Christopher Lumb
Impact in
- Insect Science top 2%
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
- Insect symbiosis and bacterial influences
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- Neurobiology and Insect Physiology Research
Papers in
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- Insect and Pesticide Research 3
- Insect-Plant Interactions and Control 3
- Insect Utilization and Effects 2
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- Insect Resistance and Genetics 5
- Viral Infectious Diseases and Gene Expression in Insects 1
- Co-authors
- Phillip J. Daborn (6 shared papers)Philip Batterham (5 shared papers)Richard H. ffrench‐Constant (1 shared paper)Adrian Boey (1 shared paper)Shivani Pasricha (2 shared papers)Jean-Philippe Parvy (1 shared paper)Chantal Dauphin‐Villemant (1 shared paper)René Lafont (1 shared paper)
- Journals
- Insect Biochemistry and Molecular Biology (3 papers)Molecular Genetics and Metabolism (2 papers)Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)Developmental Biology (1 paper)
- Partner nations
- AustraliaUnited KingdomSwitzerland
In The Last Decade
Christopher Lumb
9 papers receiving 644 citations
Peers
Comparison fields: 5 of 59
- Insect Science 329
- Cellular and Molecular Neuroscience 125
- Molecular Biology 350
- Rheumatology 56
- Aging 7
Countries citing papers authored by Christopher Lumb
This map shows the geographic impact of Christopher Lumb'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 Christopher Lumb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Lumb more than expected).
Fields of papers citing papers by Christopher Lumb
This network shows the impact of papers produced by Christopher Lumb. 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 Christopher Lumb. The network helps show where Christopher Lumb may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Lumb, 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 | 2007 | 194 | |
| 2 | 2010 | 189 | |
| 3 | 2012 | 78 | |
| 4 | 2013 | 66 | |
| 5 | 2014 | 36 | |
| 6 | 2014 | 25 | |
| 7 | 1999 | 23 | |
| 8 | 1997 | 22 | |
| 9 | 1998 | 21 |
About Christopher Lumb
Christopher Lumb is a scholar working on Insect Science, Molecular Biology, Rheumatology, Cellular and Molecular Neuroscience and Surgery, having authored 9 papers that have together received 654 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (5 papers), Folate and B Vitamins Research (3 papers), Insect and Pesticide Research (3 papers), Insect-Plant Interactions and Control (3 papers), Insect Utilization and Effects (2 papers), Neurobiology and Insect Physiology Research (2 papers), Esophageal and GI Pathology (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Insect Science (329 citations), Cellular and Molecular Neuroscience (125 citations), Molecular Biology (350 citations), Rheumatology (56 citations) and Aging (7 citations). Christopher Lumb has collaborated with scholars based in Australia, United Kingdom and Switzerland. Frequent co-authors include Phillip J. Daborn, Philip Batterham, Richard H. ffrench‐Constant, Adrian Boey, Shivani Pasricha, Jean-Philippe Parvy, Chantal Dauphin‐Villemant, René Lafont, Emily J. Remnant and Robert T. Good. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Molecular Genetics and Metabolism, Proceedings of the National Academy of Sciences, PLoS ONE and Developmental Biology.
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.