Asha Das

2.5k total citations
54 papers, 1.6k citations indexed

About

Asha Das is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Asha Das has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Oncology and 8 papers in Genetics. Recurrent topics in Asha Das's work include Glioma Diagnosis and Treatment (7 papers), Cell Adhesion Molecules Research (6 papers) and Virus-based gene therapy research (5 papers). Asha Das is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Cell Adhesion Molecules Research (6 papers) and Virus-based gene therapy research (5 papers). Asha Das collaborates with scholars based in United States, Singapore and Netherlands. Asha Das's co-authors include Keith L. Black, Gentao Liu, John S. Yu, Christopher J. Wheeler, Duncan R. Smith, Madhu S. Nair, Timo L.M. ten Hagen, Indranil Gupta, Jennifer Gek Choo Teo and Powers Peterson and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Hepatology.

In The Last Decade

Asha Das

51 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Asha Das 511 395 369 324 233 54 1.6k
Noah F. Greenwald 788 1.5× 465 1.2× 282 0.8× 222 0.7× 251 1.1× 29 1.9k
Friedrich Feuerhake 433 0.8× 395 1.0× 389 1.1× 215 0.7× 84 0.4× 89 1.6k
Corrado D’Arrigo 752 1.5× 800 2.0× 152 0.4× 224 0.7× 184 0.8× 54 1.9k
Gregory K. Friedman 815 1.6× 804 2.0× 450 1.2× 316 1.0× 371 1.6× 99 2.0k
Irena Radovanovic 391 0.8× 211 0.5× 163 0.4× 350 1.1× 110 0.5× 16 1.1k
Adnan Mansoor 729 1.4× 894 2.3× 418 1.1× 553 1.7× 133 0.6× 90 2.3k
Douglas S. Harrington 210 0.4× 694 1.8× 159 0.4× 243 0.8× 119 0.5× 37 1.4k
Andreas Rosenwald 727 1.4× 492 1.2× 212 0.6× 483 1.5× 161 0.7× 69 1.9k
Aibin Liang 689 1.3× 498 1.3× 247 0.7× 202 0.6× 79 0.3× 117 1.5k
Douglas J. Demetrick 1.3k 2.5× 1.0k 2.5× 160 0.4× 170 0.5× 149 0.6× 66 2.3k

Countries citing papers authored by Asha Das

Since Specialization
Citations

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

Fields of papers citing papers by Asha Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asha Das

This figure shows the co-authorship network connecting the top 25 collaborators of Asha Das. A scholar is included among the top collaborators of Asha 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 Asha Das. Asha 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, Asha, et al.. (2020). Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: a Review. Journal of Digital Imaging. 33(5). 1091–1121. 66 indexed citations
2.
Das, Asha, Madhu S. Nair, & David Peter. (2020). Batch Mode Active Learning on the Riemannian Manifold for Automated Scoring of Nuclear Pleomorphism in Breast Cancer. Artificial Intelligence in Medicine. 103. 101805–101805. 14 indexed citations
3.
Hogan, Daniel J., Jay‐Jiguang Zhu, Oscar R. Diago, et al.. (2018). Molecular Analyses Support the Safety and Activity of Retroviral Replicating Vector Toca 511 in Patients. Clinical Cancer Research. 24(19). 4680–4693. 23 indexed citations
4.
Das, Asha, Michiel Bolkestein, Joost A.P. Rens, et al.. (2016). Tissue inhibitor of metalloproteinase-3 (TIMP3) expression decreases during melanoma progression and inhibits melanoma cell migration. European Journal of Cancer. 66. 34–46. 23 indexed citations
5.
Han, Kelong, et al.. (2016). Modeling and simulation of maintenance treatment in first-line non-small cell lung cancer with external validation. BMC Cancer. 16(1). 473–473. 7 indexed citations
6.
Das, Asha, Alexander M.M. Eggermont, & Timo L.M. ten Hagen. (2015). A ring barrier–based migration assay to assess cell migration in vitro. Nature Protocols. 10(6). 904–915. 42 indexed citations
7.
Das, Asha, Senada Koljenović, Boris Galjart, et al.. (2015). Association of TIMP3 expression with vessel density, macrophage infiltration and prognosis in human malignant melanoma. European Journal of Cancer. 53. 135–143. 17 indexed citations
8.
Lafayette, Richard, Bruce McCall, Nicole Li, et al.. (2014). Incidence and Relevance of Proteinuria in Bevacizumab-Treated Patients: Pooled Analysis from Randomized Controlled Trials. American Journal of Nephrology. 40(1). 75–83. 35 indexed citations
9.
Bakker, Elvira R. M., Asha Das, Patrick Franken, et al.. (2013). Wnt5a promotes human colon cancer cell migration and invasion but does not augment intestinal tumorigenesis in Apc 1638N mice. Carcinogenesis. 34(11). 2629–2638. 63 indexed citations
10.
Spira, Alexander I., Nicholas Iannotti, Michael A. Savin, et al.. (2011). A Phase II Study of Eribulin Mesylate (E7389) in Patients With Advanced, Previously Treated Non–Small-Cell Lung Cancer. Clinical Lung Cancer. 13(1). 31–38. 26 indexed citations
11.
Prados, Michael, Timothy F. Cloughesy, Meghna Samant, et al.. (2010). Response as a predictor of survival in patients with recurrent glioblastoma treated with bevacizumab. Neuro-Oncology. 13(1). 143–151. 61 indexed citations
12.
Das, Asha & K. Revathy. (2007). A Comparative Analysis of Image Fusion Techniques for Remote Sensed Images.. World Congress on Engineering. 639–644. 5 indexed citations
13.
Yu, John S., Keith L. Black, Gentao Liu, et al.. (2005). Results of a Phase II Trial of Tumor Lysate-pulsed Dendritic Cell Vaccination for Malignant Glioma. Neurosurgery. 57(2). 409–410.
14.
Das, Asha, et al.. (2005). p53 Point Mutation is Rare in Meningiomas from Singaporean Patients. Asian Journal of Surgery. 28(1). 7–10. 6 indexed citations
15.
Das, Asha, et al.. (2002). Expression of survivin in primary glioblastomas. Journal of Cancer Research and Clinical Oncology. 128(6). 302–306. 54 indexed citations
16.
Das, Asha, et al.. (2002). Glioblastoma Multiforme in an Asian Population: Evidence for a Distinct Genetic Pathway. Journal of Neuro-Oncology. 60(2). 117–125. 29 indexed citations
17.
Das, Asha, et al.. (2000). Meningiomas in Singapore: Demographic and Biological Characteristics. Journal of Neuro-Oncology. 47(2). 153–160. 14 indexed citations
18.
Das, Asha, et al.. (1999). A Review of the Therapy of Paraneoplastic Neurologic Syndromes. Journal of Neuro-Oncology. 41(2). 181–194. 14 indexed citations
19.
Das, Asha & K. Puvanendran. (1999). Syringomyelia and Complex Regional Pain Syndrome as Complications of Multiple Sclerosis. Archives of Neurology. 56(8). 1021–1021. 12 indexed citations
20.
Wanless, Ian R., Powers Peterson, Asha Das, et al.. (1990). Hepatic vascular disease and portal hypertension in polycythemia vera and agnogenic myeloid metaplasia: A clinicopathological study of 145 patients examined at autopsy†. Hepatology. 12(5). 1166–1174. 99 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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