Alan D. Stern

616 citations
16 papers · 279 · h-index 10

Impact in

Papers in

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

Alan D. Stern

16 papers receiving 270 citations

Peers

Alan D. Stern
Comparison fields: 5 of 87
  • Biophysics 29
  • Modeling and Simulation 13
  • Molecular Biology 157
  • Cancer Research 33
  • Computational Theory and Mathematics 34
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Jin Niu United States
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Nicolàs Palacio‐Escat Germany
Ty M. Thomson Switzerland
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Citations per field
00.5×4.8×
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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 201655
2 201649
3 201836
4 202028
5 198818
6 201818
7 201813
8 196712
9 202211
10 198311
11 20228
12 19838
13 20244
14 20244
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 279 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Gene Regulatory Network Analysis (3 papers), Single-cell and spatial transcriptomics (2 papers), Melanoma and MAPK Pathways (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Receptor Mechanisms and Signaling (2 papers), 3D Printing in Biomedical Research (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). The work is most often cited by research in Biophysics (29 citations), Modeling and Simulation (13 citations), Molecular Biology (157 citations), Cancer Research (33 citations) and Computational Theory and Mathematics (34 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, LETÍCIA VITÓRIA DA SILVA SANTOS, Rick J. Koch, Anne Marie Barrette, Emilce Carrasco, Sulaiman Somani and Ravi Iyengar. Their work appears in journals such as Scientific Reports, npj Systems Biology and Applications, Annals of Biomedical Engineering, PLoS Computational Biology and Nature Communications.

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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