Bodo Haas

1.4k citations
32 papers · 1.2k · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • NF-κB Signaling Pathways
  • Physiology top 5%
    • Adipose Tissue and Metabolism

Papers in

Bodo Haas

31 papers receiving 1.2k citations

Peers

Bodo Haas
Comparison fields: 5 of 102
  • Cancer Research 225
  • Physiology 386
  • Biochemistry 79
  • Molecular Biology 506
  • Endocrinology, Diabetes and Metabolism 106
Replace Nikolay A. Patrushev with:
Nikolay A. Patrushev United States
Ilwola Mattagajasingh United States
Sehwan Jang Puerto Rico
Jeremy S. DeRicco United States
Jun Hao China
James P. Stice United States
Morten Lundh Denmark
Junlian Gu China
Jean‐Claude Thiers France
Michal Armoni Israel
Bodo Haas relative to Nikolay A. Patrushev United States Nikolay A. Patrushev's profile →
Citations per field
00.5×1.5×2×
Nikolay A. Patrushev · 1×
Citations per year

Countries citing papers authored by Bodo Haas

Since Specialization
Citations

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

Fields of papers citing papers by Bodo Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013245
2 2009184
3 2009126
4 2013123
5 201495
6 201083
7 202452
8 201433
9 201833
10 201232
11 202031
12 201823
13 201421
14 202012
15 201511
16 201411
17
BRCA-associated breast cancer: absence of a characteristic immunophenotype. Cancer Res
199811
18 20098
19 20137
20 20167

About Bodo Haas

Bodo Haas is a scholar working on Physiology, Oncology, Cellular and Molecular Neuroscience, Hematology and Cancer Research, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Cancer Cells and Metastasis (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Lipid metabolism and biosynthesis (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (225 citations), Physiology (386 citations), Biochemistry (79 citations), Molecular Biology (506 citations) and Endocrinology, Diabetes and Metabolism (106 citations). Bodo Haas has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Alexander Pfeifer, Niels Eckstein, Peter Eduard Mayer, Franziska Siegel, Holger Fröhlich, Reinhard Faessler, Yong Chen, Gunter Meister, Thilo Spruß and Peter Johannes Wild. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Molecular Metabolism, International Journal of Molecular Sciences, Science Signaling and Naunyn-Schmiedeberg s Archives of 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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