Heena Khan

1.7k total citations · 1 hit paper
60 papers, 1.2k citations indexed

About

Heena Khan is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Heena Khan has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Physiology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Heena Khan's work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (6 papers) and Cardiac Ischemia and Reperfusion (6 papers). Heena Khan is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Alzheimer's disease research and treatments (6 papers) and Cardiac Ischemia and Reperfusion (6 papers). Heena Khan collaborates with scholars based in India, Australia and Egypt. Heena Khan's co-authors include Thakur Gurjeet Singh, Amarjot Kaur, Komal Thapa, Amarjot Kaur Grewal, Mohamed M. Abdel‐Daim, Timir Tripathi, Nikhil Garg, Uma Sharma, Anjali Gupta and Komal Thapa and has published in prestigious journals such as Biochemistry, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Heena Khan

53 papers receiving 1.2k citations

Hit Papers

Traumatic Brain Injury: Mechanistic Insight on Pathophysi... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heena Khan India 21 524 204 204 194 132 60 1.2k
Yuki Kurauchi Japan 21 538 1.0× 201 1.0× 196 1.0× 177 0.9× 166 1.3× 84 1.3k
Yushu Dong China 19 676 1.3× 176 0.9× 321 1.6× 255 1.3× 244 1.8× 46 1.6k
Md. Ezazul Haque South Korea 19 692 1.3× 184 0.9× 320 1.6× 268 1.4× 106 0.8× 24 1.5k
Ángel J. García‐Yagüe Spain 12 979 1.9× 167 0.8× 330 1.6× 170 0.9× 168 1.3× 17 1.5k
Stjepana Kovac Germany 20 634 1.2× 201 1.0× 168 0.8× 199 1.0× 148 1.1× 56 1.7k
Ghorbangol Ashabi Iran 18 529 1.0× 105 0.5× 221 1.1× 267 1.4× 110 0.8× 73 1.3k
Zhao Zhang China 26 791 1.5× 181 0.9× 483 2.4× 201 1.0× 227 1.7× 61 1.6k
Rodrigo Portes Ureshino Brazil 22 401 0.8× 197 1.0× 102 0.5× 250 1.3× 323 2.4× 44 1.3k
Er‐Qing Wei China 24 438 0.8× 110 0.5× 394 1.9× 225 1.2× 77 0.6× 34 1.1k

Countries citing papers authored by Heena Khan

Since Specialization
Citations

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

Fields of papers citing papers by Heena Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heena Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Heena Khan. A scholar is included among the top collaborators of Heena Khan 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 Heena Khan. Heena Khan 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.
Kaur, Jashanpreet, Veerta Sharma, Heena Khan, Shareen Singh, & Thakur Gurjeet Singh. (2025). Intersecting molecular pathways in Synucleinopathies and Amyloidogenesis: Exploring shared mechanisms and therapeutic potential. Brain Research. 1855. 149568–149568. 1 indexed citations
2.
Khan, Heena, et al.. (2025). Pharmacological modulation of PI3K/PTEN/Akt/mTOR/ERK signaling pathways in ischemic injury: a mechanistic perspective. Metabolic Brain Disease. 40(3). 131–131. 5 indexed citations
3.
Khan, Heena, et al.. (2024). Exploring therapeutic potential: Targeting TRPM7 in neurodegenerative diseases. International Immunopharmacology. 142(Pt B). 113142–113142. 4 indexed citations
5.
Thakur, Kiran T., Heena Khan, Amarjot Kaur Grewal, & Thakur Gurjeet Singh. (2023). Nuclear orphan receptors: A novel therapeutic agent in neuroinflammation. International Immunopharmacology. 124(Pt A). 110845–110845. 2 indexed citations
6.
Khan, Heena, et al.. (2023). Pharmacological modulation of HIF-1 in the treatment of neuropsychiatric disorders. Journal of Neural Transmission. 130(12). 1523–1535. 7 indexed citations
8.
Khan, Heena, Thakur Gurjeet Singh, Randhir Singh, & Mohamed M. Abdel‐Daim. (2022). α-Lipoic Acid, an Organosulfur Biomolecule a Novel Therapeutic Agent for Neurodegenerative Disorders: An Mechanistic Perspective. Neurochemical Research. 47(7). 1853–1864. 37 indexed citations
9.
Khan, Heena, et al.. (2022). Demethyleneberberine, a potential therapeutic agent in neurodegenerative disorders: a proposed mechanistic insight. Molecular Biology Reports. 49(10). 10101–10113. 9 indexed citations
11.
Khan, Heena, Kunal Sharma, Amit Kumar, Amarjot Kaur, & Thakur Gurjeet Singh. (2022). Therapeutic implications of cyclooxygenase (COX) inhibitors in ischemic injury. Inflammation Research. 71(3). 277–292. 40 indexed citations
12.
Khan, Heena, et al.. (2022). Therapeutic and mechanistic intervention of vitamin D in neuropsychiatric disorders. Psychiatry Research. 317. 114782–114782. 24 indexed citations
13.
Khan, Heena, et al.. (2022). Intervention of neuroinflammation in the traumatic brain injury trajectory: In vivo and clinical approaches. International Immunopharmacology. 108. 108902–108902. 35 indexed citations
14.
Garg, Nikhil, Thakur Uttam Singh, Heena Khan, et al.. (2021). Mechanistic Interventions of Selected Ocimum Species in Management of Diabetes, Obesity and Liver Disorders: Transformative Developments from Preclinical to Clinical Approaches. Biointerface Research in Applied Chemistry. 12(1). 1304–1323. 18 indexed citations
15.
Khan, Heena, et al.. (2021). PRECLINICAL AND CLINICAL PERSPECTIVES OF Curculigo orchioides (Kali musali) AS THERAPEUTIC MODULATOR. PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY. 354–372. 3 indexed citations
16.
Khan, Heena, Anjali Singh, Komal Thapa, et al.. (2021). Therapeutic modulation of the phosphatidylinositol 3-kinases (PI3K) pathway in cerebral ischemic injury. Brain Research. 1761. 147399–147399. 41 indexed citations
17.
Thapa, Komal, Heena Khan, Thakur Gurjeet Singh, & Amarjot Kaur. (2021). Traumatic Brain Injury: Mechanistic Insight on Pathophysiology and Potential Therapeutic Targets. Journal of Molecular Neuroscience. 71(9). 1725–1742. 204 indexed citations breakdown →
18.
Khan, Heena, et al.. (2021). Neuropeptides: Potential neuroprotective agents in ischemic injury. Life Sciences. 288. 120186–120186. 38 indexed citations
19.
Pandey, Tripti, Arpita Ghosh, Parismita Kalita, et al.. (2020). Draft Genome of the Liver Fluke Fasciola gigantica. ACS Omega. 5(19). 11084–11091. 23 indexed citations
20.
Tripathi, Timir & Heena Khan. (2020). Direct Interaction between the β-Amyloid Core and Tau Facilitates Cross-Seeding: A Novel Target for Therapeutic Intervention. Biochemistry. 59(4). 341–342. 31 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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