Daniel Heid
Impact in
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 3
- CRISPR and Genetic Engineering 2
- Protein Degradation and Inhibitors 1
- Biochemical and Structural Characterization 1
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- Acute Myeloid Leukemia Research 2
- Chronic Myeloid Leukemia Treatments 1
- Co-authors
- Markus Mund (1 shared paper)Krishna Chaitanya Kasuba (1 shared paper)Jonas Ries (1 shared paper)Moritz Kueblbeck (1 shared paper)Konstanty Cieśliński (1 shared paper)Ulf Matti (1 shared paper)Yule Wu (1 shared paper)Jervis Vermal Thevathasan (1 shared paper)
- Journals
- Leukemia (2 papers)Nature Methods (1 paper)Food Chemistry (1 paper)Bioprocess and Biosystems Engineering (1 paper)Applied Microbiology and Biotechnology (1 paper)
- Partner nations
- GermanySwitzerlandSpain
In The Last Decade
Daniel Heid
8 papers receiving 284 citations
Peers
Comparison fields: 5 of 57
- Structural Biology 105
- Biophysics 184
- Molecular Biology 145
- Cell Biology 32
- Acoustics and Ultrasonics 1
Countries citing papers authored by Daniel Heid
This map shows the geographic impact of Daniel Heid'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 Daniel Heid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Heid more than expected).
Fields of papers citing papers by Daniel Heid
This network shows the impact of papers produced by Daniel Heid. 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 Daniel Heid. The network helps show where Daniel Heid may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Heid, 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 | 2019 | 231 | |
| 2 | 2019 | 19 | |
| 3 | 2023 | 14 | |
| 4 | 2022 | 12 | |
| 5 | 2024 | 8 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 |
About Daniel Heid
Daniel Heid is a scholar working on Molecular Biology, Hematology, Biophysics, Oncology and Genetics, having authored 9 papers that have together received 288 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (3 papers), Acute Myeloid Leukemia Research (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer Genomics and Diagnostics (1 paper), Protein Degradation and Inhibitors (1 paper), Cell Image Analysis Techniques (1 paper), Biochemical and Structural Characterization (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Structural Biology (105 citations), Biophysics (184 citations), Molecular Biology (145 citations), Cell Biology (32 citations) and Acoustics and Ultrasonics (1 citation). Daniel Heid has collaborated with scholars based in Germany, Switzerland and Spain. Frequent co-authors include Markus Mund, Krishna Chaitanya Kasuba, Jonas Ries, Moritz Kueblbeck, Konstanty Cieśliński, Ulf Matti, Yule Wu, Jervis Vermal Thevathasan, Pedro M. Pereira and Vilma Jiménez Sabinina. Their work appears in journals such as Leukemia, Nature Methods, Food Chemistry, Bioprocess and Biosystems Engineering and Applied Microbiology and Biotechnology.
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.