Saba Tabasum

472 total citations · 1 hit paper
10 papers, 268 citations indexed

About

Saba Tabasum is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Saba Tabasum has authored 10 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Saba Tabasum's work include Pancreatic and Hepatic Oncology Research (2 papers), Cancer Mechanisms and Therapy (2 papers) and Phagocytosis and Immune Regulation (2 papers). Saba Tabasum is often cited by papers focused on Pancreatic and Hepatic Oncology Research (2 papers), Cancer Mechanisms and Therapy (2 papers) and Phagocytosis and Immune Regulation (2 papers). Saba Tabasum collaborates with scholars based in India, United States and Netherlands. Saba Tabasum's co-authors include Rana P. Singh, Vikas Sharma, Sourabh Ghosh, Ritu Kulshreshtha, Chitra Sarkar, Akash Sabarwal, Durba Pal, Sashwati Roy, Surya Gnyawali and Sujit K. Mohanty and has published in prestigious journals such as Diabetes, The FASEB Journal and International Journal of Cancer.

In The Last Decade

Saba Tabasum

9 papers receiving 266 citations

Hit Papers

AXL signaling in cancer: from molecular insights to targe... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saba Tabasum India 8 128 63 63 52 30 10 268
Fu‐Gang Duan China 10 219 1.7× 45 0.7× 52 0.8× 80 1.5× 46 1.5× 14 390
Arnatchai Maiuthed Thailand 12 187 1.5× 48 0.8× 97 1.5× 83 1.6× 26 0.9× 22 341
Sergette Banang‐Mbeumi United States 6 160 1.3× 45 0.7× 52 0.8× 36 0.7× 76 2.5× 9 356
Tithi Roy United States 7 172 1.3× 45 0.7× 52 0.8× 37 0.7× 78 2.6× 17 392
Yuzhou Pang China 12 148 1.2× 33 0.5× 50 0.8× 64 1.2× 46 1.5× 24 411
Heather A. Bullock United States 8 226 1.8× 46 0.7× 98 1.6× 21 0.4× 17 0.6× 9 387
Xianjun Yu China 14 286 2.2× 63 1.0× 57 0.9× 50 1.0× 50 1.7× 20 454
David Standing United States 11 320 2.5× 27 0.4× 104 1.7× 105 2.0× 47 1.6× 16 513
Xiang Fei South Korea 13 185 1.4× 52 0.8× 27 0.4× 49 0.9× 30 1.0× 26 384
Shu‐Hsin Chen Taiwan 12 192 1.5× 41 0.7× 51 0.8× 61 1.2× 18 0.6× 17 378

Countries citing papers authored by Saba Tabasum

Since Specialization
Citations

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

Fields of papers citing papers by Saba Tabasum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saba Tabasum

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

All Works

10 of 10 papers shown
1.
Solanki, Raghu, et al.. (2025). A comprehensive review of anti-cancer mechanisms of polyphenol honokiol and nano carrier-based approaches to enhance its therapeutic potential. Phytochemistry Reviews. 24(6). 5701–5727. 5 indexed citations
2.
3.
Sharma, Anuj K., Saba Tabasum, Rana Pratap Singh, et al.. (2025). AXL signaling in cancer: from molecular insights to targeted therapies. Signal Transduction and Targeted Therapy. 10(1). 37–37. 20 indexed citations breakdown →
4.
Kumar, Rahul, Raghu Solanki, Saba Tabasum, et al.. (2024). Recent developments in receptor tyrosine kinase inhibitors: A promising mainstay in targeted cancer therapy. PubMed. 23. 100195–100195. 15 indexed citations
5.
Tabasum, Saba, Dinesh Thapa, Anita Giobbie‐Hurder, et al.. (2023). EDIL3 as an Angiogenic Target of Immune Exclusion Following Checkpoint Blockade. Cancer Immunology Research. 11(11). 1493–1507. 13 indexed citations
6.
Tabasum, Saba, et al.. (2023). Aminoacyl‐tRNA synthetase – a molecular multitasker. The FASEB Journal. 37(11). e23219–e23219. 12 indexed citations
7.
Singh, Kanhaiya, Mithun Sinha, Durba Pal, et al.. (2019). Cutaneous Epithelial to Mesenchymal Transition Activator ZEB1 Regulates Wound Angiogenesis and Closure in a Glycemic Status–Dependent Manner. Diabetes. 68(11). 2175–2190. 47 indexed citations
8.
9.
Sharma, Vikas, Saba Tabasum, Sourabh Ghosh, et al.. (2019). Polycomb complex mediated epigenetic reprogramming alters TGF‐β signaling via a novel EZH2/miR‐490/TGIF2 axis thereby inducing migration and EMT potential in glioblastomas. International Journal of Cancer. 145(5). 1254–1269. 39 indexed citations
10.
Tabasum, Saba, et al.. (2013). Berberine in combination with doxorubicin suppresses growth of murine melanoma B16F10 cells in culture and xenograft. Phytomedicine. 21(3). 340–347. 69 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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