Daniel Pietsch

895 citations
13 papers · 679 · h-index 8

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Liver Diseases and Immunity
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Adipokines, Inflammation, and Metabolic Diseases

Papers in

Daniel Pietsch

11 papers receiving 672 citations

Peers

Daniel Pietsch
Comparison fields: 5 of 99
  • Hepatology 102
  • Epidemiology 225
  • Immunology 120
  • Cancer Research 49
  • Endocrine and Autonomic Systems 17
Replace Anish Shah with:
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Juan Luís Fernández-Morera Spain
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Daniel Pietsch relative to Anish Shah United States Anish Shah's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Pietsch

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pietsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013265
2 2012141
3 2015113
4 200841
5 201340
6 201134
7 201320
8 201514
9 20116
10 20074
11
Evaluation of an automated capillary electrophoresis system for serum protein electrophoresis with the determination of gender-specific reference values.
20101
12 20260
13 20260

About Daniel Pietsch

Daniel Pietsch is a scholar working on Molecular Biology, Immunology, Oncology, Renewable Energy, Sustainability and the Environment and Inorganic Chemistry, having authored 13 papers that have together received 679 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (3 papers), Immune cells in cancer (3 papers), Metal-Catalyzed Oxygenation Mechanisms (2 papers), Metalloenzymes and iron-sulfur proteins (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Epigenetics and DNA Methylation (1 paper), NF-κB Signaling Pathways (1 paper) and Blood properties and coagulation (1 paper). The work is most often cited by research in Hepatology (102 citations), Epidemiology (225 citations), Immunology (120 citations), Cancer Research (49 citations) and Endocrine and Autonomic Systems (17 citations). Daniel Pietsch has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Korbinian Brand, René Huber, Ralf Lichtinghagen, Heike Bantel, Mathias Bähr, Michael P. Manns, Heike Kielstein, Christiane D. Wrann, Klaus‐Peter Michel and Elfriede K. Pistorius. Their work appears in journals such as Photosynthesis Research, Journal of Hepatology, BMC Pharmacology and Toxicology, Journal of Biological Chemistry and BMC Obesity.

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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