Benjamin P. Tu

86 papers receiving 9.4k citations

Hit Papers

The U6 snRNA m 6 A Methyltransferase METTL16 Regulates SAM Synthetase Intron Retention 2017 · 843 citations
8432004202620112018250500750

Peers

Benjamin P. Tu
Comparison fields: 5 of 151
  • Aging 296
  • Cancer Research 1.8k
  • Molecular Biology 7.2k
  • Cell Biology 1.3k
  • Biochemistry 476
Replace Nicola Zamboni with:
Nicola Zamboni Switzerland
João A. Paulo United States
Michael C. Bassik United States
James Douglas Engel United States
Yasemin Sancak United States
Birgit Schilling United States
Christian M. Metallo United States
Carson C. Thoreen United States
Hélène Pelicano United States
Judit Villén United States
Benjamin P. Tu relative to Nicola Zamboni Switzerland Nicola Zamboni's profile →
Citations per field
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Nicola Zamboni · 1×
Citations per year

Countries citing papers authored by Benjamin P. Tu

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin P. Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin P. Tu. 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 Benjamin P. Tu. The network helps show where Benjamin P. Tu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Benjamin P. Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin P. Tu Line = papers co-authored together Benjamin P. Tu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202514
4 20242
5 20246
6 20235
7 202255
8 202121
9 202131
10 20217
11 202044
12 202018
13 201912
14 201954
15 201538
16
Acetate Dependence of Tumors
Hit paper breakdown →
2014539
17 2013106
18 201010
19 201021
20
Logic of the Yeast Metabolic Cycle: Temporal Compartmentalization of Cellular Processes
Hit paper breakdown →
2005697

About Benjamin P. Tu

Benjamin P. Tu is a scholar working on Geriatrics and Gerontology, Aging, Molecular Biology, Cancer Research and Biochemistry, having authored 89 papers that have together received 9.5k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (20 papers), RNA modifications and cancer (16 papers), Mitochondrial Function and Pathology (10 papers), Epigenetics and DNA Methylation (10 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), RNA and protein synthesis mechanisms (9 papers), Polyamine Metabolism and Applications (9 papers) and RNA Research and Splicing (9 papers). The work is most often cited by research in Aging (296 citations), Cancer Research (1.8k citations), Molecular Biology (7.2k citations), Cell Biology (1.3k citations) and Biochemistry (476 citations). Benjamin P. Tu has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Jonathan S. Weissman, Lei Shi, Steven L. McKnight, Benjamin M. Sutter, Ling Cai, Andrzej Kudlicki, Maga Rowicka, Kuanqing Liu, Bing Li and Sunil Laxman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell, Cell Reports, Cell and Nature Communications.

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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