Daniel J. White
- Aging top 0.1%
- Biophysics top 0.02%
- Cell Image Analysis Techniques 4
- Structural Biology top 0.2%
- Cell Biology top 0.05%
- Molecular Biology top 0.1%
- DNA Repair Mechanisms 4
- Biochemical and Molecular Research 3
- Genetics, Bioinformatics, and Biomedical Research 3
- Protist diversity and phylogeny 2
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- Enzyme Structure and Function 4
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- Acute Lymphoblastic Leukemia research 3
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- Image Processing Techniques and Applications 3
- Co-authors
- Erwin FriseKevin W. EliceiriJean-Yves TinévezAlbert CardonaCurtis RuedenBenjamin SchmidIgnacio Arganda‐CarrerasStephan Saalfeld
- Cited by
- AgingBiophysicsStructural Biology
- Journals
- Biochemistry (3 papers)British Journal of Haematology (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Daniel J. White
35 papers receiving 45.5k citations
Hit Papers
Peers
Comparison fields: 5 of 216
- Aging 913
- Biophysics 2.7k
- Structural Biology 601
- Cell Biology 5.9k
- Molecular Biology 18.4k
Countries citing papers authored by Daniel J. White
This map shows the geographic impact of Daniel J. White'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 J. White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. White more than expected).
Fields of papers citing papers by Daniel J. White
This network shows the impact of papers produced by Daniel J. White. 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 J. White. The network helps show where Daniel J. White may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel J. White, 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 | 2024 | 19 | |
| 2 | 2017 | 10 | |
| 3 | SatNOGS: Satellite Networked Open Ground Station | 2015 | 9 |
| 4 | 2014 | 4 | |
| 5 | Fiji: an open-source platform for biological-image analysisbreakdown → | 2012 | 44856 |
| 6 | 2009 | 20 | |
| 7 | 2008 | 5 | |
| 8 | 2007 | 24 | |
| 9 | 2007 | 67 | |
| 10 | 2007 | 25 | |
| 11 | 2006 | 25 | |
| 12 | 2006 | 7 | |
| 13 | 2006 | 40 | |
| 14 | 2006 | 7 | |
| 15 | 2003 | 131 | |
| 16 | 2001 | 37 | |
| 17 | 1999 | 15 | |
| 18 | 1997 | 23 | |
| 19 | 1993 | 14 | |
| 20 | 1987 | 18 |
About Daniel J. White
Daniel J. White is a scholar working on Biophysics, Hematology and Media Technology, having authored 36 papers that have together received 45.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Cell Image Analysis Techniques (4 papers), Enzyme Structure and Function (4 papers), Biochemical and Molecular Research (3 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Image Processing Techniques and Applications (3 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Aging (913 citations), Biophysics (2.7k citations) and Structural Biology (601 citations). Daniel J. White has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Erwin Frise, Kevin W. Eliceiri, Jean-Yves Tinévez, Albert Cardona, Curtis Rueden, Benjamin Schmid, Ignacio Arganda‐Carreras, Stephan Saalfeld, Pavel Tomančák and Johannes Schindelin. Their work appears in journals such as Biochemistry, British Journal of Haematology, The Journal of Immunology, Nature Methods and Biochemical Journal.
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.