Daniel Coleman
Impact in
-
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
-
- Adsorption and biosorption for pollutant removal
Papers in
-
- Acute Myeloid Leukemia Research 6
-
- Epigenetics and DNA Methylation 2
- Histone Deacetylase Inhibitors Research 2
- Protein Degradation and Inhibitors 1
- Co-authors
- Lidija Šiller (1 shared paper)Elif Çalışkan Salihi (1 shared paper)Olaf Heidenreich (6 shared papers)Peter N. Cockerill (7 shared papers)David A. Fulton (1 shared paper)Christopher D.C. Allen (1 shared paper)Constanze Bonifer (5 shared papers)Deepali Pal (1 shared paper)
- Journals
- Cell Reports (2 papers)Style (1 paper)iScience (1 paper)Separation Science and Technology (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Daniel Coleman
15 papers receiving 202 citations
Peers
Comparison fields: 5 of 70
- Hematology 54
- Water Science and Technology 28
- Molecular Biology 84
- Industrial and Manufacturing Engineering 10
- Cancer Research 13
Countries citing papers authored by Daniel Coleman
This map shows the geographic impact of Daniel Coleman'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 Coleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Coleman more than expected).
Fields of papers citing papers by Daniel Coleman
This network shows the impact of papers produced by Daniel Coleman. 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 Coleman. The network helps show where Daniel Coleman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Coleman, 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 | 2016 | 50 | |
| 2 | 2016 | 29 | |
| 3 | 2013 | 27 | |
| 4 | 2024 | 18 | |
| 5 | 2021 | 14 | |
| 6 | 2003 | 12 | |
| 7 | 1999 | 12 | |
| 8 | 2017 | 10 | |
| 9 | 2023 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 4 | |
| 13 | CEO Succession Planning and Organizational Performance: A Human Capital Theory Approach | 2017 | 3 |
| 14 | Tuning in to Conversation in the Novel: Gatsby and the Dynamics of Dialogue | 2000 | 2 |
| 15 | 2023 | 2 |
About Daniel Coleman
Daniel Coleman is a scholar working on Hematology, Molecular Biology, Genetics, Immunology and Clinical Psychology, having authored 15 papers that have together received 203 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Epigenetics and DNA Methylation (2 papers), Histone Deacetylase Inhibitors Research (2 papers), American and British Literature Analysis (1 paper), Advanced Clustering Algorithms Research (1 paper), Poetry Analysis and Criticism (1 paper), Protein Degradation and Inhibitors (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Hematology (54 citations), Water Science and Technology (28 citations), Molecular Biology (84 citations), Industrial and Manufacturing Engineering (10 citations) and Cancer Research (13 citations). Daniel Coleman has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Lidija Šiller, Elif Çalışkan Salihi, Olaf Heidenreich, Peter N. Cockerill, David A. Fulton, Christopher D.C. Allen, Constanze Bonifer, Deepali Pal, Salam A. Assi and Alex Elder. Their work appears in journals such as Cell Reports, Style, iScience, Separation Science and Technology 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.