Stephen E. Meek
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Hematology top 2%
- Blood Coagulation and Thrombosis Mechanisms
Papers in
-
- Pluripotent Stem Cells Research 8
- CRISPR and Genetic Engineering 7
- PI3K/AKT/mTOR signaling in cancer 3
- Biochemical and Molecular Research 2
- Genomics and Chromatin Dynamics 2
- Genetics 9
- Animal Genetics and Reproduction 4
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 3
- Co-authors
- Andrew J. H. Smith (8 shared papers)Bart Vanhaesebroeck (4 shared papers)Klaus Okkenhaug (3 shared papers)Wayne P Pearce (3 shared papers)Ashreena Salpekar (3 shared papers)Emma Peskett (2 shared papers)Sara Sancho (2 shared papers)Antonio Bilancio (2 shared papers)
- Journals
- Stem Cell Reports (2 papers)Gene (2 papers)Journal of Clinical Investigation (2 papers)Scientific Reports (2 papers)Journal of Cell Science (2 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Stephen E. Meek
31 papers receiving 4.1k citations
Stephen E. Meek's Hit Papers
Peers
Comparison fields: 5 of 114
- Genetics 650
- Hematology 528
- Immunology 789
- Molecular Biology 2.5k
- Developmental Neuroscience 127
Countries citing papers authored by Stephen E. Meek
This map shows the geographic impact of Stephen E. Meek'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 Stephen E. Meek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen E. Meek more than expected).
Fields of papers citing papers by Stephen E. Meek
This network shows the impact of papers produced by Stephen E. Meek. 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 Stephen E. Meek. The network helps show where Stephen E. Meek may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen E. Meek, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Impaired B and T Cell Antigen Receptor Signaling in p110δ PI 3-Kinase Mutant Mice Hit paper breakdown → | 2002 | 822 |
| 2 | 2008 | 650 | |
| 3 | 2008 | 449 | |
| 4 | 2006 | 415 | |
| 5 | 2008 | 304 | |
| 6 | 2005 | 293 | |
| 7 | 2003 | 259 | |
| 8 | 2003 | 251 | |
| 9 | 2011 | 160 | |
| 10 | 2018 | 109 | |
| 11 | 2002 | 77 | |
| 12 | 2006 | 72 | |
| 13 | 2007 | 52 | |
| 14 | 2017 | 51 | |
| 15 | 2010 | 37 | |
| 16 | 2013 | 36 | |
| 17 | 2012 | 27 | |
| 18 | 2016 | 25 | |
| 19 | 2024 | 17 | |
| 20 | 2019 | 16 |
About Stephen E. Meek
Stephen E. Meek is a scholar working on Molecular Biology, Genetics, Genetics, Hematology and Cancer Research, having authored 31 papers that have together received 4.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (7 papers), Animal Genetics and Reproduction (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Biochemical and Molecular Research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Genetics (650 citations), Hematology (528 citations), Immunology (789 citations), Molecular Biology (2.5k citations) and Developmental Neuroscience (127 citations). Stephen E. Meek has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Andrew J. H. Smith, Bart Vanhaesebroeck, Klaus Okkenhaug, Wayne P Pearce, Ashreena Salpekar, Emma Peskett, Sara Sancho, Antonio Bilancio, Mia L. Buehr and Lazaros C. Foukas. Their work appears in journals such as Stem Cell Reports, Gene, Journal of Clinical Investigation, Scientific Reports and Journal of Cell Science.
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.