Ralph E. Kleiner

2.5k total citations
38 papers, 1.9k citations indexed

About

Ralph E. Kleiner is a scholar working on Molecular Biology, Cancer Research and Organic Chemistry. According to data from OpenAlex, Ralph E. Kleiner has authored 38 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Organic Chemistry. Recurrent topics in Ralph E. Kleiner's work include RNA modifications and cancer (22 papers), RNA and protein synthesis mechanisms (17 papers) and RNA Research and Splicing (16 papers). Ralph E. Kleiner is often cited by papers focused on RNA modifications and cancer (22 papers), RNA and protein synthesis mechanisms (17 papers) and RNA Research and Splicing (16 papers). Ralph E. Kleiner collaborates with scholars based in United States, Singapore and South Korea. Ralph E. Kleiner's co-authors include David R. Liu, A. Emilia Arguello, Christoph E. Dumelin, Kyung Won Seo, Michael E. Birnbaum, Yevgeny Brudno, Tarun M. Kapoor, Kelly R. Molloy, Brian T. Chait and Markus A. Seeliger and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Ralph E. Kleiner

37 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ralph E. Kleiner United States	21	1.6k	387	249	176	148	38	1.9k
Michael Ohlmeyer United States	22	1.6k 1.0×	261 0.7×	140 0.6×	181 1.0×	58 0.4×	51	1.9k
Cleo M. Salisbury United States	15	864 0.5×	291 0.8×	91 0.4×	208 1.2×	68 0.5×	18	1.1k
Yun Ge China	20	927 0.6×	453 1.2×	69 0.3×	174 1.0×	108 0.7×	52	1.5k
Katharine A. White United States	14	679 0.4×	267 0.7×	160 0.6×	172 1.0×	162 1.1×	25	1.0k
Wei Lin China	23	925 0.6×	232 0.6×	132 0.5×	75 0.4×	106 0.7×	69	1.5k
Masaaki Sawa Japan	19	1.1k 0.7×	706 1.8×	110 0.4×	206 1.2×	91 0.6×	71	1.6k
Andreas Kremer Netherlands	20	1.1k 0.7×	407 1.1×	130 0.5×	48 0.3×	126 0.9×	44	1.8k
Rob Ruijtenbeek Netherlands	21	854 0.5×	215 0.6×	90 0.4×	206 1.2×	78 0.5×	64	1.2k
Laurie L. Parker United States	20	731 0.4×	145 0.4×	77 0.3×	170 1.0×	124 0.8×	56	1.3k

Countries citing papers authored by Ralph E. Kleiner

Since Specialization

Citations

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

Fields of papers citing papers by Ralph E. Kleiner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralph E. Kleiner. 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 Ralph E. Kleiner. The network helps show where Ralph E. Kleiner may publish in the future.

Co-authorship network of co-authors of Ralph E. Kleiner

This figure shows the co-authorship network connecting the top 25 collaborators of Ralph E. Kleiner. A scholar is included among the top collaborators of Ralph E. Kleiner 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 Ralph E. Kleiner. Ralph E. Kleiner 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

Nakano, Yuko, Howard Gamper, Jiatong Li, et al.. (2025). Genome-wide profiling of tRNA modifications by Induro-tRNAseq reveals coordinated changes. Nature Communications. 16(1). 1047–1047. 2 indexed citations

Schwartz, Robert E., et al.. (2024). The impact of epitranscriptomic modifications on liver disease. Trends in Endocrinology and Metabolism. 35(4). 331–346. 6 indexed citations

Wang, Danyang, et al.. (2023). Inhibition of nucleolar transcription by oxaliplatin involves ATM/ATR kinase signaling. Cell chemical biology. 30(8). 906–919.e4. 10 indexed citations

Seath, Ciaran P., Antony J. Burton, Gihoon Lee, et al.. (2023). Tracking chromatin state changes using nanoscale photo-proximity labelling. Nature. 616(7957). 574–580. 53 indexed citations

Kleiner, Ralph E., et al.. (2023). Profiling dynamic RNA–protein interactions using small-molecule-induced RNA editing. Nature Chemical Biology. 19(11). 1361–1371. 17 indexed citations

Kleiner, Ralph E.. (2021). Interrogating the transcriptome with metabolically incorporated ribonucleosides. Molecular Omics. 17(6). 833–841. 7 indexed citations

Kan, Lijuan, Stanislav Ott, Brian Joseph, et al.. (2021). Publisher Correction: A neural m6A/Ythdf pathway is required for learning and memory in Drosophila. Nature Communications. 12(1). 1743–1743. 3 indexed citations

Kan, Lijuan, Stanislav Ott, Brian Joseph, et al.. (2021). A neural m6A/Ythdf pathway is required for learning and memory in Drosophila. Nature Communications. 12(1). 1458–1458. 58 indexed citations

Dai, Wei, Ang Li, Thao Nguyen, et al.. (2021). Activity-based RNA-modifying enzyme probing reveals DUS3L-mediated dihydrouridylation. Nature Chemical Biology. 17(11). 1178–1187. 40 indexed citations

10.

Kleiner, Ralph E., et al.. (2019). High-throughput approaches to profile RNA-protein interactions. Current Opinion in Chemical Biology. 54. 37–44. 31 indexed citations

11.

Arguello, A. Emilia, et al.. (2017). RNA Chemical Proteomics Reveals the N⁶-Methyladenosine (m⁶A)-Regulated Protein–RNA Interactome. Journal of the American Chemical Society. 139(48). 17249–17252. 217 indexed citations

12.

Kleiner, Ralph E., Lisa Hang, Kelly R. Molloy, Brian T. Chait, & Tarun M. Kapoor. (2017). A Chemical Proteomics Approach to Reveal Direct Protein-Protein Interactions in Living Cells. Cell chemical biology. 25(1). 110–120.e3. 56 indexed citations

13.

Georghiou, George P., Ralph E. Kleiner, Kip E. Guja, et al.. (2016). Structural and Biochemical Basis for Intracellular Kinase Inhibition by Src-specific Peptidic Macrocycles. Cell chemical biology. 23(9). 1103–1112. 14 indexed citations

14.

Ti, Shih-Chieh, Melissa C. Pamula, Stuart C. Howes, et al.. (2016). Mutations in Human Tubulin Proximal to the Kinesin-Binding Site Alter Dynamic Instability at Microtubule Plus- and Minus-Ends. Developmental Cell. 37(1). 72–84. 81 indexed citations

15.

Kleiner, Ralph E., Priyanka Verma, Kelly R. Molloy, Brian T. Chait, & Tarun M. Kapoor. (2015). Chemical proteomics reveals a γH2AX-53BP1 interaction in the DNA damage response. Nature Chemical Biology. 11(10). 807–814. 85 indexed citations

16.

Maianti, Juan Pablo, Zachariah H. Foda, Ralph E. Kleiner, et al.. (2014). Anti-diabetic activity of insulin-degrading enzyme inhibitors mediated by multiple hormones. Nature. 511(7507). 94–98. 184 indexed citations

17.

Kleiner, Ralph E., Christoph E. Dumelin, & David R. Liu. (2011). Small-molecule discovery from DNA-encoded chemical libraries. Chemical Society Reviews. 40(12). 5707–5707. 197 indexed citations

18.

Kleiner, Ralph E., Christoph E. Dumelin, Gerald C. Tiu, Kaori Sakurai, & David R. Liu. (2010). In Vitro Selection of a DNA-Templated Small-Molecule Library Reveals a Class of Macrocyclic Kinase Inhibitors. Journal of the American Chemical Society. 132(33). 11779–11791. 133 indexed citations

19.

Brudno, Yevgeny, Michael E. Birnbaum, Ralph E. Kleiner, & David R. Liu. (2009). An in vitro translation, selection and amplification system for peptide nucleic acids. Nature Chemical Biology. 6(2). 148–155. 73 indexed citations

20.

Bradley, Luke H., et al.. (2005). An intein-based genetic selection allows the construction of a high-quality library of binary patterned de novo protein sequences. Protein Engineering Design and Selection. 18(4). 201–207. 22 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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