Grace Collord
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Hematology 10
- Acute Myeloid Leukemia Research 8
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- Cancer Genomics and Diagnostics 6
- Co-authors
- Fiona Mary Gribble (1 shared paper)Kai Yuen Wong (1 shared paper)Patrick S. Ward (1 shared paper)Abdella M. Habib (1 shared paper)Anna K. Simpson (1 shared paper)Frank M. Reimann (1 shared paper)George S. Vassiliou (5 shared papers)Sam Behjati (5 shared papers)
- Journals
- Science (3 papers)Blood Advances (2 papers)Nature Communications (2 papers)Nature (2 papers)British Journal of Haematology (2 papers)
- Partner nations
- United KingdomSpainGermany
In The Last Decade
Grace Collord
20 papers receiving 2.5k citations
Grace Collord's Hit Papers
Peers
Comparison fields: 5 of 94
- Hematology 601
- Cancer Research 500
- Genetics 311
- Molecular Biology 1.2k
- Nephrology 103
Countries citing papers authored by Grace Collord
This map shows the geographic impact of Grace Collord'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 Grace Collord with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Collord more than expected).
Fields of papers citing papers by Grace Collord
This network shows the impact of papers produced by Grace Collord. 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 Grace Collord. The network helps show where Grace Collord may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace Collord, 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 | Prediction of acute myeloid leukaemia risk in healthy individuals Hit paper breakdown → | 2018 | 657 |
| 2 | Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors Hit paper breakdown → | 2018 | 555 |
| 3 | 2019 | 322 | |
| 4 | 2017 | 194 | |
| 5 | 2018 | 119 | |
| 6 | 2019 | 105 | |
| 7 | 2019 | 93 | |
| 8 | 2018 | 85 | |
| 9 | 2007 | 72 | |
| 10 | 2022 | 61 | |
| 11 | 2018 | 52 | |
| 12 | 2017 | 47 | |
| 13 | 2018 | 27 | |
| 14 | 2021 | 24 | |
| 15 | 2025 | 22 | |
| 16 | 2023 | 17 | |
| 17 | 2017 | 16 | |
| 18 | 2021 | 11 | |
| 19 | 2018 | 7 | |
| 20 | 2023 | 2 |
About Grace Collord
Grace Collord is a scholar working on Hematology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Genetics, having authored 20 papers that have together received 2.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Cancer Genomics and Diagnostics (6 papers), Renal and related cancers (4 papers), Epigenetics and DNA Methylation (3 papers), Single-cell and spatial transcriptomics (3 papers), Sarcoma Diagnosis and Treatment (2 papers), CRISPR and Genetic Engineering (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Hematology (601 citations), Cancer Research (500 citations), Genetics (311 citations), Molecular Biology (1.2k citations) and Nephrology (103 citations). Grace Collord has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include Fiona Mary Gribble, Kai Yuen Wong, Patrick S. Ward, Abdella M. Habib, Anna K. Simpson, Frank M. Reimann, George S. Vassiliou, Sam Behjati, Tim H. H. Coorens and Jack Luke Bartram. Their work appears in journals such as Science, Blood Advances, Nature Communications, Nature and British Journal of Haematology.
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.