Gillian 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
-
- Single-cell and spatial transcriptomics 5
- CRISPR and Genetic Engineering 4
- Epigenetics and DNA Methylation 3
- Gene Regulatory Network Analysis 3
-
- Acute Myeloid Leukemia Research 6
- Hematopoietic Stem Cell Transplantation 3
- Co-authors
- Tariq Enver (18 shared papers)Yanping Guo (5 shared papers)Sui Huang (2 shared papers)Gillian Morriss‐Kay (2 shared papers)Heather Wood (2 shared papers)Lyn Healy (2 shared papers)Kim Orchard (1 shared paper)Cristina Pina (5 shared papers)
- Journals
- Blood (7 papers)Cell stem cell (3 papers)Developmental Biology (3 papers)Trends in Cell Biology (1 paper)Cell Reports (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Gillian May
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Hematology 248
- Molecular Biology 946
- Cell Biology 205
- Immunology 203
- Biophysics 46
Countries citing papers authored by Gillian May
This map shows the geographic impact of Gillian 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 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 May more than expected).
Fields of papers citing papers by Gillian May
This network shows the impact of papers produced by Gillian 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 May. The network helps show where Gillian May may publish in the future.
Co-authors
The 25 scholars most cited alongside Gillian 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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 407 | |
| 2 | 1997 | 174 | |
| 3 | 1995 | 95 | |
| 4 | 2009 | 90 | |
| 5 | 2008 | 69 | |
| 6 | 1993 | 66 | |
| 7 | 2013 | 58 | |
| 8 | 2015 | 56 | |
| 9 | 2008 | 54 | |
| 10 | 2015 | 49 | |
| 11 | 1997 | 22 | |
| 12 | 1989 | 20 | |
| 13 | 2020 | 17 | |
| 14 | 1994 | 14 | |
| 15 | 2007 | 12 | |
| 16 | 2017 | 11 | |
| 17 | 2016 | 8 | |
| 18 | 2008 | 1 | |
| 19 | 2006 | 1 | |
| 20 | 2008 | 1 |
About Gillian May
Gillian May is a scholar working on Molecular Biology, Hematology, Immunology, Cell Biology and Genetics, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Single-cell and spatial transcriptomics (5 papers), CRISPR and Genetic Engineering (4 papers), Epigenetics and DNA Methylation (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Zebrafish Biomedical Research Applications (3 papers), Gene Regulatory Network Analysis (3 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (248 citations), Molecular Biology (946 citations), Cell Biology (205 citations), Immunology (203 citations) and Biophysics (46 citations). Gillian May has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Tariq Enver, Yanping Guo, Sui Huang, Gillian Morriss‐Kay, Heather Wood, Lyn Healy, Kim Orchard, Cristina Pina, Alex J. Tipping and Shamit Soneji. Their work appears in journals such as Blood, Cell stem cell, Developmental Biology, Trends in Cell Biology and Cell Reports.
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.