Kakoli Das

2.9k total citations
26 papers, 676 citations indexed

About

Kakoli Das is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Kakoli Das has authored 26 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 7 papers in Oncology. Recurrent topics in Kakoli Das's work include Gastric Cancer Management and Outcomes (6 papers), Fibroblast Growth Factor Research (3 papers) and Genetic factors in colorectal cancer (3 papers). Kakoli Das is often cited by papers focused on Gastric Cancer Management and Outcomes (6 papers), Fibroblast Growth Factor Research (3 papers) and Genetic factors in colorectal cancer (3 papers). Kakoli Das collaborates with scholars based in Singapore, United States and Portugal. Kakoli Das's co-authors include Patrick Tan, Niantao Deng, Manuel Salto‐Tellez, Emmanuel Beillard, Kalpana Ramnarayanan, Sun Young Rha, Chia-Huey Ooi, P. Mathijs Voorhoeve, Nallasivam Palanisamy and Julian Lee and has published in prestigious journals such as Oncogene, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Kakoli Das

25 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kakoli Das Singapore 16 416 251 193 170 96 26 676
Shinichi Umeda Japan 16 356 0.9× 136 0.5× 186 1.0× 191 1.1× 122 1.3× 58 624
Osamu Shinto Japan 15 388 0.9× 174 0.7× 326 1.7× 130 0.8× 104 1.1× 24 661
Tzu‐Ju Chen Taiwan 14 342 0.8× 194 0.8× 163 0.8× 130 0.8× 98 1.0× 51 591
Junko Matsuoka Japan 11 377 0.9× 230 0.9× 371 1.9× 120 0.7× 84 0.9× 25 692
Takeshi Niinuma Japan 17 617 1.5× 388 1.5× 120 0.6× 132 0.8× 143 1.5× 39 872
Carlos Mackintosh Spain 15 456 1.1× 159 0.6× 200 1.0× 303 1.8× 38 0.4× 20 765
Princy Francis United States 12 352 0.8× 236 0.9× 180 0.9× 228 1.3× 34 0.4× 16 627
Biancastella Cereser United Kingdom 10 266 0.6× 216 0.9× 275 1.4× 63 0.4× 68 0.7× 16 583
Charny Park South Korea 11 193 0.5× 128 0.5× 207 1.1× 135 0.8× 91 0.9× 23 459
Jan‐Patrik Wiksten Finland 10 390 0.9× 154 0.6× 213 1.1× 101 0.6× 86 0.9× 10 646

Countries citing papers authored by Kakoli Das

Since Specialization
Citations

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

Fields of papers citing papers by Kakoli Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kakoli Das

This figure shows the co-authorship network connecting the top 25 collaborators of Kakoli Das. A scholar is included among the top collaborators of Kakoli Das 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 Kakoli Das. Kakoli Das 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.
Das, Kakoli, et al.. (2026). Integrated and Comprehensive Diagnostics: An Emerging Paradigm in Precision Oncology. Cancers. 18(2). 327–327.
2.
Das, Kakoli, et al.. (2025). A targeted next-generation sequencing panel for identification of clinically relevant mutation profiles in solid tumours. Scientific Reports. 15(1). 20740–20740. 1 indexed citations
3.
Srivastava, Supriya, Kie Kyon Huang, Khadija Rebbani, et al.. (2020). An LCM-based genomic analysis of SPEM, Gastric Cancer and Pyloric Gland Adenoma in an Asian cohort. Modern Pathology. 33(10). 2075–2086. 11 indexed citations
4.
Gullo, Irene, Patrícia Oliveira, Maria Athelogou, et al.. (2018). New insights into the inflamed tumor immune microenvironment of gastric cancer with lymphoid stroma: from morphology and digital analysis to gene expression. Gastric Cancer. 22(1). 77–90. 48 indexed citations
5.
Lau, Wen Min, Eileen Teng, Kie Kyon Huang, et al.. (2017). Acquired Resistance to FGFR Inhibitor in Diffuse-Type Gastric Cancer through an AKT-Independent PKC-Mediated Phosphorylation of GSK3β. Molecular Cancer Therapeutics. 17(1). 232–242. 43 indexed citations
6.
Das, Kakoli, Masataka Taguri, Hiroshi Imamura, et al.. (2017). Genomic predictors of chemotherapy efficacy in advanced or recurrent gastric cancer in the GC0301/TOP002 phase III clinical trial. Cancer Letters. 412. 208–215. 9 indexed citations
7.
Das, Kakoli, David Epstein, Kyoung‐Mee Kim, et al.. (2016). NanoString expression profiling identifies candidate biomarkers of RAD001 response in metastatic gastric cancer. ESMO Open. 1(1). e000009–e000009. 15 indexed citations
8.
Das, Kakoli, et al.. (2014). Mutually exclusive FGFR2, HER2, and KRAS gene amplifications in gastric cancer revealed by multicolour FISH. Cancer Letters. 353(2). 167–175. 46 indexed citations
9.
10.
Das, Kakoli, Chia-Huey Ooi, Niantao Deng, et al.. (2011). Genomic Loss of miR-486 Regulates Tumor Progression and the OLFM4 Antiapoptotic Factor in Gastric Cancer. Clinical Cancer Research. 17(9). 2657–2667. 172 indexed citations
11.
Das, Kakoli, Diana Lim, Liang Shen, et al.. (2010). Differential expression of steroid 5α-reductase isozymes and association with disease severity and angiogenic genes predict their biological role in prostate cancer. Endocrine Related Cancer. 17(3). 757–770. 27 indexed citations
12.
Das, Kakoli, Liang Shen, Diana Lim, et al.. (2010). Aurora-A expression, hormone receptor status and clinical outcome in hormone related cancers. Pathology. 42(6). 540–546. 15 indexed citations
13.
Nga, Min En, Liang Shen, Michelle M. Lilly, et al.. (2009). PIM‐1 kinase expression in adipocytic neoplasms: diagnostic and biological implications. International Journal of Experimental Pathology. 91(1). 34–43. 22 indexed citations
14.
Das, Kakoli, David Tai Leong, Anurag Gupta, et al.. (2009). Positive association between nuclear Runx2 and oestrogen-progesterone receptor gene expression characterises a biological subtype of breast cancer. European Journal of Cancer. 45(13). 2239–2248. 43 indexed citations
15.
Yan, Benedict, Kakoli Das, Wai Hoe Ng, et al.. (2008). Characterization of Numb expression in astrocytomas. Neuropathology. 28(5). 479–484. 32 indexed citations
16.
17.
Ng, Siok‐Bian, Victor Kwan Min Lee, Kakoli Das, & Manuel Salto‐Tellez. (2008). The relevance of molecular diagnostics in the practice of surgical pathology. Expert Opinion on Medical Diagnostics. 2(12). 1401–1414. 2 indexed citations
18.
Das, Kakoli, Mohd Feroz Mohd Omar, Chee Wee Ong, et al.. (2008). TRARESA: a tissue microarray-based hospital system for biomarker validation and discovery. Pathology. 40(5). 441–449. 19 indexed citations
19.
Das, Kakoli, Yi Zhao, Marto Sugiono, et al.. (2007). Differential expression of vascular endothelial growth factor165b in transitional cell carcinoma of the bladder. Urologic Oncology Seminars and Original Investigations. 25(4). 317–321. 12 indexed citations
20.
Das, Kakoli, et al.. (2005). Chromosomal changes in prostate cancer: A fluorescence in situ hybridization study. Clinical Genetics. 68(1). 40–47. 19 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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