Andrew E. Lamb
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
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- Cancer Genomics and Diagnostics 2
-
- Microbial metabolism and enzyme function 4
- RNA modifications and cancer 3
- DNA Repair Mechanisms 2
- Co-authors
- Marina Kalyuzhnaya (4 shared papers)David A. C. Beck (3 shared papers)Mary E. Lidstrom (2 shared papers)Nicole E. Smalley (1 shared paper)Song Yang (1 shared paper)Justin D. Clubb (1 shared paper)Stéphane Vuilleumier (1 shared paper)Françoise Bringel (1 shared paper)
- Journals
- Nature Communications (3 papers)Cancer Research (1 paper)Cell (1 paper)Journal of Clinical Investigation (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Andrew E. Lamb
17 papers receiving 2.2k citations
Andrew E. Lamb's Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 543
- Oncology 577
- Environmental Chemistry 226
- Molecular Biology 1.1k
- Cancer Research 210
Countries citing papers authored by Andrew E. Lamb
This map shows the geographic impact of Andrew E. 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 Andrew E. Lamb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew E. Lamb more than expected).
Fields of papers citing papers by Andrew E. Lamb
This network shows the impact of papers produced by Andrew E. 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 Andrew E. Lamb. The network helps show where Andrew E. Lamb may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew E. 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 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 449 |
| 2 | Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction Hit paper breakdown → | 2020 | 403 |
| 3 | 2013 | 372 | |
| 4 | 2018 | 274 | |
| 5 | 2018 | 200 | |
| 6 | 2014 | 126 | |
| 7 | 2021 | 98 | |
| 8 | 2021 | 59 | |
| 9 | 2015 | 53 | |
| 10 | 2020 | 47 | |
| 11 | 2017 | 43 | |
| 12 | 2019 | 25 | |
| 13 | 2021 | 24 | |
| 14 | 2019 | 17 | |
| 15 | 2024 | 16 | |
| 16 | 2018 | 15 | |
| 17 | 2015 | 12 |
About Andrew E. Lamb
Andrew E. Lamb is a scholar working on Cancer Research, Molecular Biology, Environmental Chemistry, Immunology and Oncology, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Microbial metabolism and enzyme function (4 papers), Methane Hydrates and Related Phenomena (3 papers), RNA modifications and cancer (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Immunotherapy and Immune Responses (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Immunology (543 citations), Oncology (577 citations), Environmental Chemistry (226 citations), Molecular Biology (1.1k citations) and Cancer Research (210 citations). Andrew E. Lamb has collaborated with scholars based in United States, France and China. Frequent co-authors include Marina Kalyuzhnaya, David A. C. Beck, Mary E. Lidstrom, Nicole E. Smalley, Song Yang, Justin D. Clubb, Stéphane Vuilleumier, Françoise Bringel, G. A. Nagana Gowda and Yanfen Fu. Their work appears in journals such as Nature Communications, Cancer Research, Cell, Journal of Clinical Investigation and PLoS Genetics.
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.