Julia Koblitz
Impact in
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- Microbial Metabolic Engineering and Bioproduction
- Genomics and Phylogenetic Studies
- Enzyme Catalysis and Immobilization
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
Papers in
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- Genomics and Phylogenetic Studies 7
- Microbial Metabolic Engineering and Bioproduction 3
- Biomedical Text Mining and Ontologies 2
- Enzyme Catalysis and Immobilization 1
- Ecology 4
- Microbial Community Ecology and Physiology 3
- Co-authors
- Dietmar Schomburg (3 shared papers)Meina Neumann‐Schaal (3 shared papers)Dieter Jahn (2 shared papers)Antje Chang (1 shared paper)Julia Hofmann (1 shared paper)Lisa Jeske (2 shared papers)Ida Schomburg (1 shared paper)L.C. Reimer (8 shared papers)
In The Last Decade
Julia Koblitz
10 papers receiving 722 citations
Julia Koblitz's Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 492
- Microbiology 5
- Biotechnology 42
- Ecology 94
- Computational Theory and Mathematics 51
Countries citing papers authored by Julia Koblitz
This map shows the geographic impact of Julia Koblitz'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 Julia Koblitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Koblitz more than expected).
Fields of papers citing papers by Julia Koblitz
This network shows the impact of papers produced by Julia Koblitz. 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 Julia Koblitz. The network helps show where Julia Koblitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Koblitz, 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 | BRENDA, the ELIXIR core data resource in 2021: new developments and updates Hit paper breakdown → | 2020 | 482 |
| 2 | 2021 | 144 | |
| 3 | 2022 | 41 | |
| 4 | 2024 | 36 | |
| 5 | 2025 | 12 | |
| 6 | 2021 | 6 | |
| 7 | 2024 | 5 | |
| 8 | 2021 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Julia Koblitz
Julia Koblitz is a scholar working on Molecular Biology, Ecology, Information Systems and Management, Spectroscopy and Pollution, having authored 12 papers that have together received 729 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Microbial Community Ecology and Physiology (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Scientific Computing and Data Management (2 papers), Biomedical Text Mining and Ontologies (2 papers), Cancer Genomics and Diagnostics (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Molecular Biology (492 citations), Microbiology (5 citations), Biotechnology (42 citations), Ecology (94 citations) and Computational Theory and Mathematics (51 citations). Julia Koblitz has collaborated with scholars based in Germany and Belgium. Frequent co-authors include Dietmar Schomburg, Meina Neumann‐Schaal, Dieter Jahn, Antje Chang, Julia Hofmann, Lisa Jeske, Ida Schomburg, L.C. Reimer, Jörg Overmann and Christian Ebeling. Their work appears in journals such as Nucleic Acids Research, Frontiers in Microbiology, Communications Biology, Database and BMC Research Notes.
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.