David Luckey
- Biological Psychiatry top 2%
- Gastroenterology top 2%
- Infectious Diseases top 5%
- Clostridium difficile and Clostridium perfringens research 6
- Immunology top 10%
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 9
- Molecular Biology top 5%
- Gut microbiota and health 14
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- Multiple Sclerosis Research Studies 4
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- Digestive system and related health 3
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- Systemic Lupus Erythematosus Research 3
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Veena TanejaEric MariettaJoseph A. MurrayAshutosh K. MangalamAndrés GómezPatricio JeraldoMoses RodriguezJun Chen
- Journals
- Clinical Immunology (4 papers)The Journal of Immunology (4 papers)Scientific Reports (3 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
David Luckey
29 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Biological Psychiatry 213
- Gastroenterology 264
- Infectious Diseases 414
- Immunology 407
- Molecular Biology 1.3k
Countries citing papers authored by David Luckey
This map shows the geographic impact of David Luckey'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 David Luckey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Luckey more than expected).
Fields of papers citing papers by David Luckey
This network shows the impact of papers produced by David Luckey. 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 David Luckey. The network helps show where David Luckey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Luckey, 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 | 2024 | 6 | |
| 2 | 2023 | 13 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 81 | |
| 5 | 2019 | 24 | |
| 6 | 2017 | 199 | |
| 7 | 2017 | 10 | |
| 8 | 2016 | 22 | |
| 9 | Multiple sclerosis patients have a distinct gut microbiota compared to healthy controlsbreakdown → | 2016 | 700 |
| 10 | 2016 | 195 | |
| 11 | 2015 | 125 | |
| 12 | 2015 | 9 | |
| 13 | 2014 | 53 | |
| 14 | 2013 | 98 | |
| 15 | 2012 | 20 | |
| 16 | 2012 | 189 | |
| 17 | 2012 | 37 | |
| 18 | 2011 | 24 | |
| 19 | 2011 | 36 | |
| 20 | 2009 | 31 |
About David Luckey
David Luckey is a scholar working on Immunology, Rheumatology, Gastroenterology, Dermatology and Infectious Diseases, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gut microbiota and health (14 papers), T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (9 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Multiple Sclerosis Research Studies (4 papers), Digestive system and related health (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Biological Psychiatry (213 citations), Gastroenterology (264 citations), Infectious Diseases (414 citations), Immunology (407 citations) and Molecular Biology (1.3k citations). David Luckey has collaborated with scholars based in United States, India and China. Frequent co-authors include Veena Taneja, Eric Marietta, Joseph A. Murray, Ashutosh K. Mangalam, Andrés Gómez, Patricio Jeraldo, Moses Rodriguez, Jun Chen, Martina Novotná and Nicholas Chia. Their work appears in journals such as Clinical Immunology, The Journal of Immunology, Scientific Reports, Journal of Autoimmunity and PLoS ONE.
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.