John R. Lamb
Impact in
- Genetics top 1%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
Papers in
-
- Bioinformatics and Genomic Networks 12
- Gene expression and cancer classification 4
- Genetics 12
- Genetic Associations and Epidemiology 5
- Genetic Mapping and Diversity in Plants and Animals 4
- Co-authors
- Eric E. Schadt (12 shared papers)Aldons J. Lusis (4 shared papers)Thomas A. Drake (3 shared papers)Stephanie A. Monks (2 shared papers)Mao Mao (5 shared papers)Stephen Friend (2 shared papers)Roland Stoughton (2 shared papers)Thomas G. Ruff (1 shared paper)
- Journals
- The Journal of Immunology (6 papers)Nature Communications (3 papers)PLoS ONE (2 papers)Diabetes (2 papers)Nature (2 papers)
- Partner nations
- United StatesUnited KingdomIceland
In The Last Decade
John R. Lamb
42 papers receiving 4.4k citations
John R. Lamb's Hit Papers
Peers
Comparison fields: 5 of 135
- Genetics 1.3k
- Molecular Biology 2.3k
- Cancer Research 450
- Immunology 618
- Aging 44
Countries citing papers authored by John R. Lamb
This map shows the geographic impact of John R. 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 John R. Lamb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Lamb more than expected).
Fields of papers citing papers by John R. Lamb
This network shows the impact of papers produced by John R. 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 John R. Lamb. The network helps show where John R. Lamb may publish in the future.
Co-authors
The 25 scholars most cited alongside John R. 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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetics of gene expression surveyed in maize, mouse and man Hit paper breakdown → | 2003 | 1106 |
| 2 | An integrative genomics approach to infer causal associations between gene expression and disease Hit paper breakdown → | 2005 | 741 |
| 3 | 2005 | 209 | |
| 4 | 2014 | 183 | |
| 5 | 2005 | 181 | |
| 6 | 2005 | 167 | |
| 7 | 2010 | 165 | |
| 8 | 2004 | 148 | |
| 9 | 2009 | 147 | |
| 10 | 2014 | 141 | |
| 11 | 2022 | 126 | |
| 12 | 1990 | 114 | |
| 13 | 2009 | 107 | |
| 14 | 2009 | 101 | |
| 15 | 1991 | 99 | |
| 16 | 2020 | 71 | |
| 17 | 2018 | 71 | |
| 18 | 2006 | 66 | |
| 19 | 2012 | 65 | |
| 20 | 1994 | 56 |
About John R. Lamb
John R. Lamb is a scholar working on Molecular Biology, Genetics, Immunology, Physiology and Cancer Research, having authored 42 papers that have together received 4.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (12 papers), Genetic Associations and Epidemiology (5 papers), Adipose Tissue and Metabolism (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Gene expression and cancer classification (4 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Genetics (1.3k citations), Molecular Biology (2.3k citations), Cancer Research (450 citations), Immunology (618 citations) and Aging (44 citations). John R. Lamb has collaborated with scholars based in United States, United Kingdom and Iceland. Frequent co-authors include Eric E. Schadt, Aldons J. Lusis, Thomas A. Drake, Stephanie A. Monks, Mao Mao, Stephen Friend, Roland Stoughton, Thomas G. Ruff, Jun Zhu and Nam Che. Their work appears in journals such as The Journal of Immunology, Nature Communications, PLoS ONE, Diabetes 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.