Daniel Jahn

1.1k citations
25 papers · 847 · h-index 17

Impact in

Papers in

    • Nuclear Structure and Function 7
    • RNA Research and Splicing 5
    • Fibroblast Growth Factor Research 4
    • Genomics and Chromatin Dynamics 4
    • Kruppel-like factors research 3
    • Liver Disease Diagnosis and Treatment 8

Daniel Jahn

25 papers receiving 837 citations

Peers

Daniel Jahn
Comparison fields: 5 of 80
  • Hepatology 72
  • Epidemiology 275
  • Endocrinology, Diabetes and Metabolism 118
  • Molecular Biology 416
  • Physiology 128
Replace Rui‐Xu Yang with:
Rui‐Xu Yang China
Jan Petrášek United States
Sofie M. A. Walenbergh Netherlands
Anika Nier Germany
Hironori Kitade Japan
Jiawen Huang China
Irma García‐Martinez Spain
Marcella Savoia Italy
Rocío Gallego‐Durán Spain
Xabier Buqué Spain
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Citations per year

Countries citing papers authored by Daniel Jahn

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Jahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018154
2 2014115
3 201277
4 201553
5 201846
6 201344
7 201741
8 201936
9 201935
10 201633
11 201427
12 201026
13 201025
14 201624
15 201723
16 201622
17 201520
18 201512
19 20169
20 20207

About Daniel Jahn

Daniel Jahn is a scholar working on Molecular Biology, Epidemiology, Oncology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 25 papers that have together received 847 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Nuclear Structure and Function (7 papers), RNA Research and Splicing (5 papers), Fibroblast Growth Factor Research (4 papers), Genomics and Chromatin Dynamics (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Kruppel-like factors research (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Hepatology (72 citations), Epidemiology (275 citations), Endocrinology, Diabetes and Metabolism (118 citations), Molecular Biology (416 citations) and Physiology (128 citations). Daniel Jahn has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Andreas Geier, Heike M. Hermanns, Stefan Kircher, Manfred Alsheimer, Ricardo Benavente, Monika Rau, Sabine Schramm, Eva Aumueller, Helmut Brath and Alexander G. Haslberger. Their work appears in journals such as Nucleus, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, PLoS ONE, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and Toxicology and Applied Pharmacology.

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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