Lee Chaves

1.5k total citations
59 papers, 1.1k citations indexed

About

Lee Chaves is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Lee Chaves has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 20 papers in Immunology and 14 papers in Genetics. Recurrent topics in Lee Chaves's work include Genetic diversity and population structure (10 papers), Chromosomal and Genetic Variations (8 papers) and Complement system in diseases (7 papers). Lee Chaves is often cited by papers focused on Genetic diversity and population structure (10 papers), Chromosomal and Genetic Variations (8 papers) and Complement system in diseases (7 papers). Lee Chaves collaborates with scholars based in United States, France and China. Lee Chaves's co-authors include Kent M. Reed, Richard J. Quigg, Jessy J. Alexander, Todd P. Knutson, Rabi Yacoub, Mark A. Bryniarski, Anthony Chang, David E. Harry, Keitaro Ohmori and Xiaopeng Qi and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Lee Chaves

58 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lee Chaves United States 20 409 401 227 164 120 59 1.1k
José Rivera Spain 16 202 0.5× 911 2.3× 159 0.7× 112 0.7× 109 0.9× 35 1.5k
Kiyoshi Yasui Japan 15 300 0.7× 620 1.5× 128 0.6× 142 0.9× 66 0.6× 40 1.6k
Audrey Esclatine France 22 355 0.9× 675 1.7× 179 0.8× 84 0.5× 62 0.5× 33 2.0k
Debbie Watson Australia 24 633 1.5× 993 2.5× 378 1.7× 37 0.2× 104 0.9× 84 2.1k
Ruth Ann Veach United States 17 563 1.4× 853 2.1× 157 0.7× 78 0.5× 94 0.8× 35 1.7k
Chong-Shan Shi United States 19 660 1.6× 1.2k 2.9× 66 0.3× 76 0.5× 51 0.4× 23 2.2k
Keisuke Tabata Japan 18 203 0.5× 750 1.9× 44 0.2× 231 1.4× 90 0.8× 30 2.2k
Stephen F. Sells United States 20 199 0.5× 1.3k 3.2× 99 0.4× 180 1.1× 40 0.3× 39 1.9k
Ting Xin China 18 190 0.5× 590 1.5× 65 0.3× 126 0.8× 21 0.2× 44 1.3k

Countries citing papers authored by Lee Chaves

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lee Chaves

This figure shows the co-authorship network connecting the top 25 collaborators of Lee Chaves. A scholar is included among the top collaborators of Lee Chaves based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lee Chaves. Lee Chaves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zanotto, Tobia, Sharon Lynch, Jianghua He, et al.. (2024). Multimodal exercise training to reduce frailty in people with multiple sclerosis: study protocol for a pilot randomized controlled trial. Pilot and Feasibility Studies. 10(1). 65–65. 1 indexed citations
3.
Campbell, Christine, et al.. (2024). Nuclear Factor I A and Nuclear Factor I B Are Jointly Required for Mouse Postnatal Neural Stem Cell Self-Renewal. Stem Cells and Development. 33(7-8). 153–167. 2 indexed citations
4.
Lim, Jaims, Ammad A. Baig, Lee Chaves, et al.. (2024). 388 The First Endovascular Rat Glioma Model for Pre-clinical Evaluation of Intra-arterial Therapeutics. Neurosurgery. 70(Supplement_1). 117–118. 1 indexed citations
5.
Tutino, Vincent M., Tatsat R. Patel, André Monteiro, et al.. (2021). Isolation of RNA from Acute Ischemic Stroke Clots Retrieved by Mechanical Thrombectomy. Genes. 12(10). 1617–1617. 10 indexed citations
6.
Tutino, Vincent M., Hamidreza Rajabzadeh-Oghaz, Lee Chaves, et al.. (2021). RNA Sequencing Data from Human Intracranial Aneurysm Tissue Reveals a Complex Inflammatory Environment Associated with Rupture. Molecular Diagnosis & Therapy. 25(6). 775–790. 8 indexed citations
7.
Inigo, Joseph R., Dhyan Chandra, Lee Chaves, et al.. (2021). Mitochondrial Dynamics in SARS-COV2 Spike Protein Treated Human Microglia: Implications for Neuro-COVID. Journal of Neuroimmune Pharmacology. 16(4). 770–784. 47 indexed citations
8.
Poppenberg, Kerry E., Vincent M. Tutino, Li Lü, et al.. (2020). Classification models using circulating neutrophil transcripts can detect unruptured intracranial aneurysm. Journal of Translational Medicine. 18(1). 392–392. 17 indexed citations
9.
Yacoub, Rabi, Girish N. Nadkarni, Daniel McSkimming, et al.. (2018). Fecal microbiota analysis of polycystic kidney disease patients according to renal function: A pilot study. Experimental Biology and Medicine. 244(6). 505–513. 16 indexed citations
10.
Martin, Myriam, Jonatan Leffler, Jennifer Mytych, et al.. (2016). Factor H uptake regulates intracellular C3 activation during apoptosis and decreases the inflammatory potential of nucleosomes. Cell Death and Differentiation. 23(5). 903–911. 99 indexed citations
11.
Chaves, Lee, Lihua Bao, Ying Wang, et al.. (2014). Loss of CD11b Exacerbates Murine Complement-Mediated Tubulointerstitial Nephritis. PLoS ONE. 9(3). e92051–e92051. 9 indexed citations
12.
Chaves, Lee, et al.. (2013). Contrasting Effects of Systemic Monocyte/Macrophage and CD4+T Cell Depletion in a Reversible Ureteral Obstruction Mouse Model of Chronic Kidney Disease. SHILAP Revista de lepidopterología. 2013. 1–7. 10 indexed citations
13.
Qi, Xiaopeng, Jun Nishida, Lee Chaves, Keitaro Ohmori, & Hua Huang. (2011). CCAAT/Enhancer-binding Protein α (C/EBPα) Is Critical for Interleukin-4 Expression in Response to FcϵRI Receptor Cross-linking. Journal of Biological Chemistry. 286(18). 16063–16073. 22 indexed citations
14.
Chaves, Lee, et al.. (2010). A locus-wide approach to assessing variation in the avian MHC: the B-locus of the wild turkey. Heredity. 107(1). 40–49. 7 indexed citations
15.
Reed, Kent M., et al.. (2008). Association and in Silico Assignment of Sequences from Turkey BACs. Animal Biotechnology. 19(2). 80–83. 3 indexed citations
16.
Reed, Kent M. & Lee Chaves. (2008). Simple Sequence Repeats for Genetic Studies of Alpaca. Animal Biotechnology. 19(4). 243–309. 5 indexed citations
17.
Reed, Kent M., et al.. (2007). An integrated and comparative genetic map of the turkey genome. Cytogenetic and Genome Research. 119(1-2). 113–126. 21 indexed citations
18.
Chaves, Lee, et al.. (2007). Characterization of the turkey MHC chromosome through genetic and physical mapping. Cytogenetic and Genome Research. 117(1-4). 213–220. 27 indexed citations
19.
Chaves, Lee, et al.. (2005). Survey of a cDNA library from the turkey (Meleagris gallopavo). Genome. 48(1). 12–17. 16 indexed citations
20.
Knutson, Todd P., et al.. (2004). One hundred fifty-four genetic markers for the turkey (Meleagris gallopavo). Genome. 47(6). 1015–1028. 11 indexed citations

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.

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