Souvik Ghatak

746 total citations
40 papers, 536 citations indexed

About

Souvik Ghatak is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Souvik Ghatak has authored 40 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Pathology and Forensic Medicine and 8 papers in Oncology. Recurrent topics in Souvik Ghatak's work include Genetic factors in colorectal cancer (7 papers), Helicobacter pylori-related gastroenterology studies (4 papers) and Mitochondrial Function and Pathology (3 papers). Souvik Ghatak is often cited by papers focused on Genetic factors in colorectal cancer (7 papers), Helicobacter pylori-related gastroenterology studies (4 papers) and Mitochondrial Function and Pathology (3 papers). Souvik Ghatak collaborates with scholars based in India, Sweden and China. Souvik Ghatak's co-authors include Nachimuthu Senthil Kumar, Rajendra Bose Muthukumaran, Jeremy L. Pautu, Guruswami Gurusubramanian, Shakti Ranjan Satapathy, Anita Sjölander, Gnanasekar Sathishkumar, S. Sivaramakrishnan, Geriolda Topi and Surajit De Mandal and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Molecular Sciences and British Journal of Cancer.

In The Last Decade

Souvik Ghatak

39 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Souvik Ghatak India 12 248 81 73 66 65 40 536
Veridiana Munford Brazil 17 311 1.3× 71 0.9× 45 0.6× 107 1.6× 61 0.9× 38 877
Qinghua Hu China 17 318 1.3× 61 0.8× 46 0.6× 127 1.9× 55 0.8× 41 906
Christelle Bahlawane Luxembourg 12 224 0.9× 108 1.3× 176 2.4× 43 0.7× 40 0.6× 16 625
Samira Jahangiri Iran 7 260 1.0× 87 1.1× 34 0.5× 51 0.8× 129 2.0× 10 436
Kimberley D. Gutierrez United States 6 281 1.1× 75 0.9× 81 1.1× 21 0.3× 62 1.0× 6 453
Jingfeng Zhang China 15 499 2.0× 74 0.9× 38 0.5× 195 3.0× 42 0.6× 47 828
Silma Regina Ferreira Pereira Brazil 15 190 0.8× 85 1.0× 55 0.8× 53 0.8× 40 0.6× 57 781
Qian Zheng China 11 195 0.8× 57 0.7× 86 1.2× 61 0.9× 45 0.7× 19 490
Ann Dansercoer Belgium 11 244 1.0× 105 1.3× 99 1.4× 43 0.7× 44 0.7× 15 784
Zhanghua Chen United States 4 210 0.8× 116 1.4× 45 0.6× 52 0.8× 26 0.4× 10 389

Countries citing papers authored by Souvik Ghatak

Since Specialization
Citations

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

Fields of papers citing papers by Souvik Ghatak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Souvik Ghatak

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

All Works

20 of 20 papers shown
1.
Topi, Geriolda, Shakti Ranjan Satapathy, Souvik Ghatak, et al.. (2024). High Oestrogen receptor alpha expression correlates with adverse prognosis and promotes metastasis in colorectal cancer. Cell Communication and Signaling. 22(1). 198–198. 10 indexed citations
2.
Ghatak, Souvik, et al.. (2023). LGR5 Expression Predicting Poor Prognosis Is Negatively Correlated with WNT5A in Colon Cancer. Cells. 12(22). 2658–2658. 3 indexed citations
3.
Satapathy, Shakti Ranjan, Souvik Ghatak, & Anita Sjölander. (2023). The tumor promoter cysteinyl leukotriene receptor 1 regulates PD-L1 expression in colon cancer cells via the Wnt/β-catenin signaling axis. Cell Communication and Signaling. 21(1). 138–138. 9 indexed citations
4.
Ghatak, Souvik, Shakti Ranjan Satapathy, & Anita Sjölander. (2023). DNA Methylation and Gene Expression of the Cysteinyl Leukotriene Receptors as a Prognostic and Metastatic Factor for Colorectal Cancer Patients. International Journal of Molecular Sciences. 24(4). 3409–3409. 2 indexed citations
5.
6.
Ghatak, Souvik, et al.. (2022). Molecular typing of dengue virus in Mizoram, Northeast India. The Journal of Infection in Developing Countries. 16(10). 1637–1642. 2 indexed citations
7.
8.
Ghatak, Souvik, et al.. (2022). Identification of a Novel Five-Gene Signature as a Prognostic and Diagnostic Biomarker in Colorectal Cancers. International Journal of Molecular Sciences. 23(2). 793–793. 10 indexed citations
9.
Dash, Pujarini, Souvik Ghatak, Geriolda Topi, et al.. (2021). High PGD2 receptor 2 levels are associated with poor prognosis in colorectal cancer patients and induce VEGF expression in colon cancer cells and migration in a zebrafish xenograft model. British Journal of Cancer. 126(4). 586–597. 11 indexed citations
10.
11.
Ghatak, Souvik, et al.. (2018). Lifestyle chemical carcinogens associated with mutations in cell cycle regulatory genes increases the susceptibility to gastric cancer risk. Environmental Science and Pollution Research. 25(31). 31691–31704. 3 indexed citations
12.
Ghatak, Souvik, et al.. (2017). Novel APC gene mutations associated with protein alteration in diffuse type gastric cancer. BMC Medical Genetics. 18(1). 61–61. 19 indexed citations
13.
Ghosh, Sudakshina, Biswabandhu Bankura, Arup Kumar Pattanayak, et al.. (2017). Polymorphisms in ADH1B and ALDH2 genes associated with the increased risk of gastric cancer in West Bengal, India. BMC Cancer. 17(1). 782–782. 19 indexed citations
14.
Ghatak, Souvik, et al.. (2016). Influence of shifting cultivation practices on soil–plant–beetle interactions. Environmental Science and Pollution Research. 23(16). 16201–16229. 1 indexed citations
15.
Ghatak, Souvik, et al.. (2015). Mitochondrial complex I and V gene polymorphisms associated with breast cancer in mizo-mongloid population. Breast Cancer. 23(4). 607–616. 9 indexed citations
16.
Sathishkumar, Gnanasekar, et al.. (2015). Synthesis of silver and gold nanoparticles using Jasminum nervosum leaf extract and its larvicidal activity against filarial and arboviral vector Culex quinquefasciatus Say (Diptera: Culicidae). Environmental Science and Pollution Research. 22(22). 17753–17768. 47 indexed citations
17.
Ghatak, Souvik, et al.. (2014). Mitochondrial D-loop and Cytochrome Oxidase C subunit I polymorphisms among the breast cancer patients of Mizoram, Northeast India. Current Genetics. 60(3). 201–212. 18 indexed citations
18.
Ghatak, Souvik, et al.. (2014). Protocol for Optimal Quality and Quantity Pollen DNA Isolation from Honey Samples. Journal of Biomolecular Techniques JBT. 25(4). jbt.14–2504. 22 indexed citations
19.
Ghatak, Souvik, et al.. (2014). Coextraction and PCR Based Analysis of Nucleic Acids From Formalin‐Fixed Paraffin‐Embedded Specimens. Journal of Clinical Laboratory Analysis. 29(6). 485–492. 11 indexed citations
20.
Ghatak, Souvik, et al.. (2014). Polymorphism in mtDNA control region of Mizo-Mongloid Breast Cancer samples as revealed by PCR-RFLP analysis. Mitochondrial DNA Part A. 27(3). 2205–2208. 7 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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