Samata Kakkad

990 total citations
30 papers, 756 citations indexed

About

Samata Kakkad is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Samata Kakkad has authored 30 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cancer Research, 12 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Samata Kakkad's work include Cancer, Hypoxia, and Metabolism (19 papers), Cancer Cells and Metastasis (6 papers) and Nanoplatforms for cancer theranostics (6 papers). Samata Kakkad is often cited by papers focused on Cancer, Hypoxia, and Metabolism (19 papers), Cancer Cells and Metastasis (6 papers) and Nanoplatforms for cancer theranostics (6 papers). Samata Kakkad collaborates with scholars based in United States, Germany and Norway. Samata Kakkad's co-authors include Zaver M. Bhujwalla, Meiyappan Solaiyappan, Balaji Krishnamachary, Kristine Glunde, Marie‐France Penet, Flonné Wildes, Yelena Mironchik, Venu Raman, Desmond Jacob and Dmitri Artemov and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Cancer Research.

In The Last Decade

Samata Kakkad

30 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samata Kakkad United States 18 290 251 211 162 141 30 756
Lionel Mignion Belgium 14 286 1.0× 273 1.1× 129 0.6× 168 1.0× 102 0.7× 34 706
Sarah Tucker Marrison United States 6 276 1.0× 172 0.7× 123 0.6× 77 0.5× 145 1.0× 10 603
Misu Lee South Korea 18 417 1.4× 194 0.8× 177 0.8× 129 0.8× 143 1.0× 59 961
Francis W. Hunter New Zealand 12 295 1.0× 263 1.0× 279 1.3× 143 0.9× 124 0.9× 19 696
May Zaw Thin United Kingdom 16 343 1.2× 124 0.5× 179 0.8× 101 0.6× 202 1.4× 21 797
Katherine Tkaczuk United States 14 321 1.1× 261 1.0× 399 1.9× 106 0.7× 149 1.1× 34 989
Laurence Carroll United Kingdom 21 406 1.4× 228 0.9× 205 1.0× 541 3.3× 145 1.0× 57 1.2k
Christel Vangestel Belgium 18 401 1.4× 296 1.2× 307 1.5× 364 2.2× 120 0.9× 49 1.0k
Jasper Lok Netherlands 16 322 1.1× 434 1.7× 149 0.7× 259 1.6× 98 0.7× 28 810
Bixiu Wen United States 19 213 0.7× 435 1.7× 149 0.7× 306 1.9× 168 1.2× 25 850

Countries citing papers authored by Samata Kakkad

Since Specialization
Citations

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

Fields of papers citing papers by Samata Kakkad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samata Kakkad

This figure shows the co-authorship network connecting the top 25 collaborators of Samata Kakkad. A scholar is included among the top collaborators of Samata Kakkad 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 Samata Kakkad. Samata Kakkad 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.
Kakkad, Samata, et al.. (2024). Collagen 1 Fiber Volume Predicts for Recurrence of Stage 1 Non-Small Cell Lung Cancer. Tomography. 10(7). 1099–1112. 1 indexed citations
2.
Krishnamachary, Balaji, Desmond Jacob, Samata Kakkad, et al.. (2023). PET/MRI and Bioluminescent Imaging Identify Hypoxia as a Cause of Programmed Cell Death Ligand 1 Image Heterogeneity. Radiology Imaging Cancer. 5(4). e220138–e220138. 5 indexed citations
3.
Penet, Marie‐France, Samata Kakkad, Flonné Wildes, & Zaver M. Bhujwalla. (2021). Water and Collagen Content Are High in Pancreatic Cancer: Implications for Quantitative Metabolic Imaging. Frontiers in Oncology. 10. 599204–599204. 9 indexed citations
4.
Kakkad, Samata, Balaji Krishnamachary, Desmond Jacob, et al.. (2019). Molecular and functional imaging insights into the role of hypoxia in cancer aggression. Cancer and Metastasis Reviews. 38(1-2). 51–64. 23 indexed citations
5.
Bharti, Santosh Kumar, Samata Kakkad, Pierre Danhier, et al.. (2019). Hypoxia Patterns in Primary and Metastatic Prostate Cancer Environments. Neoplasia. 21(2). 239–246. 20 indexed citations
6.
Bhujwalla, Zaver M., Samata Kakkad, Zhihang Chen, et al.. (2018). Theranostics and metabolotheranostics for precision medicine in oncology. Journal of Magnetic Resonance. 291. 141–151. 26 indexed citations
7.
Krishnamachary, Balaji, Pierre Danhier, Samata Kakkad, Santosh Kumar Bharti, & Zaver M. Bhujwalla. (2018). Hypoxia-Induced Reporter Genes with Different Half-Lives. Methods in molecular biology. 1790. 113–125. 3 indexed citations
8.
Goggins, Eibhlin, Samata Kakkad, Yelena Mironchik, et al.. (2017). Hypoxia Inducible Factors Modify Collagen I Fibers in MDA-MB-231 Triple Negative Breast Cancer Xenografts. Neoplasia. 20(2). 131–139. 25 indexed citations
9.
Lee, Esak, et al.. (2016). The Angiogenic Secretome in VEGF overexpressing Breast Cancer Xenografts. Scientific Reports. 6(1). 39460–39460. 25 indexed citations
10.
Kakkad, Samata, Jiangyang Zhang, Alireza Akhbardeh, et al.. (2016). Collagen fibers mediate MRI-detected water diffusion and anisotropy in breast cancers. Neoplasia. 18(10). 585–593. 23 indexed citations
11.
Shah, Tariq, Balaji Krishnamachary, Flonné Wildes, et al.. (2015). HIF isoforms have divergent effects on invasion, metastasis, metabolism and formation of lipid droplets. Oncotarget. 6(29). 28104–28119. 26 indexed citations
12.
Danhier, Pierre, Balaji Krishnamachary, Santosh Kumar Bharti, et al.. (2015). Combining Optical Reporter Proteins with Different Half-lives to Detect Temporal Evolution of Hypoxia and Reoxygenation in Tumors. Neoplasia. 17(12). 871–881. 29 indexed citations
13.
Gadiya, Mayur, Noriko Mori, Maria Dung Cao, et al.. (2014). Phospholipase D1 and choline kinase-α are interactive targets in breast cancer. Cancer Biology & Therapy. 15(5). 593–601. 27 indexed citations
14.
Kakkad, Samata, Marie‐France Penet, Alireza Akhbardeh, et al.. (2013). Hypoxic Tumor Environments Exhibit Disrupted Collagen I Fibers and Low Macromolecular Transport. PLoS ONE. 8(12). e81869–e81869. 16 indexed citations
15.
Penet, Marie‐France, Zhihang Chen, Samata Kakkad, Martin G. Pomper, & Zaver M. Bhujwalla. (2012). Theranostic imaging of cancer. European Journal of Radiology. 81. S124–S126. 18 indexed citations
16.
Kakkad, Samata, Meiyappan Solaiyappan, Pedram Argani, et al.. (2012). Collagen I fiber density increases in lymph node positive breast cancers: pilot study. Journal of Biomedical Optics. 17(11). 116017–116017. 93 indexed citations
17.
Zhang, Yuying, Kartikeya Murari, Jiefeng Xi, et al.. (2011). Fiber-optic Two-photon Fluorescence and Second Harmonic Generation Endomicroscopy. 248. JThA1–JThA1. 1 indexed citations
18.
Shah, Tariq, Ioannis Stasinopoulos, Flonné Wildes, et al.. (2011). Noninvasive imaging identifies new roles for cyclooxygenase‐2 in choline and lipid metabolism of human breast cancer cells. NMR in Biomedicine. 25(5). 746–754. 12 indexed citations
19.
Stasinopoulos, Ioannis, Marie‐France Penet, Zhihang Chen, et al.. (2011). Exploiting the tumor microenvironment for theranostic imaging. NMR in Biomedicine. 24(6). 636–647. 18 indexed citations
20.
Kakkad, Samata, Meiyappan Solaiyappan, Brian O’Rourke, et al.. (2010). Hypoxic Tumor Microenvironments Reduce Collagen I Fiber Density. Neoplasia. 12(8). 608–617. 71 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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