Daniel Öberg

732 citations
16 papers · 639 · h-index 13

Impact in

Papers in

    • Virus-based gene therapy research 9
    • RNA Research and Splicing 5
    • RNA modifications and cancer 3
    • RNA Interference and Gene Delivery 3
    • Viral Infectious Diseases and Gene Expression in Insects 2

Daniel Öberg

16 papers receiving 630 citations

Peers

Daniel Öberg
Comparison fields: 5 of 54
  • Genetics 272
  • Biotechnology 76
  • Oncology 168
  • Epidemiology 197
  • Molecular Biology 360
Replace Christoph Volpers with:
Christoph Volpers Germany
Cuizhu Zhang China
Miika Martikainen Finland
James J. Cody United States
Jenny B. Avanzini United States
Pierre Chartrand Canada
Martin J. Ford United Kingdom
Marilyn Fernandez United States
A Oliff United States
Jan Chemnitz Germany
Daniel Öberg relative to Christoph Volpers Germany Christoph Volpers's profile →
Citations per field
00.5×1.5×2×2.3×
Christoph Volpers · 1×
Citations per year

Countries citing papers authored by Daniel Öberg

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Öberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200283
2 201367
3 200961
4 200560
5 201357
6 201057
7 200554
8 201049
9 200345
10 201340
11 200419
12 201515
13 201013
14 201212
15 20224
16 20123

About Daniel Öberg

Daniel Öberg is a scholar working on Genetics, Molecular Biology, Epidemiology, Immunology and Oncology, having authored 16 papers that have together received 639 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), RNA Research and Splicing (5 papers), Cervical Cancer and HPV Research (4 papers), RNA modifications and cancer (3 papers), RNA Interference and Gene Delivery (3 papers), CAR-T cell therapy research (2 papers), Hepatitis B Virus Studies (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Genetics (272 citations), Biotechnology (76 citations), Oncology (168 citations), Epidemiology (197 citations) and Molecular Biology (360 citations). Daniel Öberg has collaborated with scholars based in Sweden, United Kingdom and France. Frequent co-authors include Stefan Schwartz, Xiaomin Zhao, B. Collier, Gunnel Halldén, Joanna Fay, Helen A. Lambkin, Iain A. McNeish, Katrina G. Sweeney, Göran Akusjärvi and Margaret Rush. Their work appears in journals such as Journal of Virology, Nucleic Acids Research, Clinical Cancer Research, Virology and Molecular Therapy.

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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