Daniel Biggs
Impact in
- Hematology top 5%
- Iron Metabolism and Disorders
- Erythropoietin and Anemia Treatment
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
Papers in
- Genetics 4
- Animal Genetics and Reproduction 5
- Hemoglobinopathies and Related Disorders 3
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- CRISPR and Genetic Engineering 8
- Pluripotent Stem Cells Research 4
- Genomics and Chromatin Dynamics 3
- DNA Repair Mechanisms 2
- Co-authors
- Benjamin Davies (15 shared papers)Rebeca Diaz (6 shared papers)Chris Preece (7 shared papers)Peter A. Robbins (3 shared papers)Samira Lakhal‐Littleton (3 shared papers)Helen Christian (2 shared papers)Magda Wolna (2 shared papers)Vicky Ball (2 shared papers)
- Journals
- eLife (1 paper)Cell (1 paper)Journal of Clinical Investigation (1 paper)Lab Animal (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Daniel Biggs
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 103
- Hematology 256
- Genetics 221
- Aging 20
- Molecular Biology 744
- Genetics 274
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 | 2013 | 398 | |
| 2 | 2015 | 201 | |
| 3 | 2016 | 163 | |
| 4 | 2017 | 158 | |
| 5 | 2016 | 156 | |
| 6 | 2018 | 73 | |
| 7 | 2017 | 38 | |
| 8 | 2020 | 35 | |
| 9 | 2019 | 27 | |
| 10 | 2024 | 24 | |
| 11 | 2016 | 16 | |
| 12 | 2017 | 15 | |
| 13 | 2024 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2021 | 9 | |
| 16 | 2015 | 8 | |
| 17 | 2021 | 5 | |
| 18 | 2025 | 2 | |
| 19 | 2023 | 1 |
About Daniel Biggs
Daniel Biggs is a scholar working on Genetics, Genetics, Molecular Biology, Hematology and Cancer Research, having authored 19 papers that have together received 1.4k 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), Iron Metabolism and Disorders (3 papers), Genomics and Chromatin Dynamics (3 papers), Hemoglobinopathies and Related Disorders (3 papers), DNA Repair Mechanisms (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Hematology (256 citations), Genetics (221 citations), Aging (20 citations), Molecular Biology (744 citations) and Genetics (274 citations). Daniel Biggs has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Benjamin Davies, Rebeca Diaz, Chris Preece, Peter A. Robbins, Samira Lakhal‐Littleton, Helen Christian, Magda Wolna, Vicky Ball, Lars Hanssen and Damian J. Tyler. Their work appears in journals such as eLife, Cell, Journal of Clinical Investigation, Lab Animal 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.