in

    • Gene Regulatory Network Analysis 3
    • Single-cell and spatial transcriptomics 2
    • Receptor Mechanisms and Signaling 2
    • Advanced Biosensing Techniques and Applications 2
    • Melanoma and MAPK Pathways 2
    • Cell Image Analysis Techniques 4
    • Advanced Fluorescence Microscopy Techniques 2

Alan D. Stern

16 papers receiving 283 citations

Peers

Alan D. Stern
Comparison fields: 5 of 85
  • Biophysics 28
  • Modeling and Simulation 12
  • Molecular Biology 149
  • Computational Theory and Mathematics 35
  • Cancer Research 29
Replace Jin Niu with:
Jin Niu United States
Alexander Strigun Germany
Nicolàs Palacio‐Escat Germany
James Rutledge United States
Wilhelmus E. A. de Witte Netherlands
Ty M. Thomson Switzerland
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You Wu United States
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Citations per field
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Citations per year

Countries citing papers authored by Alan D. Stern

Since Specialization
Citations

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

Fields of papers citing papers by Alan D. Stern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alan D. Stern, 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 Alan D. Stern Line = papers co-authored together Alan D. Stern links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201657
2 201650
3 201837
4 202030
5 198819
6 201818
7 201814
8 196712
9 202212
10 198311
11 20228
12 19838
13 20246
14 20245
15 20232
16
[Experimental hepatic coma caused by acute ischemic necrosis of the liver in pigs. Attempted prevention and treatment with cross hemodialysis].
19722

About Alan D. Stern

Alan D. Stern is a scholar working on Molecular Biology, Biophysics, Cardiology and Cardiovascular Medicine, Physiology and Immunology, having authored 16 papers that have together received 291 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Gene Regulatory Network Analysis (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Single-cell and spatial transcriptomics (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Receptor Mechanisms and Signaling (2 papers), Advanced Biosensing Techniques and Applications (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Biophysics (28 citations), Modeling and Simulation (12 citations), Molecular Biology (149 citations), Computational Theory and Mathematics (35 citations) and Cancer Research (29 citations). Alan D. Stern has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Marc R. Birtwistle, Adeeb Rahman, Mehdi Bouhaddou, Gregory R. Smith, Anne Marie Barrette, Sulaiman Somani, Emilce Carrasco, Rick J. Koch, LETÍCIA VITÓRIA DA SILVA SANTOS and Evren U. Azeloglu. Their work appears in journals such as npj Systems Biology and Applications, Scientific Reports, Nature Communications, Annals of Biomedical Engineering and Occupational and Environmental Medicine.

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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