Julia Koehler
Impact in
- Biophysics top 10%
- Electron Spin Resonance Studies
- Spectroscopy top 10%
- Advanced NMR Techniques and Applications
Papers in
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- Protein Structure and Dynamics 4
- Lipid Membrane Structure and Behavior 3
- Machine Learning in Bioinformatics 1
- RNA and protein synthesis mechanisms 1
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- Sepsis Diagnosis and Treatment 2
- Trypanosoma species research and implications 2
- Co-authors
- Jens Meiler (3 shared papers)Charles R. Sanders (2 shared papers)René Staritzbichler (1 shared paper)Nils Woetzel (1 shared paper)Holger Hoehn (2 shared papers)Charles D. Ellis (1 shared paper)Endah S. Sulistijo (1 shared paper)Masayoshi Sakakura (1 shared paper)
- Journals
- Transfusion (1 paper)Proteins Structure Function and Bioinformatics (1 paper)American Journal of Obstetrics and Gynecology (1 paper)mSphere (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
Julia Koehler
11 papers receiving 295 citations
Peers
Comparison fields: 5 of 65
- Biophysics 44
- Spectroscopy 90
- Molecular Biology 163
- Materials Chemistry 91
- Radiology, Nuclear Medicine and Imaging 41
Countries citing papers authored by Julia Koehler
This map shows the geographic impact of Julia Koehler'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 Koehler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Koehler more than expected).
Fields of papers citing papers by Julia Koehler
This network shows the impact of papers produced by Julia Koehler. 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 Koehler. The network helps show where Julia Koehler may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Koehler, 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 | 2011 | 149 | |
| 2 | 2008 | 45 | |
| 3 | 2010 | 32 | |
| 4 | 1990 | 19 | |
| 5 | 2019 | 17 | |
| 6 | Improvement of human lymphocyte proliferation and alteration of IL-2 secretion kinetics by alpha-thioglycerol. | 1990 | 13 |
| 7 | 2022 | 12 | |
| 8 | 2020 | 5 | |
| 9 | 2019 | 5 | |
| 10 | 2009 | 2 | |
| 11 | 2021 | 1 |
About Julia Koehler
Julia Koehler is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Oncology and Hematology, having authored 11 papers that have together received 300 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Lipid Membrane Structure and Behavior (3 papers), Sepsis Diagnosis and Treatment (2 papers), Trypanosoma species research and implications (2 papers), Machine Learning in Bioinformatics (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Advanced NMR Techniques and Applications (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Biophysics (44 citations), Spectroscopy (90 citations), Molecular Biology (163 citations), Materials Chemistry (91 citations) and Radiology, Nuclear Medicine and Imaging (41 citations). Julia Koehler has collaborated with scholars based in United States and Poland. Frequent co-authors include Jens Meiler, Charles R. Sanders, René Staritzbichler, Nils Woetzel, Holger Hoehn, Charles D. Ellis, Endah S. Sulistijo, Masayoshi Sakakura, Hak Jun Kim and Martin Poot. Their work appears in journals such as Transfusion, Proteins Structure Function and Bioinformatics, American Journal of Obstetrics and Gynecology, mSphere and Biochemistry.
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.