Paul E. Mead
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
Papers in
- Cell Biology 10
- Zebrafish Biomedical Research Applications 9
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- Epigenetics and DNA Methylation 12
- Pluripotent Stem Cells Research 7
- Developmental Biology and Gene Regulation 6
- CRISPR and Genetic Engineering 6
- Co-authors
- Leonard Ira Zon (12 shared papers)Clair M. Kelley (10 shared papers)Tara L. Huber (5 shared papers)Emin Kuliyev (15 shared papers)John W. Tweedie (3 shared papers)Anne E. Deconinck (3 shared papers)James B. Turpen (1 shared paper)Stuart H. Orkin (2 shared papers)
- Journals
- Blood (4 papers)Developmental Dynamics (4 papers)Development (4 papers)Mechanisms of Development (2 papers)Nature (1 paper)
- Partner nations
- United StatesNew ZealandAustralia
In The Last Decade
Paul E. Mead
47 papers receiving 2.2k citations
Paul E. Mead's Hit Papers
Peers
Comparison fields: 5 of 106
- Hematology 349
- Cell Biology 424
- Molecular Biology 1.5k
- Genetics 400
- Aging 21
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Genome of the Western Clawed Frog Xenopus tropicalis Hit paper breakdown → | 2010 | 642 |
| 2 | 2021 | 133 | |
| 3 | 1996 | 132 | |
| 4 | 2020 | 126 | |
| 5 | 1997 | 119 | |
| 6 | 1998 | 104 | |
| 7 | 1998 | 95 | |
| 8 | 2000 | 87 | |
| 9 | 2006 | 80 | |
| 10 | 2001 | 74 | |
| 11 | 1997 | 63 | |
| 12 | 1990 | 56 | |
| 13 | 1996 | 54 | |
| 14 | 1998 | 48 | |
| 15 | 2005 | 47 | |
| 16 | 2022 | 40 | |
| 17 | 2012 | 39 | |
| 18 | 2001 | 35 | |
| 19 | 2019 | 30 | |
| 20 | 2007 | 28 |
About Paul E. Mead
Paul E. Mead is a scholar working on Cell Biology, Molecular Biology, Hematology, Genetics and Genetics, having authored 47 papers that have together received 2.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), Zebrafish Biomedical Research Applications (9 papers), Pluripotent Stem Cells Research (7 papers), Acute Myeloid Leukemia Research (7 papers), Developmental Biology and Gene Regulation (6 papers), CRISPR and Genetic Engineering (6 papers), Animal Genetics and Reproduction (6 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Hematology (349 citations), Cell Biology (424 citations), Molecular Biology (1.5k citations), Genetics (400 citations) and Aging (21 citations). Paul E. Mead has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Leonard Ira Zon, Clair M. Kelley, Tara L. Huber, Emin Kuliyev, John W. Tweedie, Anne E. Deconinck, James B. Turpen, Stuart H. Orkin, Donald Albert Yergeau and Yi Zhou. Their work appears in journals such as Blood, Developmental Dynamics, Development, Mechanisms of Development and Nature.
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.