Ramprasath Venkatachalam

738 total citations
7 papers, 379 citations indexed

About

Ramprasath Venkatachalam is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Ramprasath Venkatachalam has authored 7 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Genetics. Recurrent topics in Ramprasath Venkatachalam's work include Genetic factors in colorectal cancer (4 papers), Epigenetics and DNA Methylation (2 papers) and Cancer Genomics and Diagnostics (2 papers). Ramprasath Venkatachalam is often cited by papers focused on Genetic factors in colorectal cancer (4 papers), Epigenetics and DNA Methylation (2 papers) and Cancer Genomics and Diagnostics (2 papers). Ramprasath Venkatachalam collaborates with scholars based in Netherlands, Germany and United Kingdom. Ramprasath Venkatachalam's co-authors include Ad Geurts van Kessel, Roland P. Kuiper, Vincent H. J. van der Velden, A. Veerman, Frank N. van Leeuwen, Blanca Scheijen, Peter M. Hoogerbrugge, Jacques J. M. van Dongen, Esmé Waanders and Edwin Sonneveld and has published in prestigious journals such as International Journal of Cancer, Leukemia and Cytogenetic and Genome Research.

In The Last Decade

Ramprasath Venkatachalam

7 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramprasath Venkatachalam Netherlands 6 178 146 145 111 58 7 379
Rachael A. Papa Australia 9 192 1.1× 228 1.6× 117 0.8× 44 0.4× 27 0.5× 12 431
Shotaro Iwamoto Japan 6 175 1.0× 130 0.9× 153 1.1× 83 0.7× 11 0.2× 8 364
Ashish Masurekar United Kingdom 6 215 1.2× 83 0.6× 144 1.0× 101 0.9× 17 0.3× 9 358
Juliana Godoy Assumpção Brazil 10 70 0.4× 175 1.2× 62 0.4× 44 0.4× 11 0.2× 19 304
CS Chen United States 7 343 1.9× 265 1.8× 398 2.7× 80 0.7× 37 0.6× 12 587
Ya‐Zhen Qin China 11 63 0.4× 171 1.2× 187 1.3× 11 0.1× 18 0.3× 51 340
Teresa Sadras Australia 10 66 0.4× 150 1.0× 107 0.7× 15 0.1× 19 0.3× 22 301
N Katano Japan 9 75 0.4× 83 0.6× 88 0.6× 16 0.1× 50 0.9× 19 238
Meike Fischer Germany 9 85 0.5× 167 1.1× 137 0.9× 17 0.2× 10 0.2× 11 307
George Corpus Canada 7 73 0.4× 174 1.2× 129 0.9× 8 0.1× 23 0.4× 8 337

Countries citing papers authored by Ramprasath Venkatachalam

Since Specialization
Citations

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

Fields of papers citing papers by Ramprasath Venkatachalam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramprasath Venkatachalam

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

All Works

7 of 7 papers shown
1.
Venkatachalam, Ramprasath, Marjolijn J. L. Ligtenberg, Nicoline Hoogerbrugge, et al.. (2010). The epigenetics of (hereditary) colorectal cancer. Cancer Genetics and Cytogenetics. 203(1). 1–6. 29 indexed citations
2.
Venkatachalam, Ramprasath, et al.. (2010). A cold-adapted esterase of a novel marine isolate, Pseudoalteromonas arctica: gene cloning, enzyme purification and characterization. Extremophiles. 14(3). 273–285. 59 indexed citations
3.
Venkatachalam, Ramprasath, Eugène T.P. Verwiel, Eveline J. Kamping, et al.. (2010). Identification of candidate predisposing copy number variants in familial and early‐onset colorectal cancer patients. International Journal of Cancer. 129(7). 1635–1642. 61 indexed citations
4.
Kuiper, Roland P., Esmé Waanders, Vincent H. J. van der Velden, et al.. (2010). IKZF1 deletions predict relapse in uniformly treated pediatric precursor B-ALL. Leukemia. 24(7). 1258–1264. 196 indexed citations
5.
Venkatachalam, Ramprasath, Marjolijn J. L. Ligtenberg, Nicoline Hoogerbrugge, et al.. (2010). Germline epimutation of the tumor suppressor gene PTPRJ in early onset familial colorectal cancer. Cancer Genetics and Cytogenetics. 203(1). 59–59. 1 indexed citations
6.
Kuiper, Roland P., Lilian Vreede, Ramprasath Venkatachalam, et al.. (2009). The tumor suppressor gene FBXW7 is disrupted by a constitutional t(3;4)(q21;q31) in a patient with renal cell cancer. Cancer Genetics and Cytogenetics. 195(2). 105–111. 22 indexed citations
7.
Venkatachalam, Ramprasath, Marjolijn J. L. Ligtenberg, Nicoline Hoogerbrugge, Ad Geurts van Kessel, & Roland P. Kuiper. (2008). Predisposition to colorectal cancer: exploiting copy number variation to identify novel predisposing genes and mechanisms. Cytogenetic and Genome Research. 123(1-4). 188–194. 11 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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