Suman Manandhar

559 total citations
29 papers, 370 citations indexed

About

Suman Manandhar is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Suman Manandhar has authored 29 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 7 papers in Pharmacology. Recurrent topics in Suman Manandhar's work include Computational Drug Discovery Methods (11 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Tryptophan and brain disorders (4 papers). Suman Manandhar is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Tryptophan and brain disorders (4 papers). Suman Manandhar collaborates with scholars based in India, Australia and Canada. Suman Manandhar's co-authors include K. Sreedhara Ranganath Pai, Chetan Hasmukh Mehta, Usha Y. Nayak, Yogendra Nayak, Runali Sankhe, Shama Prasada Kabekkodu, Nitesh Kumar, Sri Pragnya Cheruku, Jayesh Mudgal and Akhil Suresh and has published in prestigious journals such as Scientific Reports, Carbohydrate Polymers and European Journal of Pharmaceutics and Biopharmaceutics.

In The Last Decade

Suman Manandhar

27 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suman Manandhar India 12 135 52 51 50 48 29 370
Tuong Kha Vo Vietnam 8 104 0.8× 51 1.0× 75 1.5× 52 1.0× 15 0.3× 9 306
M. Arockia Babu India 13 135 1.0× 60 1.2× 28 0.5× 29 0.6× 72 1.5× 62 404
Eva Gil-Martins Portugal 12 121 0.9× 50 1.0× 27 0.5× 31 0.6× 15 0.3× 20 432
Carola Foerster Germany 7 122 0.9× 36 0.7× 14 0.3× 31 0.6× 76 1.6× 8 344
Farhad Eisvand Iran 13 190 1.4× 76 1.5× 32 0.6× 26 0.5× 51 1.1× 26 602
Elham Arbabi Iran 12 125 0.9× 31 0.6× 41 0.8× 74 1.5× 20 0.4× 22 419
Thomas A. Vander Jagt United States 9 139 1.0× 37 0.7× 96 1.9× 35 0.7× 29 0.6× 9 395
Aamir Nazir India 13 231 1.7× 43 0.8× 45 0.9× 25 0.5× 23 0.5× 49 598
Sattam Khulaif Alenezi Saudi Arabia 11 130 1.0× 41 0.8× 18 0.4× 52 1.0× 9 0.2× 29 360
Subham Das India 14 165 1.2× 59 1.1× 52 1.0× 24 0.5× 83 1.7× 42 563

Countries citing papers authored by Suman Manandhar

Since Specialization
Citations

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

Fields of papers citing papers by Suman Manandhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suman Manandhar

This figure shows the co-authorship network connecting the top 25 collaborators of Suman Manandhar. A scholar is included among the top collaborators of Suman Manandhar 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 Suman Manandhar. Suman Manandhar 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.
Manandhar, Suman, et al.. (2025). Substance P mitigates lipopolysaccharide induced cognitive impairment in rats in a dose dependent manner. Neuropeptides. 113. 102551–102551.
2.
Yarlagadda, Dani Lakshman, Subham Das, Suman Manandhar, et al.. (2024). Computational-Based Polyphenol Therapy for Nonsmall Cell Lung Cancer: Naringin Coamorphous Systems for Solubility and Bioavailability Enhancement. Molecular Pharmaceutics. 21(8). 3951–3966. 5 indexed citations
3.
Mehta, Chetan Hasmukh, et al.. (2024). Development of Epigallocatechin 3-gallate-Loaded Hydrogel Nanocomposites for Oral Submucous Fibrosis. AAPS PharmSciTech. 25(4). 66–66. 4 indexed citations
4.
Manandhar, Suman, et al.. (2023). BRAF gene as a potential target to attenuate drug resistance and treat cancer. Gene Reports. 30. 101740–101740. 3 indexed citations
5.
Manandhar, Suman, et al.. (2023). Role of GSK-3β Inhibitors: New Promises and Opportunities for Alzheimer’s Disease. Advanced Pharmaceutical Bulletin. 13(4). 688–700. 29 indexed citations
6.
Yarlagadda, Dani Lakshman, Swapnil J. Dengale, Sudharsan Pandiyan, et al.. (2023). A computational-based approach to fabricate Ceritinib co-amorphous system using a novel co-former Rutin for bioavailability enhancement. European Journal of Pharmaceutics and Biopharmaceutics. 190. 220–230. 15 indexed citations
7.
Manandhar, Suman, et al.. (2023). Brain-targeted Nano-architectures for Efficient Drug Delivery andSensitization in Glioblastoma. Current Pharmaceutical Design. 29(22). 1775–1790.
8.
Satarker, Sairaj, Suman Manandhar, Dani Lakshman Yarlagadda, et al.. (2023). Evaluating the Role of N-Acetyl-L-Tryptophan in the Aβ 1-42-Induced Neuroinflammation and Cognitive Decline in Alzheimer’s Disease. Molecular Neurobiology. 61(7). 4421–4440. 9 indexed citations
9.
Manandhar, Suman, Ekta Rathi, Shama Prasada Kabekkodu, et al.. (2023). Identification of potential Akt activators: a ligand and structure-based computational approach. Molecular Diversity. 28(3). 1485–1503. 8 indexed citations
10.
Manandhar, Suman, et al.. (2022). Dehydrozingerone promotes healing of diabetic foot ulcers: a molecular insight. Journal of Cell Communication and Signaling. 17(3). 673–688. 12 indexed citations
11.
Manandhar, Suman, et al.. (2022). Identification of novel TMPRSS2 inhibitors against SARS-CoV-2 infection: a structure-based virtual screening and molecular dynamics study. Structural Chemistry. 33(5). 1529–1541. 8 indexed citations
12.
Manandhar, Suman, et al.. (2022). Identification of phytochemical as a dual inhibitor of PI3K and mTOR: a structure-based computational approach. Molecular Diversity. 27(5). 2015–2036. 11 indexed citations
14.
Manandhar, Suman, et al.. (2021). Repositioning of antidiabetic drugs for Alzheimer’s disease: possibility of Wnt signaling modulation by targeting LRP6 an in silico based study. Journal of Biomolecular Structure and Dynamics. 40(20). 9577–9591. 8 indexed citations
15.
Cheruku, Sri Pragnya, Suman Manandhar, Krishnadas Nandakumar, et al.. (2021). Restoring chemo-sensitivity to temozolomide via targeted inhibition of poly (ADP-ribose) polymerase-1 by naringin in glioblastoma. Chemical Papers. 75(9). 4861–4871. 8 indexed citations
18.
Narayan, Reema, Shivaprasad Gadag, Sri Pragnya Cheruku, et al.. (2021). Chitosan-glucuronic acid conjugate coated mesoporous silica nanoparticles: A smart pH-responsive and receptor-targeted system for colorectal cancer therapy. Carbohydrate Polymers. 261. 117893–117893. 71 indexed citations
19.
Sankhe, Runali, Ekta Rathi, Suman Manandhar, et al.. (2020). Repurposing of existing FDA approved drugs for Neprilysin inhibition: An in-silico study. Journal of Molecular Structure. 1224. 129073–129073. 27 indexed citations
20.

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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