Marshall Thomas

2.1k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Marshall Thomas is a scholar working on Molecular Biology, Genetics and Aging. According to data from OpenAlex, Marshall Thomas has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Aging. Recurrent topics in Marshall Thomas's work include RNA Research and Splicing (4 papers), CRISPR and Genetic Engineering (3 papers) and RNA regulation and disease (3 papers). Marshall Thomas is often cited by papers focused on RNA Research and Splicing (4 papers), CRISPR and Genetic Engineering (3 papers) and RNA regulation and disease (3 papers). Marshall Thomas collaborates with scholars based in United States, Sweden and South Korea. Marshall Thomas's co-authors include Judy Lieberman, Ashish Lal, Nancy Kedersha, Tyler Hickman, Shawn M. Lyons, Gerald M. McInerney, Marc D. Panas, Pavel Ivanov, Paul Anderson and Sarah Tisdale and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Marshall Thomas

7 papers receiving 1.4k 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.

G3BP–Caprin1–USP10 complexes mediate stress granule condensation and associate with 40S subunits

2016 460 citations Nancy Kedersha, Marc D. Panas et al. The Journal of Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marshall Thomas United States	7	1.2k	397	105	97	84	7	1.4k
Thomas M. Carlile United States	12	1.4k 1.2×	388 1.0×	103 1.0×	162 1.7×	40 0.5×	14	1.6k
Sarah Tisdale United States	13	1.8k 1.5×	234 0.6×	35 0.3×	176 1.8×	129 1.5×	18	2.0k
Takeshi Haraguchi Japan	15	882 0.7×	501 1.3×	68 0.6×	86 0.9×	191 2.3×	31	1.3k
Derrick Gibbings Canada	17	941 0.8×	406 1.0×	73 0.7×	115 1.2×	160 1.9×	23	1.4k
Anthony K. Henras France	23	2.2k 1.8×	175 0.4×	84 0.8×	77 0.8×	65 0.8×	48	2.3k
Demián Cazalla United States	14	1.3k 1.1×	675 1.7×	74 0.7×	23 0.2×	151 1.8×	21	1.6k
Chiu-Jung Huang Taiwan	15	459 0.4×	220 0.6×	45 0.4×	112 1.2×	95 1.1×	36	733
Charlotte Berkes United States	10	1.4k 1.1×	161 0.4×	140 1.3×	127 1.3×	74 0.9×	18	1.6k
Nicolas Cougot France	11	2.1k 1.7×	797 2.0×	25 0.2×	67 0.7×	91 1.1×	11	2.3k
P. Cramer Argentina	9	1.5k 1.3×	174 0.4×	41 0.4×	91 0.9×	91 1.1×	9	1.8k

Countries citing papers authored by Marshall Thomas

Since Specialization

Citations

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

Fields of papers citing papers by Marshall Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marshall Thomas. 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 Marshall Thomas. The network helps show where Marshall Thomas may publish in the future.

Co-authorship network of co-authors of Marshall Thomas

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

All Works

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7 of 7 papers shown

1.

Kedersha, Nancy, Marc D. Panas, Shawn M. Lyons, et al.. (2016). G3BP–Caprin1–USP10 complexes mediate stress granule condensation and associate with 40S subunits. The Journal of Cell Biology. 212(7). 460 indexed citations breakdown →

2.

Thomas, Marshall, Xing Liu, Jennifer Whangbo, et al.. (2015). Apoptosis Triggers Specific, Rapid, and Global mRNA Decay with 3′ Uridylated Intermediates Degraded by DIS3L2. Cell Reports. 11(7). 1079–1089. 116 indexed citations

3.

Walch, Michael, et al.. (2012). Alterations in RNA processing during immune-mediated programmed cell death. Proceedings of the National Academy of Sciences. 109(22). 8688–8693. 29 indexed citations

4.

Correa-Cerro, Lina S., Yulan Piao, Alexei A. Sharov, et al.. (2011). Generation of mouse ES cell lines engineered for the forced induction of transcription factors. Scientific Reports. 1(1). 167–167. 38 indexed citations

5.

Sharov, Alexei A., Akira Nishiyama, Yulan Piao, et al.. (2011). Responsiveness of genes to manipulation of transcription factors in ES cells is associated with histone modifications and tissue specificity. BMC Genomics. 12(1). 102–102. 9 indexed citations

6.

Thomas, Marshall, Judy Lieberman, & Ashish Lal. (2010). Desperately seeking microRNA targets. Nature Structural & Molecular Biology. 17(10). 1169–1174. 407 indexed citations

7.

Zalzman, Michal, Geppino Falco, Lioudmila V. Sharova, et al.. (2010). Zscan4 regulates telomere elongation and genomic stability in ES cells. Nature. 464(7290). 858–863. 336 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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