Subodh Kumar

2.5k total citations · 1 hit paper
74 papers, 1.6k citations indexed

About

Subodh Kumar is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Subodh Kumar has authored 74 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Infectious Diseases, 15 papers in Molecular Biology and 8 papers in Epidemiology. Recurrent topics in Subodh Kumar's work include SARS-CoV-2 and COVID-19 Research (18 papers), COVID-19 Clinical Research Studies (10 papers) and Computational Drug Discovery Methods (7 papers). Subodh Kumar is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (18 papers), COVID-19 Clinical Research Studies (10 papers) and Computational Drug Discovery Methods (7 papers). Subodh Kumar collaborates with scholars based in India, United States and Pakistan. Subodh Kumar's co-authors include Bikash Medhi, Hardeep Kaur, Pramod Avti, Anusuya Bhattacharyya, Phulen Sarma, Manisha Prajapat, Ajay Prakash, Seema Bansal, Harish Kumar and Nishant Shekhar and has published in prestigious journals such as Scientific Reports, European Urology and Life Sciences.

In The Last Decade

Subodh Kumar

69 papers receiving 1.6k 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.

Drug targets for corona virus: A systematic review

2020 376 citations Bikash Medhi, Pramod Avti et al. Indian Journal of Pharmacology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Subodh Kumar India	21	880	394	333	222	121	74	1.6k
Hardeep Kaur India	22	897 1.0×	587 1.5×	333 1.0×	225 1.0×	114 0.9×	73	1.9k
Xintian Xu China	12	1.1k 1.3×	300 0.8×	220 0.7×	323 1.5×	99 0.8×	38	2.0k
Shasha Hu China	15	755 0.9×	513 1.3×	145 0.4×	213 1.0×	118 1.0×	39	1.6k
Chan Yang China	15	1.3k 1.4×	638 1.6×	218 0.7×	122 0.5×	126 1.0×	50	2.0k
Yingzhu Li United States	8	1.3k 1.5×	612 1.6×	318 1.0×	105 0.5×	74 0.6×	9	2.0k
Xianyue Wang China	9	1.3k 1.5×	442 1.1×	158 0.5×	213 1.0×	105 0.9×	13	1.9k
L. Garner United States	4	1.2k 1.4×	526 1.3×	295 0.9×	98 0.4×	63 0.5×	4	1.8k
Silvio Steiner Switzerland	8	1.6k 1.9×	752 1.9×	274 0.8×	224 1.0×	190 1.6×	10	2.5k
Alison Hogg United States	20	1.2k 1.3×	539 1.4×	143 0.4×	315 1.4×	300 2.5×	34	2.3k
Anusuya Bhattacharyya India	13	658 0.7×	225 0.6×	218 0.7×	188 0.8×	66 0.5×	25	1.0k

Countries citing papers authored by Subodh Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Subodh Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subodh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Subodh Kumar. A scholar is included among the top collaborators of Subodh Kumar 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 Subodh Kumar. Subodh Kumar 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

Goel, Sonu, et al.. (2024). A randomised controlled trial to evaluate the effectiveness of a culture and disease-specific, patient-centric multi-component tobacco cessation intervention package for the patients attending non-communicable disease clinics in Punjab, India. Psychology and Health. 40(9). 1497–1514.

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

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

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

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

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

Medhi, Bikash, Anusuya Bhattacharyya, Phulen Sarma, et al.. (2021). Rhino-orbital-cerebral-mucormycosis in COVID-19: A systematic review. Indian Journal of Pharmacology. 53(4). 317–317. 43 indexed citations

10.

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

11.

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

12.

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

13.

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

14.

Shekhar, Nishant, Phulen Sarma, Manisha Prajapat, et al.. (2020). In Silico Structure-Based Repositioning of Approved Drugs for Spike Glycoprotein S2 Domain Fusion Peptide of SARS-CoV-2: Rationale from Molecular Dynamics and Binding Free Energy Calculations. mSystems. 5(5). 26 indexed citations

15.

Sarma, Phulen, Hardeep Kaur, Manisha Prajapat, et al.. (2020). Efficacy and Safety of Topical Cysteamine in Corneal Cystinosis: A Systematic Review and Meta-Analysis. American Journal of Ophthalmology. 223. 275–285. 7 indexed citations

16.

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

17.

Kumar, Subodh, Sanjeev Sharma, Gaurav Kaushik, et al.. (2018). Therapeutic potential of arachidonyl trifluromethyl ketone, a cytosolic phospholipaseA2 IVA specific inhibitor, in cigarette smoke condensate-induced pathological conditions in alveolar type I & II epithelial cells. Toxicology in Vitro. 54. 215–223. 5 indexed citations

18.

Aggarwal, Sonya, et al.. (2018). Real World Evidence for Effectiveness of Biologics for Rheumatoid Arthritis: Systematic Literature Review of Population Based Registry Studies. Value in Health. 21. S192–S192. 1 indexed citations

19.

Kumar, Subodh, et al.. (2013). Supplementation of Ginger with Anti- Tuberculosis Treatment (ATT): A better Approach to Treat Anemic Pulmonary Tuberculosis Patients. International Journal of Herbal Medicine. 1(3). 17–20. 3 indexed citations

20.

Avti, Pramod, et al.. (2005). Low dose gamma-irradiation differentially modulates antioxidant defense in liver and lungs of Balb/c mice. International Journal of Radiation Biology. 81(12). 901–910. 28 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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