Hardeep Kaur

2.9k total citations · 1 hit paper
73 papers, 1.9k citations indexed

About

Hardeep Kaur is a scholar working on Infectious Diseases, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Hardeep Kaur has authored 73 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Infectious Diseases, 14 papers in Molecular Biology and 8 papers in Computational Theory and Mathematics. Recurrent topics in Hardeep Kaur's work include SARS-CoV-2 and COVID-19 Research (17 papers), COVID-19 Clinical Research Studies (10 papers) and Computational Drug Discovery Methods (8 papers). Hardeep Kaur is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (17 papers), COVID-19 Clinical Research Studies (10 papers) and Computational Drug Discovery Methods (8 papers). Hardeep Kaur collaborates with scholars based in India, United States and Pakistan. Hardeep Kaur's co-authors include Bikash Medhi, Subodh Kumar, Pramod Avti, Anusuya Bhattacharyya, Phulen Sarma, Manisha Prajapat, Ajay Prakash, Sunil Mittal, Nandini Gautam and Anil K. Mantha and has published in prestigious journals such as Nature Communications, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Hardeep Kaur

67 papers receiving 1.8k citations

Hit Papers

Drug targets for corona virus: A systematic review 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hardeep Kaur India 22 897 587 333 225 163 73 1.9k
Ajay Prakash India 27 728 0.8× 650 1.1× 260 0.8× 269 1.2× 163 1.0× 123 2.4k
Qianyun Liu China 16 1.9k 2.2× 752 1.3× 332 1.0× 339 1.5× 191 1.2× 44 3.5k
Subodh Kumar India 21 880 1.0× 394 0.7× 333 1.0× 222 1.0× 49 0.3× 74 1.6k
Chan Yang China 15 1.3k 1.4× 638 1.1× 218 0.7× 122 0.5× 159 1.0× 50 2.0k
Jiannan Feng China 24 1.2k 1.4× 1.1k 1.8× 226 0.7× 342 1.5× 85 0.5× 137 3.4k
Silvio Steiner Switzerland 8 1.6k 1.8× 752 1.3× 274 0.8× 224 1.0× 117 0.7× 10 2.5k
Annika Kratzel Switzerland 6 1.8k 2.0× 835 1.4× 306 0.9× 203 0.9× 117 0.7× 9 2.7k
Xintian Xu China 12 1.1k 1.3× 300 0.5× 220 0.7× 323 1.4× 62 0.4× 38 2.0k
Xianyue Wang China 9 1.3k 1.4× 442 0.8× 158 0.5× 213 0.9× 118 0.7× 13 1.9k
Yingzhu Li United States 8 1.3k 1.5× 612 1.0× 318 1.0× 105 0.5× 439 2.7× 9 2.0k

Countries citing papers authored by Hardeep Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Hardeep Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hardeep Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Hardeep Kaur. A scholar is included among the top collaborators of Hardeep Kaur 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 Hardeep Kaur. Hardeep Kaur 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
2.
Kaur, Hardeep, et al.. (2023). The U- advancement Burrow’s Flap in Persistent Tracheocutaneous Fistula. ~ Case Report. Indian Journal of Otolaryngology and Head & Neck Surgery. 75(4). 3883–3885.
3.
Kaur, Hardeep, et al.. (2022). Mucormycosis: A Possible Threat followed by COVID-19 Infection. Journal of Datta Meghe Institute of Medical Sciences University. 17(Suppl 1). S173–S174.
4.
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
5.
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
6.
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
8.
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
9.
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
10.
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
11.
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
12.
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.
Kaur, Hardeep, et al.. (2020). An overview of Barnyard millet (Echinochloa frumentacea). Journal of Pharmacognosy and Phytochemistry. 9(4). 819–822. 14 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.
Kaur, Hardeep. (2016). A Study of Caregiver Burden, General Health and Stress Resiliency among the Mothers of Children with Intellectual Disability. Indian Journal of Health and Wellbeing. 7(12). 1140–1143. 3 indexed citations
18.
Kaur, Hardeep. (2016). A Study of Mothers of Intellectually Disabled Children Participating in Special Olympics. 6(2). 136–138. 2 indexed citations
19.
Kaur, Hardeep, et al.. (2016). School Adjustment: A Comparative Study of Gender Differences among Adolescents. Indian Journal of Positive Psychology. 7(4). 466–468. 1 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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