Gabriele Baier‐Bitterlich
- Molecular Biology top 10%
- Immunology top 5%
- Physiology top 10%
- Biological Psychiatry top 2%
- Epidemiology
- Co-authors
- Dietmar FuchsGottfried BaierH. WächterBarbara WirleitnerBernhard WidnerAmnon AltmanNoah IsakovK. Mark Coggeshall
- Topics
- Metabolism and Genetic Disorders (15 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers)Adenosine and Purinergic Signaling (8 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Gabriele Baier‐Bitterlich
54 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 775
- Immunology 465
- Physiology 219
- Biological Psychiatry 210
- Epidemiology 200
Countries citing papers authored by Gabriele Baier‐Bitterlich
This map shows the geographic impact of Gabriele Baier‐Bitterlich'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 Gabriele Baier‐Bitterlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Baier‐Bitterlich more than expected).
Fields of papers citing papers by Gabriele Baier‐Bitterlich
This network shows the impact of papers produced by Gabriele Baier‐Bitterlich. 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 Gabriele Baier‐Bitterlich. The network helps show where Gabriele Baier‐Bitterlich may publish in the future.
Co-authorship network of co-authors of Gabriele Baier‐Bitterlich
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Baier‐Bitterlich. A scholar is included among the top collaborators of Gabriele Baier‐Bitterlich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriele Baier‐Bitterlich. Gabriele Baier‐Bitterlich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 40 | |
| 7 | 21 | |
| 8 | 5 | |
| 9 | Increased neopterin concentrations in patients with cancer: indicator of oxidative stress? | 132 |
| 10 | 34 | |
| 11 | 24 | |
| 12 | 5 | |
| 13 | 31 | |
| 14 | 29 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 122 | |
| 18 | 18 | |
| 19 | 2 | |
| 20 | 263 |
About Gabriele Baier‐Bitterlich
Gabriele Baier‐Bitterlich is a scholar working on Clinical Biochemistry, Biological Psychiatry and Physiology, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (15 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers) and Adenosine and Purinergic Signaling (8 papers). The work is most often cited by research in Biological Psychiatry (210 citations), Behavioral Neuroscience (98 citations) and Physiology (109 citations). Gabriele Baier‐Bitterlich has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Dietmar Fuchs, Gottfried Baier, H. Wächter, Barbara Wirleitner, Bernhard Widner, Amnon Altman, Noah Isakov, K. Mark Coggeshall, David Telford and Leslie Giampa. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.