Ned Lamb
- Cell Biology top 0.5%
- Microtubule and mitosis dynamics 16
- Molecular Biology top 0.5%
- Muscle Physiology and Disorders 18
- RNA Research and Splicing 15
- Ubiquitin and proteasome pathways 12
- RNA Interference and Gene Delivery 9
- Genomics and Chromatin Dynamics 8
- Protein Kinase Regulation and GTPase Signaling 7
- Oncology top 1%
- Cancer-related Molecular Pathways 18
- Aging top 2%
- Cancer Research top 2%
- Co-authors
- Anne FernandezRichard H. GoodmanMasatoshi HagiwaraMarc MontminyJohn C. ChriviaRoland P.S. KwokF GirardUlrich Strausfeld
- Journals
- The Journal of Cell Biology (9 papers)Molecular Biology of the Cell (8 papers)Journal of Biological Chemistry (7 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Ned Lamb
90 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cell Biology 1.8k
- Molecular Biology 7.5k
- Oncology 1.8k
- Aging 110
- Cancer Research 740
Countries citing papers authored by Ned Lamb
This map shows the geographic impact of Ned Lamb'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 Ned Lamb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ned Lamb more than expected).
Fields of papers citing papers by Ned Lamb
This network shows the impact of papers produced by Ned Lamb. 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 Ned Lamb. The network helps show where Ned Lamb may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ned Lamb, 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 | 2023 | 1 | |
| 2 | 2020 | 7 | |
| 3 | 2010 | 49 | |
| 4 | 2010 | 12 | |
| 5 | 2007 | 37 | |
| 6 | 2007 | 38 | |
| 7 | 2007 | 4 | |
| 8 | 2003 | 67 | |
| 9 | 2001 | 96 | |
| 10 | 1998 | 3 | |
| 11 | 1998 | 91 | |
| 12 | 1996 | 25 | |
| 13 | 1996 | 12 | |
| 14 | 1996 | 67 | |
| 15 | 1995 | 48 | |
| 16 | Phosphorylated CREB binds specifically to the nuclear protein CBPbreakdown → | 1993 | 1752 |
| 17 | 1991 | 63 | |
| 18 | Cyclin a is required for the onset of DNA replication in mammalian fibroblastsbreakdown → | 1991 | 754 |
| 19 | 1990 | 87 | |
| 20 | 1990 | 104 |
About Ned Lamb
Ned Lamb is a scholar working on Cell Biology, Molecular Biology and Oncology, having authored 90 papers that have together received 9.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (18 papers), Cancer-related Molecular Pathways (18 papers), Microtubule and mitosis dynamics (16 papers), RNA Research and Splicing (15 papers), Ubiquitin and proteasome pathways (12 papers), RNA Interference and Gene Delivery (9 papers), Genomics and Chromatin Dynamics (8 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). The work is most often cited by research in Cell Biology (1.8k citations), Molecular Biology (7.5k citations) and Oncology (1.8k citations). Ned Lamb has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Anne Fernandez, Richard H. Goodman, Masatoshi Hagiwara, Marc Montminy, John C. Chrivia, Roland P.S. Kwok, F Girard, Ulrich Strausfeld, Marie Vandromme and Brian A. Hemmings. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, Journal of Biological Chemistry, Molecular and Cellular Biology and Experimental Cell 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.