Shiv Bharadwaj

2.2k citations
47 papers · 1.6k indexed · h-index 21
Topics
Computational Drug Discovery Methods (12 papers)SARS-CoV-2 and COVID-19 Research (6 papers)Mosquito-borne diseases and control (5 papers)
Partner nations
IndiaSouth KoreaTürkiye

In The Last Decade

Shiv Bharadwaj

46 papers receiving 1.6k citations

Peers

Shiv Bharadwaj
Comparison fields: 5 of 129
  • Molecular Biology 448
  • Infectious Diseases 398
  • Computational Theory and Mathematics 335
  • Public Health, Environmental and Occupational Health 230
  • Organic Chemistry 173
Replace Brijesh Rathi with:
Brijesh Rathi India
Sang Gu Kang South Korea
Sankaranarayanan Murugesan India
Rupesh V. Chikhale India
Mubarak A. Alamri Saudi Arabia
Mahmoud Kandeel Egypt
Soroush Sardari Iran
Mariam S. Degani India
Khaled S. Allemailem Saudi Arabia
Vijay Kumar Bhardwaj India
Shiv Bharadwaj relative to Brijesh Rathi India Brijesh Rathi's profile →
Citations per field
00.5×1.5×
Brijesh Rathi · 1×
Citations per year

Countries citing papers authored by Shiv Bharadwaj

Since Specialization
Citations

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

Fields of papers citing papers by Shiv Bharadwaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiv Bharadwaj

This figure shows the co-authorship network connecting the top 25 collaborators of Shiv Bharadwaj. A scholar is included among the top collaborators of Shiv Bharadwaj 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 Shiv Bharadwaj. Shiv Bharadwaj 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
#WorkIndexed citations
1 2
2 10
3 2
4 3
5 7
6 15
7 3
8 28
9 27
10 107
11 35
12 49
13 22
14 35
15 41
16 121
17 188
18 16
19 89
20 17

About Shiv Bharadwaj

Shiv Bharadwaj is a scholar working on Computational Theory and Mathematics, Biochemistry and Physiology, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Infectious Diseases (398 citations), Computational Theory and Mathematics (335 citations) and Pharmacology (117 citations). Shiv Bharadwaj has collaborated with scholars based in India, South Korea and Türkiye. Frequent co-authors include Sang Gu Kang, Vivek Dhar Dwivedi, Umesh Yadava, Kyung Eun Lee, Nikhil Kirtipal, Sarad Kumar Mishra, Amit Dubey, Mahendra Singh, Aman Chandra Kaushik and Amaresh Kumar Sahoo. Their work appears in journals such as PLoS ONE, Scientific Reports and Chemical Engineering Journal.

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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