Lee Chaves
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Complement system in diseases
- Mast cells and histamine
- Nephrology top 5%
Papers in
- Immunology 19
- Complement system in diseases 7
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Co-authors
- Kent M. Reed (22 shared papers)Richard J. Quigg (10 shared papers)Jessy J. Alexander (5 shared papers)Todd P. Knutson (7 shared papers)Mark A. Bryniarski (8 shared papers)Rabi Yacoub (8 shared papers)Anthony Chang (6 shared papers)David E. Harry (3 shared papers)
- Journals
- Cytogenetic and Genome Research (7 papers)Animal Genetics (4 papers)Genome (3 papers)PLoS ONE (2 papers)Molecular Diagnosis & Therapy (2 papers)
- Partner nations
- United StatesFranceChina
In The Last Decade
Lee Chaves
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Immunology 392
- Nephrology 95
- Clinical Biochemistry 66
- Animal Science and Zoology 105
- Genetics 196
Countries citing papers authored by Lee Chaves
This map shows the geographic impact of Lee Chaves'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 Lee Chaves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Chaves more than expected).
Fields of papers citing papers by Lee Chaves
This network shows the impact of papers produced by Lee Chaves. 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 Lee Chaves. The network helps show where Lee Chaves may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee Chaves, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 113 | |
| 2 | 2013 | 110 | |
| 3 | 2016 | 99 | |
| 4 | 2009 | 55 | |
| 5 | 2021 | 51 | |
| 6 | 2018 | 43 | |
| 7 | 2016 | 41 | |
| 8 | 2005 | 34 | |
| 9 | 2013 | 34 | |
| 10 | 2007 | 27 | |
| 11 | 2003 | 26 | |
| 12 | 2016 | 25 | |
| 13 | 2018 | 24 | |
| 14 | 2011 | 24 | |
| 15 | 2010 | 24 | |
| 16 | 2020 | 24 | |
| 17 | 2019 | 22 | |
| 18 | 2011 | 22 | |
| 19 | 2007 | 21 | |
| 20 | 2015 | 20 |
About Lee Chaves
Lee Chaves is a scholar working on Immunology, Molecular Biology, Genetics, Animal Science and Zoology and Plant Science, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic diversity and population structure (10 papers), Chromosomal and Genetic Variations (8 papers), Genetic and phenotypic traits in livestock (7 papers), Complement system in diseases (7 papers), T-cell and B-cell Immunology (7 papers), Livestock and Poultry Management (7 papers), Immune Cell Function and Interaction (6 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers). The work is most often cited by research in Immunology (392 citations), Nephrology (95 citations), Clinical Biochemistry (66 citations), Animal Science and Zoology (105 citations) and Genetics (196 citations). Lee Chaves has collaborated with scholars based in United States, France and China. Frequent co-authors include Kent M. Reed, Richard J. Quigg, Jessy J. Alexander, Todd P. Knutson, Mark A. Bryniarski, Rabi Yacoub, Anthony Chang, David E. Harry, Hua Huang and Keitaro Ohmori. Their work appears in journals such as Cytogenetic and Genome Research, Animal Genetics, Genome, PLoS ONE and Molecular Diagnosis & Therapy.
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.