Daniel Biggs
Impact in
- Hematology top 5%
- Iron Metabolism and Disorders
- Erythropoietin and Anemia Treatment
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
Papers in ⓘ
-
- CRISPR and Genetic Engineering 8
- Pluripotent Stem Cells Research 4
- DNA Repair Mechanisms 3
- Genomics and Chromatin Dynamics 3
- Genetics 6
- Animal Genetics and Reproduction 5
- Hemoglobinopathies and Related Disorders 3
- Co-authors
- Benjamin Davies (15 shared papers)Rebeca Diaz (6 shared papers)Chris Preece (8 shared papers)Samira Lakhal‐Littleton (3 shared papers)Peter A. Robbins (3 shared papers)Magda Wolna (2 shared papers)Helen Christian (2 shared papers)Vicky Ball (2 shared papers)
- Journals
- Stem Cells (1 paper)Scientific Reports (1 paper)Nature Structural & Molecular Biology (1 paper)Nature (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Daniel Biggs
15 papers receiving 779 citations
Peers
Comparison fields: 5 of 75
- Hematology 250
- Genetics 206
- Nutrition and Dietetics 137
- Aging 12
- Molecular Biology 428
Countries citing papers authored by Daniel Biggs
This map shows the geographic impact of Daniel Biggs'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 Biggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Biggs more than expected).
Fields of papers citing papers by Daniel Biggs
This network shows the impact of papers produced by Daniel Biggs. 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 Biggs. The network helps show where Daniel Biggs may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Biggs, 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 | 2015 | 182 | |
| 2 | 2017 | 150 | |
| 3 | 2016 | 149 | |
| 4 | 2016 | 146 | |
| 5 | 2018 | 66 | |
| 6 | 2020 | 34 | |
| 7 | 2016 | 13 | |
| 8 | 2017 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2015 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 1 |
About Daniel Biggs
Daniel Biggs is a scholar working on Molecular Biology, Genetics, Genetics, Hematology and Nutrition and Dietetics, having authored 15 papers that have together received 782 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Animal Genetics and Reproduction (5 papers), Pluripotent Stem Cells Research (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Iron Metabolism and Disorders (3 papers), DNA Repair Mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Hematology (250 citations), Genetics (206 citations), Nutrition and Dietetics (137 citations), Aging (12 citations) and Molecular Biology (428 citations). Daniel Biggs has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Benjamin Davies, Rebeca Diaz, Chris Preece, Samira Lakhal‐Littleton, Peter A. Robbins, Magda Wolna, Helen Christian, Vicky Ball, Lars L. P. Hanssen and Mira Kassouf. Their work appears in journals such as Stem Cells, Scientific Reports, Nature Structural & Molecular Biology, Nature and Nature Cell Biology.
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.