Saba Tabasum

472 citations
10 papers · 268 · 1 hit paper · h-index 8

Impact in

    • Berberine and alkaloids research
    • Flavonoids in Medical Research
    • Alkaloids: synthesis and pharmacology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Saba Tabasum

9 papers receiving 266 citations

Saba Tabasum's Hit Papers

AXL signaling in cancer: from molecular insights to targeted therapies 2025 · 20 citations
200Years since publication5101520

Peers

Saba Tabasum
Comparison fields: 5 of 70
  • Pharmacology 63
  • Cancer Research 52
  • Rehabilitation 23
  • Pharmacology 21
  • Oncology 63
Replace Sergette Banang‐Mbeumi with:
Sergette Banang‐Mbeumi United States
Tithi Roy United States
Dayong Huang China
Arnatchai Maiuthed Thailand
Shu‐Hsin Chen Taiwan
Fu‐Gang Duan China
David Standing United States
Xianhua Huang China
Kyu Hee Lim South Korea
Jiaqin Wu China
Saba Tabasum relative to Sergette Banang‐Mbeumi United States Sergette Banang‐Mbeumi's profile →
Citations per field
00.5×3.7×
Sergette Banang‐Mbeumi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Saba Tabasum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Saba Tabasum Line = papers co-authored together Saba Tabasum links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201369
2 201948
3 201947
4 201939
5
AXL signaling in cancer: from molecular insights to targeted therapies
Hit paper breakdown →
202520
6 202415
7 202313
8 202312
9 20255
10 20250

About Saba Tabasum

Saba Tabasum is a scholar working on Oncology, Molecular Biology, Immunology, Pharmacology and Pathology and Forensic Medicine, having authored 10 papers that have together received 268 indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Cancer Mechanisms and Therapy (2 papers), MicroRNA in disease regulation (1 paper), Oxidative Organic Chemistry Reactions (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Pharmacology (63 citations), Cancer Research (52 citations), Rehabilitation (23 citations), Pharmacology (21 citations) and Oncology (63 citations). Saba Tabasum has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Rana P. Singh, Akash Sabarwal, Ritu Kulshreshtha, Chitra Sarkar, Vikas Sharma, Sourabh Ghosh, Chandan K. Sen, Subendu Sarkar, Sashwati Roy and Mithun Sinha. Their work appears in journals such as Phytomedicine, Cancer Letters, Diabetes, Phytochemistry Reviews and Signal Transduction and Targeted Therapy.

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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