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
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- Protein Hydrolysis and Bioactive Peptides 3
- CRISPR and Genetic Engineering 2
- Protein Degradation and Inhibitors 1
- Genomics, phytochemicals, and oxidative stress 1
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- Acute Myeloid Leukemia Research 2
- Co-authors
- Krishna Chaitanya Kasuba (1 shared paper)Konstanty Cieśliński (1 shared paper)Philipp Hoess (1 shared paper)Moritz Kueblbeck (1 shared paper)Jan Ellenberg (1 shared paper)Vilma Jiménez Sabinina (1 shared paper)Jonas Ries (1 shared paper)Jervis Vermal Thevathasan (1 shared paper)
- Journals
- Leukemia (2 papers)Nature Methods (1 paper)Bioresource Technology (1 paper)Bioprocess and Biosystems Engineering (1 paper)Oxidative Medicine and Cellular Longevity (1 paper)
- Partner nations
- GermanySwitzerlandSpain
In The Last Decade
Daniel Heid
11 papers receiving 399 citations
Peers
Comparison fields: 5 of 77
- Structural Biology 104
- Biophysics 187
- Molecular Biology 185
- Orthopedics and Sports Medicine 19
- Cell Biology 32
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 | 239 | |
| 2 | 2018 | 70 | |
| 3 | 2017 | 32 | |
| 4 | 2019 | 19 | |
| 5 | 2023 | 16 | |
| 6 | 2022 | 13 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 0 |
About Daniel Heid
Daniel Heid is a scholar working on Molecular Biology, Hematology, Genetics, Biophysics and Organic Chemistry, having authored 12 papers that have together received 407 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), Genomics, phytochemicals, and oxidative stress (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper) and Evolution and Genetic Dynamics (1 paper). The work is most often cited by research in Structural Biology (104 citations), Biophysics (187 citations), Molecular Biology (185 citations), Orthopedics and Sports Medicine (19 citations) and Cell Biology (32 citations). Daniel Heid has collaborated with scholars based in Germany, Switzerland and Spain. Frequent co-authors include Krishna Chaitanya Kasuba, Konstanty Cieśliński, Philipp Hoess, Moritz Kueblbeck, Jan Ellenberg, Vilma Jiménez Sabinina, Jonas Ries, Jervis Vermal Thevathasan, Yule Wu and Ricardo Henriques. Their work appears in journals such as Leukemia, Nature Methods, Bioresource Technology, Bioprocess and Biosystems Engineering and Oxidative Medicine and Cellular Longevity.
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.