Ian Chambers
- Molecular Biology top 0.1%
- Pluripotent Stem Cells Research 61
- CRISPR and Genetic Engineering 50
- Renal and related cancers 23
- Epigenetics and DNA Methylation 8
- Genomics and Chromatin Dynamics 6
- Aging top 1%
- Developmental Neuroscience top 1%
- Genetics top 0.5%
- Animal Genetics and Reproduction 6
- Genetics top 1%
- Animal Genetics and Reproduction 6
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- 3D Printing in Biomedical Research 12
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- Reproductive Biology and Fertility 7
- Co-authors
- Austin SmithJennifer NicholsHitoshi NiwaDouglas ColbyMorag RobertsonTom BurdonQi-Long YingSusan Tweedie
- Partner nations
- United KingdomJapanNetherlands
In The Last Decade
Ian Chambers
84 papers receiving 17.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 15.2k
- Aging 228
- Developmental Neuroscience 460
- Genetics 2.3k
- Genetics 784
Countries citing papers authored by Ian Chambers
This map shows the geographic impact of Ian Chambers'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 Ian Chambers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Chambers more than expected).
Fields of papers citing papers by Ian Chambers
This network shows the impact of papers produced by Ian Chambers. 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 Ian Chambers. The network helps show where Ian Chambers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ian Chambers, 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 | 8 | |
| 2 | 2020 | 6 | |
| 3 | 2020 | 4 | |
| 4 | 2018 | 24 | |
| 5 | 2018 | 35 | |
| 6 | 2018 | 136 | |
| 7 | 2018 | 49 | |
| 8 | 2016 | 43 | |
| 9 | 2015 | 26 | |
| 10 | 2013 | 192 | |
| 11 | Nanog Is the Gateway to the Pluripotent Ground Statebreakdown → | 2009 | 785 |
| 12 | 2008 | 261 | |
| 13 | 2006 | 11 | |
| 14 | 2005 | 83 | |
| 15 | 2004 | 145 | |
| 16 | BMP Induction of Id Proteins Suppresses Differentiation and Sustains Embryonic Stem Cell Self-Renewal in Collaboration with STAT3breakdown → | 2003 | 1626 |
| 17 | Functional Expression Cloning of Nanog, a Pluripotency Sustaining Factor in Embryonic Stem Cellsbreakdown → | 2003 | 2519 |
| 18 | Paracrine induction of stem cell renewal by LIF-deficient cells | 1998 | 3 |
| 19 | Formation of Pluripotent Stem Cells in the Mammalian Embryo Depends on the POU Transcription Factor Oct4breakdown → | 1998 | 2622 |
| 20 | 1996 | 126 |
About Ian Chambers
Ian Chambers is a scholar working on Molecular Biology, Toxicology and Aging, having authored 85 papers that have together received 17.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (61 papers), CRISPR and Genetic Engineering (50 papers), Renal and related cancers (23 papers), 3D Printing in Biomedical Research (12 papers), Epigenetics and DNA Methylation (8 papers), Reproductive Biology and Fertility (7 papers), Animal Genetics and Reproduction (6 papers) and Genomics and Chromatin Dynamics (6 papers). The work is most often cited by research in Molecular Biology (15.2k citations), Aging (228 citations) and Developmental Neuroscience (460 citations). Ian Chambers has collaborated with scholars based in United Kingdom, Japan and Netherlands. Frequent co-authors include Austin Smith, Jennifer Nichols, Hitoshi Niwa, Douglas Colby, Morag Robertson, Tom Burdon, Qi-Long Ying, Susan Tweedie, Sonia Lee and Branko Zevnik. Their work appears in journals such as Nature, The EMBO Journal, Development, Cell and Cell stem cell.
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.