Ulrich Nielsch

727 citations
14 papers · 620 indexed · h-index 12

Ulrich Nielsch

14 papers receiving 613 citations

Peers

Ulrich Nielsch
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 200
  • Immunology 136
  • Pharmacology 55
  • Oncology 170
  • Physiology 132
Replace C. Susini with:
C. Susini France
Guillermo Romero United States
Ann‐Kristin Arvidsson Sweden
Kazunori Yoshimura Japan
Mitsuyuki Kuroki United States
Yasuo Fukumoto Japan
Alicia Corlett Australia
Britt‐Marie Rynmark Sweden
Nour‐Eddine Rhaleb United States
Chiya Kosaka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ulrich Nielsch

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Nielsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Ulrich Nielsch, 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 Ulrich Nielsch Line = papers co-authored together Ulrich Nielsch links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201632
2 200717
3 200592
4 200274
5 2002107
6 199217
7
Differential regulation of hepatocyte-enriched transcription factors explains changes in albumin and transthyretin gene expression among hepatoma cells.
199132
8
Adenovirus E1A-p105(Rb) protein interactions play a direct role in the initiation but not the maintenance of the rodent cell transformed phenotype.
19918
9 199139
10 1989102
11 198813
12 198768
13 198717
14 19862

About Ulrich Nielsch

Ulrich Nielsch is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Endocrinology, Diabetes and Metabolism, Pharmacology and Oncology, having authored 14 papers that have together received 620 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Virus-based gene therapy research (2 papers), Pain Mechanisms and Treatments (2 papers), interferon and immune responses (2 papers), Hormonal Regulation and Hypertension (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (200 citations), Immunology (136 citations), Pharmacology (55 citations), Oncology (170 citations) and Physiology (132 citations). Ulrich Nielsch has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include P. Keen, Lorenz M. Mayr, Michael Hörtner, Peter C. Heinrich, Serge Haan, Mark A. Bisby, Lee E. Babiss, James A. Johnston, S G Zimmer and Juergen Holtz. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Regulatory Peptides, Neuropeptides, The EMBO Journal and European Journal of Biochemistry.

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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