Ina Baumann
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
- NF-κB Signaling Pathways
- Parasitology top 5%
- Vector-borne infectious diseases
Papers in
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- NF-κB Signaling Pathways 2
- Carcinogens and Genotoxicity Assessment 1
-
- Toxin Mechanisms and Immunotoxins 2
- Co-authors
- Peter A. Herrlich (5 shared papers)Bernd Stein (4 shared papers)Hans J. Rahmsdorf (3 shared papers)Hajo Delius (2 shared papers)Peter E. Angel (2 shared papers)Dirk A. E. Dobbelaere (4 shared papers)Richard O. Williams (3 shared papers)Vladimir N. Ivanov (2 shared papers)
- Journals
- Molecular and Cellular Biology (4 papers)Infection and Immunity (1 paper)Microbes and Infection (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- GermanySwitzerland
In The Last Decade
Ina Baumann
7 papers receiving 812 citations
Ina Baumann's Hit Papers
Peers
Comparison fields: 5 of 79
- Cancer Research 250
- Parasitology 94
- Immunology and Allergy 57
- Immunology 173
- Molecular Biology 498
Countries citing papers authored by Ina Baumann
This map shows the geographic impact of Ina Baumann'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 Ina Baumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ina Baumann more than expected).
Fields of papers citing papers by Ina Baumann
This network shows the impact of papers produced by Ina Baumann. 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 Ina Baumann. The network helps show where Ina Baumann may publish in the future.
Co-authors
The 16 scholars most cited alongside Ina Baumann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 12-O-tetradecanoyl-phorbol-13-acetate induction of the human collagenase gene is mediated by an inducible enhancer element located in the 5'-flanking region. Hit paper breakdown → | 1987 | 654 |
| 2 | 1989 | 80 | |
| 3 | 1987 | 47 | |
| 4 | 1990 | 46 | |
| 5 | 1989 | 19 | |
| 6 | 2000 | 19 | |
| 7 | 1989 | 4 | |
| 8 | 2017 | 0 |
About Ina Baumann
Ina Baumann is a scholar working on Cancer Research, Immunology, Epidemiology, Ecology, Evolution, Behavior and Systematics and Parasitology, having authored 8 papers that have together received 869 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (3 papers), NF-κB Signaling Pathways (2 papers), Vector-Borne Animal Diseases (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Cancer-related gene regulation (2 papers), Ubiquitin and proteasome pathways (2 papers), CRISPR and Genetic Engineering (1 paper) and Carcinogens and Genotoxicity Assessment (1 paper). The work is most often cited by research in Cancer Research (250 citations), Parasitology (94 citations), Immunology and Allergy (57 citations), Immunology (173 citations) and Molecular Biology (498 citations). Ina Baumann has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Peter A. Herrlich, Bernd Stein, Hans J. Rahmsdorf, Hajo Delius, Peter E. Angel, Dirk A. E. Dobbelaere, Richard O. Williams, Vladimir N. Ivanov, Isabel J. Roditi and Paula C Fernandez. Their work appears in journals such as Molecular and Cellular Biology, Infection and Immunity, Microbes and Infection and Biochemical and Biophysical Research Communications.
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.