Daniel A. Chaves

2.3k total citations
9 papers, 1.6k citations indexed

About

Daniel A. Chaves is a scholar working on Molecular Biology, Aging and Plant Science. According to data from OpenAlex, Daniel A. Chaves has authored 9 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Aging and 4 papers in Plant Science. Recurrent topics in Daniel A. Chaves's work include CRISPR and Genetic Engineering (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and RNA Research and Splicing (4 papers). Daniel A. Chaves is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and RNA Research and Splicing (4 papers). Daniel A. Chaves collaborates with scholars based in United States, Portugal and Japan. Daniel A. Chaves's co-authors include Craig C. Mello, Weifeng Gu, Darryl Conte, Pedro J. Batista, Julie M. Claycomb, Masaki Shirayama, Shohei Mitani, James C. Carrington, Noah Fahlgren and Kristin D. Kasschau and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Molecular Cell.

In The Last Decade

Daniel A. Chaves

9 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel A. Chaves United States	7	1.4k	700	569	189	111	9	1.6k
Meetu Seth United States	10	933 0.7×	513 0.7×	323 0.6×	64 0.3×	140 1.3×	12	1.1k
Julia Pak United States	9	807 0.6×	253 0.4×	265 0.5×	115 0.6×	57 0.5×	9	946
Scott W. Knight United States	7	840 0.6×	105 0.1×	170 0.3×	341 1.8×	66 0.6×	7	1000
Amanda J. Wright United States	11	617 0.4×	132 0.2×	429 0.8×	28 0.1×	59 0.5×	11	820
Maria C. Ow United States	14	766 0.5×	332 0.5×	73 0.1×	279 1.5×	318 2.9×	21	1.0k
Dave Hansen Canada	19	800 0.6×	730 1.0×	84 0.1×	47 0.2×	109 1.0×	30	1.1k
Germano Cecere France	14	441 0.3×	145 0.2×	153 0.3×	55 0.3×	34 0.3×	22	528
Marie E. Sutherlin United States	11	421 0.3×	211 0.3×	112 0.2×	39 0.2×	152 1.4×	12	759
James W. Lightfoot Germany	16	396 0.3×	309 0.4×	188 0.3×	25 0.1×	153 1.4×	25	740
Pauline Cottee Australia	12	368 0.3×	108 0.2×	88 0.2×	222 1.2×	35 0.3×	15	636

Countries citing papers authored by Daniel A. Chaves

Since Specialization

Citations

This map shows the geographic impact of Daniel A. 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 Daniel A. Chaves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Chaves more than expected).

Fields of papers citing papers by Daniel A. Chaves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. 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 Daniel A. Chaves. The network helps show where Daniel A. Chaves may publish in the future.

Co-authorship network of co-authors of Daniel A. Chaves

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Chaves. A scholar is included among the top collaborators of Daniel A. 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 Daniel A. Chaves. Daniel A. Chaves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Chaves, Daniel A., Hui Dai, Lichao Li, et al.. (2020). The RNA phosphatase PIR-1 regulates endogenous small RNA pathways in C. elegans. Molecular Cell. 81(3). 546–557.e5. 18 indexed citations

Chaves, Daniel A., et al.. (2019). Diamonds and Daisies: Floristics and Conservation of Asteraceae in One of Brazil’s Major Centers of Endemism. Tropical Conservation Science. 12. 1 indexed citations

Chaves, Daniel A., et al.. (2019). Geographic space, relief, and soils predict plant community patterns of Asteraceae in rupestrian grasslands, Brazil. Biotropica. 51(2). 155–164. 4 indexed citations

Tsai, Hsin‐Yue, Darryl Conte, James J. Moresco, et al.. (2015). A Ribonuclease Coordinates siRNA Amplification and mRNA Cleavage during RNAi. Cell. 160(3). 407–419. 64 indexed citations

Gu, Weifeng, Heng-Chi Lee, Daniel A. Chaves, et al.. (2012). CapSeq and CIP-TAP Identify Pol II Start Sites and Reveal Capped Small RNAs as C. elegans piRNA Precursors. Cell. 151(7). 1488–1500. 169 indexed citations

Conine, Colin C., Pedro J. Batista, Weifeng Gu, et al.. (2010). Argonautes ALG-3 and ALG-4 are required for spermatogenesis-specific 26G-RNAs and thermotolerant sperm in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 107(8). 3588–3593. 176 indexed citations

Claycomb, Julie M., Pedro J. Batista, Ka Ming Pang, et al.. (2009). The Argonaute CSR-1 and Its 22G-RNA Cofactors Are Required for Holocentric Chromosome Segregation. Cell. 139(1). 123–134. 339 indexed citations

Gu, Weifeng, Masaki Shirayama, Darryl Conte, et al.. (2009). Distinct Argonaute-Mediated 22G-RNA Pathways Direct Genome Surveillance in the C. elegans Germline. Molecular Cell. 36(2). 231–244. 384 indexed citations

Batista, Pedro J., J. Graham Ruby, Julie M. Claycomb, et al.. (2008). PRG-1 and 21U-RNAs Interact to Form the piRNA Complex Required for Fertility in C. elegans. Molecular Cell. 31(1). 67–78. 441 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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