Daniel Jung

2.3k citations
65 papers · 1.9k · h-index 22

Impact in

Papers in

    • Health disparities and outcomes 6
    • Muscle Physiology and Disorders 11
    • Viral Infectious Diseases and Gene Expression in Insects 5
    • RNA Interference and Gene Delivery 5

Daniel Jung

63 papers receiving 1.8k citations

Peers

Daniel Jung
Comparison fields: 5 of 105
  • Internal Medicine 99
  • Rehabilitation 147
  • Molecular Biology 1.3k
  • Cell Biology 280
  • Physiology 390
Replace Filip Callewaert with:
Filip Callewaert Belgium
Peter E. Shamamian United States
Silvia Tognazzo Italy
Barbara Drygulski Wright Australia
Patricia Estrella United States
Jean‐Antoine Ribeil France
Ilaria Ferrarotti Italy
Jessica Gordon United States
Hobart W. Walling United States
Matthias Moehrle Germany
Daniel Jung relative to Filip Callewaert Belgium Filip Callewaert's profile →
Citations per field
00.5×2×4×6×7×
Filip Callewaert · 1×
Citations per year

Countries citing papers authored by Daniel Jung

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995297
2 1995231
3 1996166
4 1995115
5 1997101
6 199682
7 201160
8 200956
9 201248
10 199646
11 201843
12 199342
13 201240
14 199339
15 199134
16 201831
17 199030
18 200230
19 199730
20 202029

About Daniel Jung

Daniel Jung is a scholar working on Health, Molecular Biology, General Health Professions, Internal Medicine and Cell Biology, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), Virus-based gene therapy research (6 papers), Health disparities and outcomes (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Geriatric Care and Nursing Homes (5 papers), RNA Interference and Gene Delivery (5 papers), Immune Cell Function and Interaction (4 papers) and Venous Thromboembolism Diagnosis and Management (4 papers). The work is most often cited by research in Internal Medicine (99 citations), Rehabilitation (147 citations), Molecular Biology (1.3k citations), Cell Biology (280 citations) and Physiology (390 citations). Daniel Jung has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Kevin P. Campbell, Bin Yang, Jeffrey S. Chamberlain, Jon Meyer, Jill A. Rafael, Gary A. Koretzky, David G. Motto, Álvaro Rendón, Kathleen Corrado and Gregory A. Cox. Their work appears in journals such as Journal of Biological Chemistry, Journal of Immunological Methods, Annals of Vascular Surgery, Journal of Vascular Surgery and Journal of Applied Gerontology.

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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