Jeff Mann
- Developmental Neuroscience top 2%
- Genetics top 2%
- Genetic Syndromes and Imprinting 12
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 7
- Animal Genetics and Reproduction 3
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 10
- RNA Research and Splicing 4
- Genomics and Chromatin Dynamics 3
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- Prenatal Screening and Diagnostics 8
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- Trace Elements in Health 4
- Co-authors
- Piroska E. SzabóRobin Lovell‐BadgeGalya VassilevaAndrew P. McMahonMiles G. CunninghamRon McKayBrian A. ParrBrian Gavin
- Journals
- Development (4 papers)Biochemical Journal (3 papers)Cytogenetic and Genome Research (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jeff Mann
28 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 84
- Developmental Neuroscience 292
- Genetics 917
- Molecular Biology 1.5k
- Pediatrics, Perinatology and Child Health 433
- Cellular and Molecular Neuroscience 268
Countries citing papers authored by Jeff Mann
This map shows the geographic impact of Jeff Mann'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 Jeff Mann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Mann more than expected).
Fields of papers citing papers by Jeff Mann
This network shows the impact of papers produced by Jeff Mann. 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 Jeff Mann. The network helps show where Jeff Mann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeff Mann, 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 | 2021 | 36 | |
| 2 | 2017 | 6 | |
| 3 | 2015 | 21 | |
| 4 | 1999 | 6 | |
| 5 | Mice transgenic for human carcinoembryonic antigen as a model for immunotherapy. | 1998 | 133 |
| 6 | 1997 | 2 | |
| 7 | 1997 | 58 | |
| 8 | 1995 | 212 | |
| 9 | 1994 | 495 | |
| 10 | 1993 | 10 | |
| 11 | 1991 | 49 | |
| 12 | 1990 | 10 | |
| 13 | 1990 | 129 | |
| 14 | 1988 | 24 | |
| 15 | 1986 | 38 | |
| 16 | 1984 | 120 | |
| 17 | 1982 | 26 | |
| 18 | 1981 | 20 | |
| 19 | 1980 | 35 | |
| 20 | 1979 | 69 |
About Jeff Mann
Jeff Mann is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Molecular Biology, Nutrition and Dietetics and Developmental Neuroscience, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (12 papers), Epigenetics and DNA Methylation (10 papers), Prenatal Screening and Diagnostics (8 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), Trace Elements in Health (4 papers), RNA Research and Splicing (4 papers), Animal Genetics and Reproduction (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Developmental Neuroscience (292 citations), Genetics (917 citations), Molecular Biology (1.5k citations), Pediatrics, Perinatology and Child Health (433 citations) and Cellular and Molecular Neuroscience (268 citations). Jeff Mann has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Piroska E. Szabó, Robin Lovell‐Badge, Galya Vassileva, Andrew P. McMahon, Miles G. Cunningham, Ron McKay, Brian A. Parr, Brian Gavin, Lyle B. Zimmerman and Urban Lendahl. Their work appears in journals such as Development, Biochemical Journal, Cytogenetic and Genome Research, Genes & Development and Inflammation Research.
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.