Jason Singer

596 citations
19 papers · 408 · h-index 11

Impact in

    • Ubiquitin and proteasome pathways
    • Photosynthetic Processes and Mechanisms
    • Mitochondrial Function and Pathology
    • Fungal and yeast genetics research

Papers in

    • Metabolism, Diabetes, and Cancer 2
    • Photosynthetic Processes and Mechanisms 2
    • Adipose Tissue and Metabolism 2

Jason Singer

18 papers receiving 401 citations

Peers

Jason Singer
Comparison fields: 5 of 79
  • Molecular Biology 271
  • Cell Biology 47
  • Immunology and Allergy 15
  • Oncology 67
  • Cellular and Molecular Neuroscience 42
Replace Maki Ishida with:
Maki Ishida Japan
Rosemary B. Evans-Storms United States
Zhihao Ding China
Zsuzsanna Újfaludi Hungary
Hannah Williams United Kingdom
Cecília Pessoa Rodrigues Brazil
Verónica I. Dumit Germany
SE Hilary Russell United Kingdom
Angelika Freilinger Austria
Marcus M. Nalaskowski Germany
Jason Singer relative to Maki Ishida Japan Maki Ishida's profile →
Citations per field
00.5×1.5×
Maki Ishida · 1×
Citations per year

Countries citing papers authored by Jason Singer

Since Specialization
Citations

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

Fields of papers citing papers by Jason Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200383
2 199155
3 199442
4 201635
5 199334
6 200028
7 202227
8 201923
9 201615
10 201515
11 201511
12 202110
13 201710
14 20237
15 20226
16
The Innovative Success that is Apple, Inc.
20125
17 20151
18 20231
19 20240

About Jason Singer

Jason Singer is a scholar working on Molecular Biology, Physiology, Genetics, Biochemistry and Surgery, having authored 19 papers that have together received 408 indexed citations. Recurring topics across this work include Blood disorders and treatments (4 papers), Lipid metabolism and biosynthesis (3 papers), Metabolism and Genetic Disorders (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Molecular Biology (271 citations), Cell Biology (47 citations), Immunology and Allergy (15 citations), Oncology (67 citations) and Cellular and Molecular Neuroscience (42 citations). Jason Singer has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Janet M. Shaw, Sabeeha Merchant, Kent L. Hill, Greg J. Hermann, Daniel Pauli, Brian G. Oliver, Giuseppa Pennetta, Sahar Kohanim, Bruce H. Morimoto and Haijing Li. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, iScience, Diabetes and Nanomedicine.

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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