Carl Ward
Impact in
- Cell Biology top 10%
- Muscle metabolism and nutrition
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
-
- Pluripotent Stem Cells Research 6
- Epigenetics and DNA Methylation 4
- CRISPR and Genetic Engineering 4
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
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- Acute Myeloid Leukemia Research 6
- Co-authors
- Sovan Sarkar (5 shared papers)Elsje G. Otten (2 shared papers)Viktor I. Korolchuk (2 shared papers)Rajat Singh (1 shared paper)Nuria Martínez-López (1 shared paper)Dorothea Maetzel (1 shared paper)Bernadette Carroll (1 shared paper)Irwin Jungreis (2 shared papers)
- Journals
- Scientific Reports (4 papers)Stem Cell Research (2 papers)Leukemia (2 papers)Journal of Visualized Experiments (2 papers)Genomics Proteomics & Bioinformatics (2 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Carl Ward
28 papers receiving 700 citations
Peers
Comparison fields: 5 of 86
- Cell Biology 133
- Biochemistry 57
- Molecular Biology 463
- Physiology 28
- Physiology 125
Countries citing papers authored by Carl Ward
This map shows the geographic impact of Carl Ward'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 Carl Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl Ward more than expected).
Fields of papers citing papers by Carl Ward
This network shows the impact of papers produced by Carl Ward. 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 Carl Ward. The network helps show where Carl Ward may publish in the future.
Co-authors
The 25 scholars most cited alongside Carl Ward, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 200 | |
| 2 | 2014 | 140 | |
| 3 | 2017 | 94 | |
| 4 | 2016 | 37 | |
| 5 | 2018 | 22 | |
| 6 | 2012 | 19 | |
| 7 | 2018 | 18 | |
| 8 | 2019 | 18 | |
| 9 | 2017 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 14 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2017 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2016 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 2022 | 8 |
About Carl Ward
Carl Ward is a scholar working on Molecular Biology, Hematology, Epidemiology, Cell Biology and Cancer Research, having authored 29 papers that have together received 709 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Pluripotent Stem Cells Research (6 papers), Autophagy in Disease and Therapy (5 papers), Epigenetics and DNA Methylation (4 papers), CRISPR and Genetic Engineering (4 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers) and Calcium signaling and nucleotide metabolism (3 papers). The work is most often cited by research in Cell Biology (133 citations), Biochemistry (57 citations), Molecular Biology (463 citations), Physiology (28 citations) and Physiology (125 citations). Carl Ward has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Sovan Sarkar, Elsje G. Otten, Viktor I. Korolchuk, Rajat Singh, Nuria Martínez-López, Dorothea Maetzel, Bernadette Carroll, Irwin Jungreis, Jiao Ma and Manolis Kellis. Their work appears in journals such as Scientific Reports, Stem Cell Research, Leukemia, Journal of Visualized Experiments and Genomics Proteomics & Bioinformatics.
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.