Phulen Sarma

3.4k total citations · 2 hit papers
88 papers, 2.2k citations indexed

About

Phulen Sarma is a scholar working on Infectious Diseases, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Phulen Sarma has authored 88 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Infectious Diseases, 17 papers in Molecular Biology and 11 papers in Computational Theory and Mathematics. Recurrent topics in Phulen Sarma's work include SARS-CoV-2 and COVID-19 Research (19 papers), COVID-19 Clinical Research Studies (14 papers) and Computational Drug Discovery Methods (11 papers). Phulen Sarma is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (19 papers), COVID-19 Clinical Research Studies (14 papers) and Computational Drug Discovery Methods (11 papers). Phulen Sarma collaborates with scholars based in India, United States and Somalia. Phulen Sarma's co-authors include Bikash Medhi, Dibbanti HariKrishnaReddy, Rishika Dhapola, Ajay Prakash, Hardeep Kaur, Subodh Kumar, Manisha Prajapat, Nishant Shekhar, Sujata Thakur and Pramod Avti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of the American Academy of Child & Adolescent Psychiatry.

In The Last Decade

Phulen Sarma

80 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neuroinflammation in Alzheimer’s Disease: Current Progress in Molecular Signaling and Therapeutics

2022 310 citations Phulen Sarma, Bikash Medhi et al. profile →
Recent advances in molecular pathways and therapeutic implications targeting neuroinflammation for Alzheimer’s disease

2021 258 citations Phulen Sarma, Anusuya Bhattacharyya et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Phulen Sarma India	23	726	554	328	257	250	88	2.2k
Jatin Machhi United States	19	693 1.0×	515 0.9×	230 0.7×	262 1.0×	120 0.5×	34	1.8k
Ajay Prakash India	27	728 1.0×	650 1.2×	128 0.4×	269 1.0×	260 1.0×	123	2.4k
Yanfeng Xu China	24	1.1k 1.5×	1.3k 2.3×	399 1.2×	255 1.0×	123 0.5×	71	3.1k
Yunlin Han China	15	712 1.0×	657 1.2×	256 0.8×	175 0.7×	80 0.3×	39	1.8k
Bikash Medhi India	37	1.1k 1.5×	1.4k 2.4×	654 2.0×	422 1.6×	548 2.2×	254	5.3k
Seema Bansal India	25	483 0.7×	664 1.2×	167 0.5×	153 0.6×	179 0.7×	87	2.0k
Jing Meng China	21	1.3k 1.8×	1.1k 2.0×	83 0.3×	372 1.4×	180 0.7×	56	3.1k
Qing Ma United States	29	709 1.0×	531 1.0×	226 0.7×	134 0.5×	33 0.1×	164	2.8k
Yen‐Chin Liu Taiwan	29	375 0.5×	1.1k 1.9×	774 2.4×	150 0.6×	36 0.1×	106	3.2k

Countries citing papers authored by Phulen Sarma

Since Specialization

Citations

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

Fields of papers citing papers by Phulen Sarma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phulen Sarma

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

All Works

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20 of 20 papers shown

Prabakaran, A, et al.. (2025). Chitosan-coated nanostructured lipid carriers for intranasal delivery of sinapic acid in Aβ1–42 induced C57BL/6 mice for Alzheimer's disease treatment. International Journal of Biological Macromolecules. 305(Pt 2). 141136–141136. 3 indexed citations

Prajapat, Manisha, Phulen Sarma, Gurjeet Kaur, et al.. (2025). Therapeutic potential of 6BIO and DKK1-LRP6 inhibitor in Wnt/β-catenin pathway modulation for amyloid-β-induced Alzheimer's disease model. Journal of Alzheimer s Disease. 107(2). 857–878.

Kaur, Gurjeet, Manisha Prajapat, Phulen Sarma, et al.. (2023). Investigating the novel-binding site of RPA2 on Menin and predicting the effect of point mutation of Menin through protein–protein interactions. Scientific Reports. 13(1). 9337–9337. 1 indexed citations

Joshi, Rupa, Abhishek Mishra, Mahendra Kumar, et al.. (2022). A systematic review on SARS-CoV-2 remission: an emerging challenge for its management, treatment, immunization strategies, and post-treatment guidelines. New Microbes and New Infections. 45. 100949–100949. 1 indexed citations

Avti, Pramod, Nishant Shekhar, Manisha Prajapat, et al.. (2021). An insight into the simulation directed understanding of the mechanism in SARS CoV-2 N-CTD, dimer integrity, and RNA-binding: Identifying potential antiviral inhibitors. Journal of Biomolecular Structure and Dynamics. 40(24). 13912–13924. 5 indexed citations

Bansal, Seema, Phulen Sarma, Harish Kumar, et al.. (2021). Stem cell therapy in COVID-19: Pooled evidence from SARS-CoV-2, SARS-CoV, MERS-CoV and ARDS: A systematic review. Biomedicine & Pharmacotherapy. 137. 111300–111300. 18 indexed citations

Singh, Rahul, Ashutosh Singh, Harpinder Kaur, et al.. (2021). Promising traditional Indian medicinal plants for the management of novel Coronavirus disease: A systematic review. Phytotherapy Research. 35(8). 4456–4484. 33 indexed citations

Shekhar, Nishant, Harpinder Kaur, Phulen Sarma, Ajay Prakash, & Bikash Medhi. (2021). Indomethacin: an exploratory study of antiviral mechanism and host-pathogen interaction in COVID-19. Expert Review of Anti-infective Therapy. 20(3). 383–390. 15 indexed citations

Avti, Pramod, Nishant Shekhar, Manisha Prajapat, et al.. (2021). Computational basis of SARS-CoV 2 main protease inhibition: an insight from molecular dynamics simulation based findings. Journal of Biomolecular Structure and Dynamics. 40(19). 8894–8904. 29 indexed citations

10.

Kumar, Subodh, Phulen Sarma, Hardeep Kaur, et al.. (2021). Clinically relevant cell culture models and their significance in isolation, pathogenesis, vaccine development, repurposing and screening of new drugs for SARS-CoV-2: a systematic review. Tissue and Cell. 70. 101497–101497. 42 indexed citations

11.

Bansal, Seema, Subodh Kumar, Rupa Joshi, et al.. (2021). Everolimus: A potential therapeutic agent targeting PI3K/Akt pathway in brain insulin system dysfunction and associated neurobehavioral deficits. Fundamental and Clinical Pharmacology. 35(6). 1018–1031. 8 indexed citations

12.

Kaur, Harpinder, Nishant Shekhar, Saurabh Sharma, et al.. (2021). Ivermectin as a potential drug for treatment of COVID-19: an in-sync review with clinical and computational attributes. Pharmacological Reports. 73(3). 736–749. 67 indexed citations

13.

Sarma, Phulen, Nishant Shekhar, Manisha Prajapat, et al.. (2020). In-silico homology assisted identification of inhibitor of RNA binding against 2019-nCoV N-protein (N terminal domain). Journal of Biomolecular Structure and Dynamics. 39(8). 2724–2732. 175 indexed citations

14.

Singh, Ashutosh, Rahul Singh, Phulen Sarma, et al.. (2020). A Comprehensive Review of Animal Models for Coronaviruses: SARS-CoV-2, SARS-CoV, and MERS-CoV. Virologica Sinica. 35(3). 290–304. 56 indexed citations

15.

Varthya, Shoban Babu, Phulen Sarma, Alka Bhatia, et al.. (2020). Efficacy of green tea, its polyphenols and nanoformulation in experimental colitis and the role of non-canonical and canonical nuclear factor kappa beta (NF-kB) pathway: a preclinical in-vivo and in-silico exploratory study. Journal of Biomolecular Structure and Dynamics. 39(14). 5314–5326. 25 indexed citations

16.

Sarma, Phulen, Hardeep Kaur, Harish Kumar, et al.. (2020). Virological and clinical cure in COVID‐19 patients treated with hydroxychloroquine: A systematic review and meta‐analysis. Journal of Medical Virology. 92(7). 776–785. 141 indexed citations

17.

Sarma, Phulen, Hardeep Kaur, Harpinder Kaur, et al.. (2020). Premature graying of hair: Risk factors, co‐morbid conditions, pharmacotherapy and reversal—A systematic review and meta‐analysis. Dermatologic Therapy. 33(6). e13990–e13990. 13 indexed citations

18.

Kohli, Kanchan, et al.. (2019). Improvement in quality of life with buprenorphine in opioid dependence. National Journal of Physiology Pharmacy and Pharmacology. 1–1. 5 indexed citations

19.

Kaur, Harpinder, Phulen Sarma, Hardeep Kaur, et al.. (2019). Therapeutic options for management of Hori's nevus: A systematic review. Dermatologic Therapy. 33(1). 9 indexed citations

20.

Sarma, Phulen & Anusuya Bhattacharyya. (2014). MODELS OF EPILEPSY USED IN ANTIEPILEPTIC DRUG DISCOVERY: A REVIEW. International Journal of Pharmacy and Pharmaceutical Sciences. 6(11). 1–7. 9 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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