J. Ross Buchan

6.8k total citations · 2 hit papers
20 papers, 3.1k citations indexed

About

J. Ross Buchan is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, J. Ross Buchan has authored 20 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Cell Biology. Recurrent topics in J. Ross Buchan's work include RNA Research and Splicing (13 papers), RNA modifications and cancer (11 papers) and RNA and protein synthesis mechanisms (10 papers). J. Ross Buchan is often cited by papers focused on RNA Research and Splicing (13 papers), RNA modifications and cancer (11 papers) and RNA and protein synthesis mechanisms (10 papers). J. Ross Buchan collaborates with scholars based in United States, United Kingdom and Sweden. J. Ross Buchan's co-authors include Roy Parker, J. Paul Taylor, Denise Muhlrad, Je‐Hyun Yoon, Ian Stansfield, Tracy Nissan, Guangbo Liu, Fen Pei, Daniela C. Zarnescu and Alyssa N. Coyne and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

J. Ross Buchan

20 papers receiving 3.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Eukaryotic Stress Granules: The Ins and Outs of Translation

2009 1.1k citations J. Ross Buchan, Roy Parker Molecular Cell profile →
Eukaryotic Stress Granules Are Cleared by Autophagy and Cdc48/VCP Function

2013 580 citations J. Ross Buchan, J. Paul Taylor et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Ross Buchan United States	14	2.7k	462	429	267	219	20	3.1k
Saumya Jain United States	11	3.4k 1.3×	435 0.9×	220 0.5×	111 0.4×	115 0.5×	19	3.7k
Joshua Wheeler United States	13	2.6k 1.0×	353 0.8×	272 0.6×	77 0.3×	168 0.8×	26	2.9k
Peiguo Yang China	18	1.8k 0.7×	537 1.2×	291 0.7×	748 2.8×	196 0.9×	28	2.6k
Timothy I. Shaw United States	19	1.2k 0.5×	227 0.5×	404 0.9×	237 0.9×	213 1.0×	58	2.0k
Ignasi Forné Germany	30	2.2k 0.8×	162 0.4×	256 0.6×	173 0.6×	172 0.8×	101	3.0k
Mário Henrique Bengtson Brazil	14	1.4k 0.5×	298 0.6×	125 0.3×	256 1.0×	72 0.3×	23	1.7k
Jacob C. Schwartz United States	20	2.5k 0.9×	134 0.3×	410 1.0×	237 0.9×	245 1.1×	33	3.1k
Anderson Kanagaraj United States	9	2.5k 0.9×	254 0.5×	612 1.4×	53 0.2×	363 1.7×	9	2.9k
Joh‐E Ikeda Japan	28	1.1k 0.4×	260 0.6×	412 1.0×	105 0.4×	259 1.2×	53	2.0k
Florian A. Salomons Sweden	25	2.0k 0.7×	641 1.4×	166 0.4×	571 2.1×	46 0.2×	41	2.4k

Countries citing papers authored by J. Ross Buchan

Since Specialization

Citations

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

Fields of papers citing papers by J. Ross Buchan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Ross Buchan. 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 J. Ross Buchan. The network helps show where J. Ross Buchan may publish in the future.

Co-authorship network of co-authors of J. Ross Buchan

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

All Works

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20 of 20 papers shown

Buchan, J. Ross. (2024). Stress granules and P-bodies – New ideas and experimental models worth exploring. Seminars in Cell and Developmental Biology. 158. 1–2. 1 indexed citations

Buchan, J. Ross. (2024). Stress granule and P-body clearance: Seeking coherence in acts of disappearance. Seminars in Cell and Developmental Biology. 159-160. 10–26. 18 indexed citations

Buchan, J. Ross, et al.. (2022). HARLEY mitigates user bias and facilitates efficient quantification and co-localization analyses of foci in yeast fluorescence images. Scientific Reports. 12(1). 12238–12238. 1 indexed citations

Buchan, J. Ross, et al.. (2021). RNAs as Regulators of Cellular Matchmaking. Frontiers in Molecular Biosciences. 8. 634146–634146. 12 indexed citations

Padi, Sathish K.R., Neha Singh, Marina Cardó‐Vila, et al.. (2021). EDC3 phosphorylation regulates growth and invasion through controlling P‐body formation and dynamics. EMBO Reports. 22(4). e50835–e50835. 29 indexed citations

Buchan, J. Ross, et al.. (2020). RPS28B mRNA acts as a scaffold promoting cis-translational interaction of proteins driving P-body assembly. Nucleic Acids Research. 48(11). 6265–6279. 19 indexed citations

Luo, Xiangxia, et al.. (2019). Alterations of signaling pathways in response to chemical perturbations used to measure mRNA decay rates in yeast. RNA. 26(1). 10–18. 8 indexed citations

Liu, Guangbo, et al.. (2019). Cdc48/VCP and Endocytosis Regulate TDP-43 and FUS Toxicity and Turnover. Molecular and Cellular Biology. 40(4). 25 indexed citations

Buchan, J. Ross, et al.. (2018). Stress Granules and ALS: A Case of Causation or Correlation?. Advances in neurobiology. 20. 173–212. 35 indexed citations

10.

Liu, Guangbo, Alyssa N. Coyne, Fen Pei, et al.. (2017). Endocytosis regulates TDP-43 toxicity and turnover. Nature Communications. 8(1). 2092–2092. 71 indexed citations

11.

Liu, Guangbo, et al.. (2017). High-throughput transformation of Saccharomyces cerevisiae using liquid handling robots. PLoS ONE. 12(3). e0174128–e0174128. 11 indexed citations

12.

Liu, Guangbo, et al.. (2016). Defects in THO/TREX-2 function cause accumulation of novel cytoplasmic mRNP granules that can be cleared by autophagy. RNA. 22(8). 1200–1214. 6 indexed citations

13.

Buchan, J. Ross. (2014). mRNP granules. RNA Biology. 11(8). 1019–1030. 353 indexed citations

14.

Buchan, J. Ross, et al.. (2013). Eukaryotic Stress Granules Are Cleared by Autophagy and Cdc48/VCP Function. Cell. 153(7). 1461–1474. 580 indexed citations breakdown →

15.

Buchan, J. Ross, Tracy Nissan, & Roy Parker. (2010). Analyzing P-Bodies and Stress Granules in Saccharomyces cerevisiae. Methods in enzymology on CD-ROM/Methods in enzymology. 470. 619–640. 58 indexed citations

16.

Buchan, J. Ross, Je‐Hyun Yoon, & Roy Parker. (2010). Stress-specific composition, assembly and kinetics of stress granules in Saccharomyces cerevisiae. Journal of Cell Science. 124(2). 228–239. 203 indexed citations

17.

Buchan, J. Ross & Roy Parker. (2009). Eukaryotic Stress Granules: The Ins and Outs of Translation. Molecular Cell. 36(6). 932–941. 1123 indexed citations breakdown →

18.

Buchan, J. Ross, Denise Muhlrad, & Roy Parker. (2008). P bodies promote stress granule assembly in Saccharomyces cerevisiae . The Journal of Cell Biology. 183(3). 441–455. 407 indexed citations

19.

Buchan, J. Ross & Ian Stansfield. (2007). Halting a cellular production line: responses to ribosomal pausing during translation. Biology of the Cell. 99(9). 475–487. 97 indexed citations

20.

Buchan, J. Ross. (2006). tRNA properties help shape codon pair preferences in open reading frames. Nucleic Acids Research. 34(3). 1015–1027. 84 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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