Lubna Therachiyil

937 citations
23 papers · 619 indexed · 1 hit paper · h-index 12

Lubna Therachiyil

19 papers receiving 610 citations

Hit Papers

Targeting cancer signaling pathways by natural products: ...229202220262023202450100150200

Peers

Lubna Therachiyil
Comparison fields: 5 of 90
  • Toxicology 28
  • Cancer Research 123
  • Neurology 45
  • Molecular Medicine 26
  • Molecular Biology 345
Replace Alena Opattová with:
Alena Opattová Czechia
Ying Hou China
Ming Yue Li China
Sampath Ramachandiran United States
Suyun Yu China
Yung-Luen Shih Taiwan
Yi‐Ting Hsi Taiwan
Dinesh Thapa South Korea
Sin‐Aye Park South Korea
Jianlin Ren China
Lubna Therachiyil relative to Alena Opattová Czechia Alena Opattová's profile →
Citations per field
00.5×1.5×2.3×
Alena Opattová · 1×
Citations per year

Countries citing papers authored by Lubna Therachiyil

Since Specialization
Citations

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

Fields of papers citing papers by Lubna Therachiyil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Lubna Therachiyil, 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 Lubna Therachiyil Line = papers co-authored together Lubna Therachiyil links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20250
5 20247
6 20243
7 20242
8 20234
9 20232
10 202316
11 202214
12 20222
13
Targeting cancer signaling pathways by natural products: Exploring promising anti-cancer agentsbreakdown →
2022229
14 202018
15 202032
16 2020103
17 202031
18 201847
19 201735
20 20161

About Lubna Therachiyil

Lubna Therachiyil is a scholar working on Toxicology, Cancer Research and Oncology, having authored 23 papers that have together received 619 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), Cancer Cells and Metastasis (5 papers), Epigenetics and DNA Methylation (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Bioactive Compounds and Antitumor Agents (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Ferroptosis and cancer prognosis (2 papers) and Barrier Structure and Function Studies (2 papers). The work is most often cited by research in Toxicology (28 citations), Cancer Research (123 citations) and Neurology (45 citations). Lubna Therachiyil has collaborated with scholars based in Qatar, United States and India. Frequent co-authors include Shahab Uddin, Ajaz A. Bhat, Roopesh Krishnankutty, Muzafar A. Macha, Sheema Hashem, Mohammad Haris, Sabah Nisar, Sabah Akhtar, Geetanjali Sageena and Hesham M. Korashy. Their work appears in journals such as PLoS ONE, The FASEB Journal and International Journal of Molecular Sciences.

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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