Helmut Dolznig

7.1k citations
86 papers · 4.7k indexed · 1 hit paper · h-index 36

Impact in

Papers in

    • Cancer Cells and Metastasis 22
    • Cytokine Signaling Pathways and Interactions 9
    • Cancer-related Molecular Pathways 5
    • Cancer, Hypoxia, and Metabolism 7

Helmut Dolznig

83 papers receiving 4.6k citations

Hit Papers

In vitro cell migration and invasion assays 2012 · 901 citations
9012012202620162021250500750

Peers

Helmut Dolznig
Comparison fields: 5 of 134
  • Oncology 1.7k
  • Cancer Research 823
  • Cell Biology 577
  • Molecular Biology 2.3k
  • Genetics 340
Replace Melissa R. Junttila with:
Melissa R. Junttila United States
Christine M. Sorenson United States
Rainer Heuchel Sweden
Paraic A. Kenny United States
Min Xiao China
Ingunn Holen United Kingdom
Bhaskar Kallakury United States
Thomas Kuilman Netherlands
Clemens A. Schmitt Germany
Rebecca S. Cook United States
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Citations per field
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Citations per year

Countries citing papers authored by Helmut Dolznig

Since Specialization
Citations

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

Fields of papers citing papers by Helmut Dolznig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202317
3 202313
4 202312
5 20201
6 201918
7 2019220
8 2017105
9 201761
10 201496
11 201317
12 201137
13 201123
14 201015
15 201061
16 200956
17 20098
18
Characterization of cancer stroma markers: in silico analysis of an mRNA expression database for fibroblast activation protein and endosialin.
2005123
19 199713
20 19968

About Helmut Dolznig

Helmut Dolznig is a scholar working on Oncology, Cancer Research, Molecular Biology, Genetics and Modeling and Simulation, having authored 86 papers that have together received 4.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (22 papers), Erythrocyte Function and Pathophysiology (10 papers), Cytokine Signaling Pathways and Interactions (9 papers), 3D Printing in Biomedical Research (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Immune cells in cancer (6 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Oncology (1.7k citations), Cancer Research (823 citations), Cell Biology (577 citations), Molecular Biology (2.3k citations) and Genetics (340 citations). Helmut Dolznig has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Markus Hengstschläger, Nina Kramer, Christine Unger, Georg Krupitza, Angelika Walzl, Margit Rosner, Hartmut Beug, Ernst W. Müllner, Daniela Unterleuthner and Richard Moriggl. Their work appears in journals such as Oncogene, Blood, Human Molecular Genetics, Cancer Letters and Oncotarget.

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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