Arivusudar Marimuthu

7.9k total citations
17 papers, 933 citations indexed

About

Arivusudar Marimuthu is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Arivusudar Marimuthu has authored 17 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Spectroscopy and 5 papers in Cancer Research. Recurrent topics in Arivusudar Marimuthu's work include Advanced Proteomics Techniques and Applications (5 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (3 papers). Arivusudar Marimuthu is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (3 papers). Arivusudar Marimuthu collaborates with scholars based in United States, India and Czechia. Arivusudar Marimuthu's co-authors include Akhilesh Pandey, Raghothama Chaerkady, Harsha Gowda, Manoj Kumar Kashyap, Santosh Renuse, Thottethodi Subrahmanya Keshava Prasad, Nandini A. Sahasrabuddhe, Yashwanth Subbannayya, Rekha V. Kumar and Kumaran Kandasamy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Molecular & Cellular Proteomics.

In The Last Decade

Arivusudar Marimuthu

17 papers receiving 925 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arivusudar Marimuthu United States 14 606 190 175 149 120 17 933
Andrew J.K. Williamson United Kingdom 18 660 1.1× 169 0.9× 88 0.5× 132 0.9× 70 0.6× 35 1.0k
Meike de Wit Netherlands 21 666 1.1× 408 2.1× 175 1.0× 295 2.0× 205 1.7× 43 1.2k
Brian C.‐S. Liu United States 20 635 1.0× 194 1.0× 134 0.8× 191 1.3× 174 1.4× 44 1.3k
Alasdair C. Stamps United Kingdom 12 694 1.1× 291 1.5× 109 0.6× 130 0.9× 63 0.5× 16 1.0k
Anjian Xu China 18 547 0.9× 173 0.9× 41 0.2× 167 1.1× 107 0.9× 53 941
Liu-Ya Tang United States 13 758 1.3× 199 1.0× 36 0.2× 125 0.8× 53 0.4× 16 1.2k
Peter Faull United Kingdom 20 664 1.1× 142 0.7× 73 0.4× 56 0.4× 40 0.3× 33 951
Hua‐Chien Chen Taiwan 25 957 1.6× 556 2.9× 74 0.4× 688 4.6× 118 1.0× 44 1.6k
Ruochun Huang United States 16 823 1.4× 237 1.2× 75 0.4× 107 0.7× 43 0.4× 23 1.1k
Ann‐Charlotte Bergman Sweden 11 321 0.5× 85 0.4× 117 0.7× 41 0.3× 97 0.8× 14 676

Countries citing papers authored by Arivusudar Marimuthu

Since Specialization
Citations

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

Fields of papers citing papers by Arivusudar Marimuthu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arivusudar Marimuthu

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

All Works

17 of 17 papers shown
1.
Zhang, Xu, Tapan K. Maity, Manoj Kumar Kashyap, et al.. (2017). Quantitative Tyrosine Phosphoproteomics of Epidermal Growth Factor Receptor (EGFR) Tyrosine Kinase Inhibitor-treated Lung Adenocarcinoma Cells Reveals Potential Novel Biomarkers of Therapeutic Response. Molecular & Cellular Proteomics. 16(5). 891–910. 37 indexed citations
2.
Nanjappa, Vishalakshi, Santosh Renuse, Gajanan Sathe, et al.. (2015). Chronic exposure to chewing tobacco selects for overexpression of stearoyl-CoA desaturase in normal oral keratinocytes. Cancer Biology & Therapy. 16(11). 1593–1603. 28 indexed citations
3.
Balakrishnan, Lavanya, Mitali Bhattacharjee, Sartaj Ahmad, et al.. (2014). Differential proteomic analysis of synovial fluid from rheumatoid arthritis and osteoarthritis patients. Clinical Proteomics. 11(1). 1–1. 140 indexed citations
4.
Kim, Min‐Sik, Yi Zhong, Shinichi Yachida, et al.. (2014). Heterogeneity of Pancreatic Cancer Metastases in a Single Patient Revealed by Quantitative Proteomics. Molecular & Cellular Proteomics. 13(11). 2803–2811. 51 indexed citations
5.
Marimuthu, Arivusudar, Tai‐Chung Huang, Lakshmi Dhevi N. Selvan, et al.. (2014). Identification of targets of miR-200b by a SILAC-based quantitative proteomic approach. SHILAP Revista de lepidopterología. 4. 10–17. 2 indexed citations
6.
Marimuthu, Arivusudar, Sandip Chavan, Gajanan Sathe, et al.. (2013). Identification of head and neck squamous cell carcinoma biomarker candidates through proteomic analysis of cancer cell secretome. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(11). 2308–2316. 51 indexed citations
7.
Telikicherla, Deepthi, Arivusudar Marimuthu, Manoj Kumar Kashyap, et al.. (2012). Overexpression of ribosome binding protein 1 (RRBP1) in breast cancer. Clinical Proteomics. 9(1). 7–7. 25 indexed citations
8.
Pawar, Harsh, Manoj Kumar Kashyap, Nandini A. Sahasrabuddhe, et al.. (2011). Quantitative tissue proteomics of esophageal squamous cell carcinoma for novel biomarker discovery. Cancer Biology & Therapy. 12(6). 510–522. 91 indexed citations
9.
Marimuthu, Arivusudar, Robert N. O’Meally, Raghothama Chaerkady, et al.. (2011). A Comprehensive Map of the Human Urinary Proteome. Journal of Proteome Research. 10(6). 2734–2743. 149 indexed citations
10.
Prasad, Thottethodi Subrahmanya Keshava, Shivakumar Keerthikumar, Raghothama Chaerkady, et al.. (2010). Comparative Proteomic Analysis of Candida albicans and Candida glabrata. Clinical Proteomics. 6(4). 163–173. 3 indexed citations
11.
Kashyap, Manoj Kumar, Arivusudar Marimuthu, Suraj Peri, et al.. (2010). Overexpression of Periostin and Lumican in Esophageal Squamous Cell Carcinoma. Cancers. 2(1). 133–142. 16 indexed citations
12.
Chaerkady, Raghothama, Candace L. Kerr, Kumaran Kandasamy, et al.. (2010). Comparative proteomics of human embryonic stem cells and embryonal carcinoma cells. PROTEOMICS - CLINICAL APPLICATIONS. 4(8-9). 760–760. 4 indexed citations
13.
Chaerkady, Raghothama, Candace L. Kerr, Kumaran Kandasamy, et al.. (2010). Comparative proteomics of human embryonic stem cells and embryonal carcinoma cells. PROTEOMICS. 10(7). 1359–1373. 40 indexed citations
14.
Kashyap, Manoj Kumar, Harsha Gowda, Santosh Renuse, et al.. (2010). SILAC-based quantitative proteomic approach to identify potential biomarkers from the esophageal squamous cell carcinoma secretome. Cancer Biology & Therapy. 10(8). 796–810. 68 indexed citations
15.
Kashyap, Manoj Kumar, Arivusudar Marimuthu, Harrys K.C. Jacob, et al.. (2009). Genomewide mRNA profiling of esophageal squamous cell carcinoma for identification of cancer biomarkers. Cancer Biology & Therapy. 8(1). 36–46. 94 indexed citations
16.
Chaerkady, Raghothama, Candace L. Kerr, Arivusudar Marimuthu, et al.. (2009). Temporal Analysis of Neural Differentiation Using Quantitative Proteomics. Journal of Proteome Research. 8(3). 1315–1326. 46 indexed citations
17.
Guha, Udayan, Raghothama Chaerkady, Arivusudar Marimuthu, et al.. (2008). Comparisons of tyrosine phosphorylated proteins in cells expressing lung cancer-specific alleles ofEGFRandKRAS. Proceedings of the National Academy of Sciences. 105(37). 14112–14117. 88 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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