Ian Lamb
Impact in
- Plant Science top 10%
- Genetically Modified Organisms Research
-
- Clostridium difficile and Clostridium perfringens research
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- Genetically Modified Organisms Research 7
- Pesticide Exposure and Toxicity 3
-
- Rabbits: Nutrition, Reproduction, Health 2
- Co-authors
- Bryan Delaney (6 shared papers)Raymond J. Layton (6 shared papers)Peter P. Mullany (1 shared paper)Brendan W. Wren (1 shared paper)Christopher L. Clayton (1 shared paper)Soad Tabaqchali (1 shared paper)M. Hinds (5 shared papers)Tracy Rood (4 shared papers)
- Journals
- Poultry Science (3 papers)Food and Chemical Toxicology (2 papers)Animal Science (1 paper)Annals of the New York Academy of Sciences (1 paper)Theriogenology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Ian Lamb
13 papers receiving 336 citations
Peers
Comparison fields: 5 of 34
- Plant Science 213
- Infectious Diseases 64
- Molecular Medicine 19
- Animal Science and Zoology 26
- Aging 2
Countries citing papers authored by Ian Lamb
This map shows the geographic impact of Ian 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 Ian Lamb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Lamb more than expected).
Fields of papers citing papers by Ian Lamb
This network shows the impact of papers produced by Ian 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 Ian Lamb. The network helps show where Ian Lamb may publish in the future.
Co-authors
The 20 scholars most cited alongside Ian 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 | 1990 | 103 | |
| 2 | 2006 | 74 | |
| 3 | 2007 | 60 | |
| 4 | 2008 | 33 | |
| 5 | 2006 | 30 | |
| 6 | 2007 | 20 | |
| 7 | 2008 | 15 | |
| 8 | 1986 | 10 | |
| 9 | 2009 | 8 | |
| 10 | 1988 | 6 | |
| 11 | Acetochlor soil metabolites Summary of toxicology studies | 1999 | 1 |
| 12 | 2001 | 1 | |
| 13 | 2002 | 1 |
About Ian Lamb
Ian Lamb is a scholar working on Plant Science, Animal Science and Zoology, Immunology and Allergy, Molecular Medicine and Pollution, having authored 13 papers that have together received 362 indexed citations. Recurring topics across this work include Genetically Modified Organisms Research (7 papers), Pesticide Exposure and Toxicity (3 papers), Rabbits: Nutrition, Reproduction, Health (2 papers), Clostridium difficile and Clostridium perfringens research (1 paper), Carcinogens and Genotoxicity Assessment (1 paper), Bacterial Genetics and Biotechnology (1 paper), Food Allergy and Anaphylaxis Research (1 paper) and Antibiotic Resistance in Bacteria (1 paper). The work is most often cited by research in Plant Science (213 citations), Infectious Diseases (64 citations), Molecular Medicine (19 citations), Animal Science and Zoology (26 citations) and Aging (2 citations). Ian Lamb has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Bryan Delaney, Raymond J. Layton, Peter P. Mullany, Brendan W. Wren, Christopher L. Clayton, Soad Tabaqchali, M. Hinds, Tracy Rood, Joel L. Mattsson and B. Smith. Their work appears in journals such as Poultry Science, Food and Chemical Toxicology, Animal Science, Annals of the New York Academy of Sciences and Theriogenology.
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.