Paul E. Mead
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
-
- Epigenetics and DNA Methylation 11
- CRISPR and Genetic Engineering 9
- Pluripotent Stem Cells Research 7
- Developmental Biology and Gene Regulation 6
- Genetics 11
- Animal Genetics and Reproduction 7
- Co-authors
- Leonard I. Zon (12 shared papers)Clair Kelley (10 shared papers)Tara L. Huber (5 shared papers)Emin Kuliyev (15 shared papers)Donald Yergeau (10 shared papers)John W. Tweedie (2 shared papers)Anne E. Deconinck (3 shared papers)James B. Turpen (1 shared paper)
- Journals
- Development (4 papers)Developmental Dynamics (4 papers)Blood (3 papers)Mechanisms of Development (2 papers)Cancer (1 paper)
- Partner nations
- United StatesNew ZealandAustralia
In The Last Decade
Paul E. Mead
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Cell Biology 369
- Hematology 231
- Molecular Biology 993
- Genetics 95
- Genetics 245
Countries citing papers authored by Paul E. Mead
This map shows the geographic impact of Paul E. Mead'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 Paul E. Mead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul E. Mead more than expected).
Fields of papers citing papers by Paul E. Mead
This network shows the impact of papers produced by Paul E. Mead. 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 Paul E. Mead. The network helps show where Paul E. Mead may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul E. Mead, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 125 | |
| 2 | 1997 | 111 | |
| 3 | 1998 | 105 | |
| 4 | 2020 | 96 | |
| 5 | 1998 | 90 | |
| 6 | 2000 | 84 | |
| 7 | 2006 | 78 | |
| 8 | 2001 | 70 | |
| 9 | 1997 | 63 | |
| 10 | 1990 | 51 | |
| 11 | 1996 | 51 | |
| 12 | 1998 | 49 | |
| 13 | 2005 | 47 | |
| 14 | 2012 | 35 | |
| 15 | 2001 | 34 | |
| 16 | 2007 | 27 | |
| 17 | 2019 | 26 | |
| 18 | 2007 | 20 | |
| 19 | 2009 | 19 | |
| 20 | 2015 | 17 |
About Paul E. Mead
Paul E. Mead is a scholar working on Molecular Biology, Genetics, Cell Biology, Hematology and Plant Science, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), CRISPR and Genetic Engineering (9 papers), Zebrafish Biomedical Research Applications (9 papers), Pluripotent Stem Cells Research (7 papers), Animal Genetics and Reproduction (7 papers), Acute Myeloid Leukemia Research (6 papers), Chromosomal and Genetic Variations (6 papers) and Developmental Biology and Gene Regulation (6 papers). The work is most often cited by research in Cell Biology (369 citations), Hematology (231 citations), Molecular Biology (993 citations), Genetics (95 citations) and Genetics (245 citations). Paul E. Mead has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Leonard I. Zon, Clair Kelley, Tara L. Huber, Emin Kuliyev, Donald Yergeau, John W. Tweedie, Anne E. Deconinck, James B. Turpen, Stuart H. Orkin and Yi Zhou. Their work appears in journals such as Development, Developmental Dynamics, Blood, Mechanisms of Development and Cancer.
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.