Gillian E. May
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Molecular Biology top 10%
- Gene Regulatory Network Analysis
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
Papers in
-
- Acute Myeloid Leukemia Research 6
- Hematopoietic Stem Cell Transplantation 3
-
- Immune cells in cancer 2
- Co-authors
- Tariq Enver (19 shared papers)Yanping Guo (5 shared papers)Sui Huang (2 shared papers)Heather B. Wood (2 shared papers)Lyn E. Healy (2 shared papers)Gillian M. Morriss‐Kay (2 shared papers)Kim H. Orchard (1 shared paper)Cristina Pina (5 shared papers)
- Journals
- Blood (7 papers)Developmental Biology (3 papers)Cell stem cell (3 papers)Cell Reports (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Gillian E. May
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Hematology 249
- Molecular Biology 931
- Cell Biology 212
- Immunology 205
- Genetics 82
Countries citing papers authored by Gillian E. May
This map shows the geographic impact of Gillian E. May'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 Gillian E. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gillian E. May more than expected).
Fields of papers citing papers by Gillian E. May
This network shows the impact of papers produced by Gillian E. May. 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 Gillian E. May. The network helps show where Gillian E. May may publish in the future.
Co-authors
The 25 scholars most cited alongside Gillian E. May, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 423 | |
| 2 | 1997 | 185 | |
| 3 | 1995 | 93 | |
| 4 | 2009 | 93 | |
| 5 | 2008 | 73 | |
| 6 | 1993 | 66 | |
| 7 | 2013 | 62 | |
| 8 | 2015 | 57 | |
| 9 | 2008 | 54 | |
| 10 | 2015 | 50 | |
| 11 | 1997 | 20 | |
| 12 | 1989 | 20 | |
| 13 | 2020 | 19 | |
| 14 | 2007 | 13 | |
| 15 | 1994 | 13 | |
| 16 | 2017 | 12 | |
| 17 | 2016 | 8 | |
| 18 | 2001 | 3 | |
| 19 | 2008 | 2 | |
| 20 | 2006 | 1 |
About Gillian E. May
Gillian E. May is a scholar working on Hematology, Immunology, Molecular Biology, Cell Biology and Genetics, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Acute Myeloid Leukemia Research (6 papers), CRISPR and Genetic Engineering (4 papers), Gene Regulatory Network Analysis (3 papers), Epigenetics and DNA Methylation (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Hematology (249 citations), Molecular Biology (931 citations), Cell Biology (212 citations), Immunology (205 citations) and Genetics (82 citations). Gillian E. May has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Tariq Enver, Yanping Guo, Sui Huang, Heather B. Wood, Lyn E. Healy, Gillian M. Morriss‐Kay, Kim H. Orchard, Cristina Pina, Alex J. Tipping and Shamit Soneji. Their work appears in journals such as Blood, Developmental Biology, Cell stem cell, Cell Reports and Journal of Biological Chemistry.
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.