Daniel Hebenstreit

2.8k citations
46 papers · 2.0k · h-index 22

Impact in

Papers in

    • Single-cell and spatial transcriptomics 9
    • RNA modifications and cancer 7
    • RNA Research and Splicing 6
    • Genomics and Chromatin Dynamics 6
    • RNA and protein synthesis mechanisms 5
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4

Daniel Hebenstreit

42 papers receiving 2.0k citations

Peers

Daniel Hebenstreit
Comparison fields: 5 of 106
  • Immunology 460
  • Immunology and Allergy 84
  • Cancer Research 198
  • Molecular Biology 964
  • Reproductive Medicine 100
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Hebenstreit

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hebenstreit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006256
2 2011231
3 2012216
4 2014166
5 2017158
6 200589
7 201780
8 200672
9 200358
10 200256
11 202151
12 200443
13 201241
14 201536
15 201036
16 201934
17 201027
18 200827
19 202022
20 201821

About Daniel Hebenstreit

Daniel Hebenstreit is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Genetics, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Genomics and Chromatin Dynamics (6 papers), RNA and protein synthesis mechanisms (5 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Immunology (460 citations), Immunology and Allergy (84 citations), Cancer Research (198 citations), Molecular Biology (964 citations) and Reproductive Medicine (100 citations). Daniel Hebenstreit has collaborated with scholars based in United Kingdom, Austria and China. Frequent co-authors include Albert Duschl, Jutta Horejs‐Hoeck, Sarah A. Teichmann, Gerald Wirnsberger, Muxin Gu, Alexander van Oudenaarden, Varodom Charoensawan, Mark D. Walsh, Wiebke Arlt and Angela E. Taylor. Their work appears in journals such as European Journal of Immunology, Genome biology, Journal of Biological Chemistry, Leukemia and The Journal of the Acoustical Society of America.

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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