Ravi Tharakan

735 total citations
18 papers, 361 citations indexed

About

Ravi Tharakan is a scholar working on Molecular Biology, Spectroscopy and Rheumatology. According to data from OpenAlex, Ravi Tharakan has authored 18 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Rheumatology. Recurrent topics in Ravi Tharakan's work include RNA modifications and cancer (6 papers), Advanced Proteomics Techniques and Applications (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Ravi Tharakan is often cited by papers focused on RNA modifications and cancer (6 papers), Advanced Proteomics Techniques and Applications (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Ravi Tharakan collaborates with scholars based in United States, Austria and Belarus. Ravi Tharakan's co-authors include Myriam Gorospe, Ceereena Ubaida‐Mohien, Luigi Ferrucci, David R. Graham, Ruin Moaddel, Richard D. Semba, Marta González‐Freire, Ranjan Sen, Chee W. Chia and Alexey E. Lyashkov and has published in prestigious journals such as Nature Communications, Molecular and Cellular Biology and The Journals of Gerontology Series A.

In The Last Decade

Ravi Tharakan

15 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ravi Tharakan United States	10	267	112	64	50	26	18	361
Magdalena Bakun Poland	9	151 0.6×	36 0.3×	72 1.1×	26 0.5×	11 0.4×	17	285
Allen K. Kim United States	5	246 0.9×	39 0.3×	68 1.1×	51 1.0×	16 0.6×	7	294
Maria Bust Germany	6	235 0.9×	59 0.5×	10 0.2×	24 0.5×	23 0.9×	7	296
Asuka Ota United States	8	224 0.8×	38 0.3×	14 0.2×	61 1.2×	12 0.5×	9	321
Guoshou Teo Singapore	9	283 1.1×	47 0.4×	96 1.5×	53 1.1×	3 0.1×	9	402
Songjie Chen United States	8	210 0.8×	34 0.3×	18 0.3×	39 0.8×	7 0.3×	12	393
Hye Ryung Jung Denmark	7	586 2.2×	34 0.3×	123 1.9×	16 0.3×	14 0.5×	13	680
Chen Qiu China	9	217 0.8×	29 0.3×	23 0.4×	20 0.4×	8 0.3×	19	311
Cuiying Chitty Chen Belgium	7	311 1.2×	57 0.5×	38 0.6×	31 0.6×	26 1.0×	9	425
Rebecca K. Donegan United States	11	272 1.0×	62 0.6×	13 0.2×	95 1.9×	4 0.2×	13	392

Countries citing papers authored by Ravi Tharakan

Since Specialization

Citations

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

Fields of papers citing papers by Ravi Tharakan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Tharakan

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

All Works

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18 of 18 papers shown

Dranchak, Patricia, Mahesh Aitha, Ravi Tharakan, et al.. (2025). A general assay platform to study protein pharmacology using ligand-dependent structural dynamics. Nature Communications. 16(1). 4342–4342.

Tharakan, Ravi, Ceereena Ubaida‐Mohien, Christopher Dunn, et al.. (2023). Whole‐genome methylation analysis of aging human tissues identifies age‐related changes in developmental and neurological pathways. Aging Cell. 22(7). e13847–e13847. 4 indexed citations

Rana, Sandeep, Patricia Dranchak, Jayme L. Dahlin, et al.. (2023). Methotrexate-based PROTACs as DHFR-specific chemical probes. Cell chemical biology. 31(2). 221–233.e14. 10 indexed citations

Ubaida‐Mohien, Ceereena, Ruin Moaddel, Pei‐Lun Kuo, et al.. (2022). Understanding the Human Aging Proteome Using Epidemiological Models. Methods in molecular biology. 2399. 173–192.

Ubaida‐Mohien, Ceereena, Ruin Moaddel, Ann Zenobia Moore, et al.. (2021). Proteomics and Epidemiological Models of Human Aging. Frontiers in Physiology. 12. 674013–674013. 14 indexed citations

Tharakan, Ravi & Akira Sawa. (2021). Minireview: Novel Micropeptide Discovery by Proteomics and Deep Sequencing Methods. Frontiers in Genetics. 12. 651485–651485. 18 indexed citations

Tharakan, Ravi, Ceereena Ubaida‐Mohien, Yulan Piao, Myriam Gorospe, & Luigi Ferrucci. (2021). Ribosome profiling analysis of human skeletal muscle identifies reduced translation of mitochondrial proteins with age. RNA Biology. 18(11). 1555–1559. 12 indexed citations

Tharakan, Ravi, Ceereena Ubaida‐Mohien, Ann Zenobia Moore, et al.. (2020). Blood DNA Methylation and Aging: A Cross-Sectional Analysis and Longitudinal Validation in the InCHIANTI Study. The Journals of Gerontology Series A. 75(11). 2051–2055. 15 indexed citations

Anerillas, Carlos, et al.. (2020). Translational Control during Cellular Senescence. Molecular and Cellular Biology. 41(2). 39 indexed citations

10.

Tharakan, Ravi, Simion Kreimer, Ceereena Ubaida‐Mohien, et al.. (2019). A methodology for discovering novel brain-relevant peptides: Combination of ribosome profiling and peptidomics. Neuroscience Research. 151. 31–37. 9 indexed citations

11.

Ubaida‐Mohien, Ceereena, Alexey E. Lyashkov, Marta González‐Freire, et al.. (2019). Discovery proteomics in aging human skeletal muscle finds change in spliceosome, immunity, proteostasis and mitochondria. eLife. 8. 153 indexed citations

12.

Ubaida‐Mohien, Ceereena, Alexey E. Lyashkov, Marta González‐Freire, et al.. (2019). Analysis of the Skeletal Muscle Proteome Uncovers Alteration in Splicing, Mitochondria, and Immune Factors with Aging. SSRN Electronic Journal.

13.

Tharakan, Ravi, Toshiko Tanaka, Dena Hernández, & Luigi Ferrucci. (2018). LONGITUDINAL ANALYSIS OF DNA METHYLATION IN THE INCHIANTI AGING STUDY. Innovation in Aging. 2(suppl_1). 101–101. 1 indexed citations

14.

Ubaida‐Mohien, Ceereena, Benjamin G. Lamberty, Alex M. Dickens, et al.. (2017). Modifications in acute phase and complement systems predict shifts in cognitive status of HIV-infected patients. AIDS. 31(10). 1365–1378. 9 indexed citations

15.

Tharakan, Ravi, Dingyin Tao, Ceereena Ubaida‐Mohien, Rhoel R. Dinglasan, & David R. Graham. (2015). Integrated Microfluidic Chip and Online SCX Separation Allows Untargeted Nanoscale Metabolomic and Peptidomic Profiling. Journal of Proteome Research. 14(3). 1621–1626. 7 indexed citations

16.

Hartler, Jürgen, Ravi Tharakan, Harald Köfeler, David R. Graham, & Gerhard Thallinger. (2012). Bioinformatics tools and challenges in structural analysis of lipidomics MS/MS data. Briefings in Bioinformatics. 14(3). 375–390. 26 indexed citations

17.

Tharakan, Ravi, Nathan Edwards, & David R. Graham. (2010). Data maximization by multipass analysis of protein mass spectra. PROTEOMICS. 10(6). 1160–1171. 34 indexed citations

18.

Tharakan, Ravi, Lennart Martens, Jennifer E. Van Eyk, & David R. Graham. (2008). OMSSAGUI: An open‐source user interface component to configure and run the OMSSA search engine. PROTEOMICS. 8(12). 2376–2378. 10 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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