Robert A. Ach

3.7k total citations · 1 hit paper
16 papers, 2.9k citations indexed

About

Robert A. Ach is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Robert A. Ach has authored 16 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Robert A. Ach's work include RNA Research and Splicing (5 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (3 papers). Robert A. Ach is often cited by papers focused on RNA Research and Splicing (5 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (3 papers). Robert A. Ach collaborates with scholars based in United States, France and United Kingdom. Robert A. Ach's co-authors include Bo Curry, Wilhelm Gruissem, Laurakay Bruhn, Ido Amit, Eric S. Lander, Jennifer K. Grenier, David E. Root, Julie Donaghey, Bryce W. Carey and Anne Bergstrom Lucas and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Robert A. Ach

16 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

lincRNAs act in the circuitry controlling pluripotency and differentiation

2011 1.5k citations Mitchell Guttman, Julie Donaghey et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert A. Ach United States	15	2.5k	1.7k	415	308	140	16	2.9k
J. Mauro Calabrese United States	20	4.2k 1.7×	2.0k 1.2×	259 0.6×	574 1.9×	134 1.0×	35	4.5k
Fan Lai United States	20	3.0k 1.2×	1.8k 1.0×	295 0.7×	234 0.8×	115 0.8×	33	3.7k
Philipp Berninger Switzerland	14	3.7k 1.5×	1.9k 1.1×	453 1.1×	173 0.6×	112 0.8×	20	4.1k
Glen Munson United States	5	3.0k 1.2×	2.1k 1.2×	172 0.4×	330 1.1×	56 0.4×	5	3.4k
Lionel A. Sanz United States	17	2.5k 1.0×	635 0.4×	241 0.6×	543 1.8×	178 1.3×	20	2.7k
Haidi Zhang China	15	1.8k 0.7×	908 0.5×	245 0.6×	159 0.5×	93 0.7×	34	2.3k
York Marahrens United States	19	2.7k 1.1×	743 0.4×	346 0.8×	1.1k 3.7×	185 1.3×	25	3.1k
Lynne V. Mayne United Kingdom	20	2.1k 0.8×	586 0.3×	173 0.4×	414 1.3×	348 2.5×	33	2.3k

Countries citing papers authored by Robert A. Ach

Since Specialization

Citations

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

Fields of papers citing papers by Robert A. Ach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert A. Ach

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

All Works

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16 of 16 papers shown

Powell, Weston T., Rochelle L. Coulson, Robert A. Ach, et al.. (2013). A Prader–Willi locus lncRNA cloud modulates diurnal genes and energy expenditure. Human Molecular Genetics. 22(21). 4318–4328. 118 indexed citations

Powell, Weston T., Rochelle L. Coulson, Michael L. Gonzales, et al.. (2013). R-loop formation at Snord116 mediates topotecan inhibition of Ube3a-antisense and allele-specific chromatin decondensation. Proceedings of the National Academy of Sciences. 110(34). 13938–13943. 126 indexed citations

Steinfeld, Israel, Roy Navon, Robert A. Ach, & Zohar Yakhini. (2012). miRNA target enrichment analysis reveals directly active miRNAs in health and disease. Nucleic Acids Research. 41(3). e45–e45. 44 indexed citations

Guttman, Mitchell, Julie Donaghey, Bryce W. Carey, et al.. (2011). lincRNAs act in the circuitry controlling pluripotency and differentiation. Nature. 477(7364). 295–300. 1542 indexed citations breakdown →

Yamada, N. Alice, Peter Tsang, E. Carr, et al.. (2010). Visualization of Fine-Scale Genomic Structure by Oligonucleotide-Based High-Resolution FISH. Cytogenetic and Genome Research. 132(4). 248–254. 59 indexed citations

Ach, Robert A., Hui Wang, & Bo Curry. (2008). Measuring microRNAs: Comparisons of microarray and quantitative PCR measurements, and of different total RNA prep methods. BMC Biotechnology. 8(1). 69–69. 129 indexed citations

Ach, Robert A., Arno Floore, Bo Curry, et al.. (2007). Robust interlaboratory reproducibility of a gene expression signature measurement consistent with the needs of a new generation of diagnostic tools. BMC Genomics. 8(1). 148–148. 41 indexed citations

Wang, Hui, Robert A. Ach, & Bo Curry. (2006). Direct and sensitive miRNA profiling from low-input total RNA. RNA. 13(1). 151–159. 237 indexed citations

Hedenfalk, Ingrid, Markus Ringnér, Amir Ben‐Dor, et al.. (2003). Molecular classification of familial non- BRCA1/BRCA2 breast cancer. Proceedings of the National Academy of Sciences. 100(5). 2532–2537. 135 indexed citations

10.

Ach, Robert A., Tim Durfee, Ann B. Miller, et al.. (1997). RRB1 and RRB2 Encode Maize Retinoblastoma-Related Proteins That Interact with a Plant D-Type Cyclin and Geminivirus Replication Protein. Molecular and Cellular Biology. 17(9). 5077–5086. 197 indexed citations

11.

Ach, Robert A., Patrícia Taranto, & Wilhelm Gruissem. (1997). A conserved family of WD-40 proteins binds to the retinoblastoma protein in both plants and animals.. The Plant Cell. 9(9). 1595–1606. 119 indexed citations

12.

Ach, Robert A., et al.. (1997). A Conserved Family of WD-40 Proteins Binds to the Retinoblastoma Protein in Both Plants and Animals. The Plant Cell. 9(9). 1595–1595. 10 indexed citations

13.

Ach, Robert A. & Wilhelm Gruissem. (1994). A small nuclear GTP-binding protein from tomato suppresses a Schizosaccharomyces pombe cell-cycle mutant.. Proceedings of the National Academy of Sciences. 91(13). 5863–5867. 72 indexed citations

14.

Ach, Robert A. & Alan M. Weiner. (1991). Cooperation between CCAAT and octamer motifs in the distal sequence element of the rat U3 small nucleolar RNA promoter. Nucleic Acids Research. 19(15). 4209–4218. 24 indexed citations

15.

Ach, Robert A. & Alan M. Weiner. (1987). The Highly Conserved U Small Nuclear RNA 3′-End Formation Signal Is Quite Tolerant to Mutation. Molecular and Cellular Biology. 7(6). 2070–2079. 25 indexed citations

16.

Ach, Robert A. & Alan M. Weiner. (1987). The highly conserved U small nuclear RNA 3'-end formation signal is quite tolerant to mutation.. Molecular and Cellular Biology. 7(6). 2070–2079. 44 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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