Daniel Heid
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
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- Acute Myeloid Leukemia Research 3
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- Bone Metabolism and Diseases 2
- RNA modifications and cancer 2
- Studies on Chitinases and Chitosanases 1
- Co-authors
- Jervis Vermal Thevathasan (1 shared paper)Pedro M. Pereira (1 shared paper)Ricardo Henriques (1 shared paper)Manuel Reitberger (1 shared paper)Ulf Matti (1 shared paper)Maurice Kahnwald (1 shared paper)Philipp Hoess (1 shared paper)Konstanty Cieśliński (1 shared paper)
- Journals
- Blood (2 papers)Leukemia (2 papers)Science Translational Medicine (1 paper)Nature Methods (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Daniel Heid
16 papers receiving 665 citations
Daniel Heid's Hit Papers
Peers
Comparison fields: 5 of 70
- Biophysics 202
- Hematology 69
- Oncology 75
- Immunology 48
- Molecular Biology 155
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 | Nuclear pores as versatile reference standards for quantitative superresolution microscopy Hit paper breakdown → | 2019 | 254 |
| 2 | 2020 | 105 | |
| 3 | 2018 | 75 | |
| 4 | 2022 | 71 | |
| 5 | 2021 | 47 | |
| 6 | 2017 | 31 | |
| 7 | 2023 | 21 | |
| 8 | 2019 | 20 | |
| 9 | 2024 | 20 | |
| 10 | 2022 | 12 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 |
About Daniel Heid
Daniel Heid is a scholar working on Hematology, Molecular Biology, Oncology, Biotechnology and Biochemistry, having authored 16 papers that have together received 673 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Bone Metabolism and Diseases (2 papers), RNA modifications and cancer (2 papers), Studies on Chitinases and Chitosanases (1 paper), Immune cells in cancer (1 paper), Biofuel production and bioconversion (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Biophysics (202 citations), Hematology (69 citations), Oncology (75 citations), Immunology (48 citations) and Molecular Biology (155 citations). Daniel Heid has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Jervis Vermal Thevathasan, Pedro M. Pereira, Ricardo Henriques, Manuel Reitberger, Ulf Matti, Maurice Kahnwald, Philipp Hoess, Konstanty Cieśliński, Jan Ellenberg and Vilma Jiménez Sabinina. Their work appears in journals such as Blood, Leukemia, Science Translational Medicine, Nature Methods and Nature Communications.
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.