Daniel Peled

600 citations
11 papers · 399 · h-index 7

Impact in

    • Atherosclerosis and Cardiovascular Diseases
    • Immune cells in cancer
    • Phagocytosis and Immune Regulation
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Single-cell and spatial transcriptomics 2
    • Metabolism, Diabetes, and Cancer 1
    • Atherosclerosis and Cardiovascular Diseases 3

Daniel Peled

11 papers receiving 383 citations

Peers

Daniel Peled
Comparison fields: 5 of 80
  • Immunology 216
  • Cancer Research 55
  • Biological Psychiatry 7
  • Epidemiology 80
  • Molecular Biology 155
Replace Katherine E. Lewis with:
Katherine E. Lewis United States
Minghong Xu China
Martina Gatzka Germany
Kun Zhu China
Nicola Scott United Kingdom
Aleksandra Rutkowska Poland
Yaozhong Liu China
Molly Hill United States
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Daniel Peled relative to Katherine E. Lewis United States Katherine E. Lewis's profile →
Citations per field
00.5×3.2×
Katherine E. Lewis · 1×
Citations per year

Countries citing papers authored by Daniel Peled

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Peled

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2020182
2 200250
3 202141
4 201941
5 202233
6 202130
7 202117
8 20212
9 20241
10 20241
11 20201

About Daniel Peled

Daniel Peled is a scholar working on Molecular Biology, Immunology, Education, Cancer Research and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 399 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (3 papers), Single-cell and spatial transcriptomics (2 papers), Child Development and Digital Technology (2 papers), Impact of Technology on Adolescents (2 papers), Axon Guidance and Neuronal Signaling (2 papers), MicroRNA in disease regulation (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Immunology (216 citations), Cancer Research (55 citations), Biological Psychiatry (7 citations), Epidemiology (80 citations) and Molecular Biology (155 citations). Daniel Peled has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Zehava Rosenblatt, Kathryn J. Moore, Coen van Solingen, Monika Sharma, Milessa Silva Afonso, Lianne C. Shanley, Martin Schlegel, Emily J. Brown, Edward A. Fisher and Emma M. Corr. Their work appears in journals such as Circulation Research, Arteriosclerosis Thrombosis and Vascular Biology, Cold Spring Harbor Perspectives in Medicine, Journal of Educational Administration and Proceedings of the National Academy of Sciences.

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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