Rohitash Yadav

1.3k citations
31 papers · 934 indexed · 1 hit paper · h-index 15
Topics
Computational Drug Discovery Methods (12 papers)SARS-CoV-2 and COVID-19 Research (10 papers)Synthesis and biological activity (7 papers)

In The Last Decade

Rohitash Yadav

30 papers receiving 911 citations

Hit Papers

Role of Structural and Non-Structural Proteins and Therap...20212026202220242021100200300

Peers

Rohitash Yadav
Comparison fields: 5 of 104
  • Infectious Diseases 345
  • Molecular Biology 250
  • Organic Chemistry 245
  • Computational Theory and Mathematics 221
  • Electronic, Optical and Magnetic Materials 106
Replace Umesh Yadava with:
Umesh Yadava India
Hezekiel M. Kumalo South Africa
Fareeda Athar India
Rosmari Hörner Brazil
Mohammad Z. Ahmed Saudi Arabia
Conrad Fischer Germany
Shweta Sinha India
Karen Sargsyan Taiwan
Ayon Chakraborty India
Vishnu Nayak Badavath India
Rohitash Yadav relative to Umesh Yadava India Umesh Yadava's profile →
Citations per field
00.5×1.5×2.4×
Umesh Yadava · 1×
Citations per year

Countries citing papers authored by Rohitash Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Rohitash Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohitash Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Rohitash Yadav. A scholar is included among the top collaborators of Rohitash Yadav 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 Rohitash Yadav. Rohitash Yadav 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 3
2 19
3 9
4 14
5 25
6 6
7 3
8 12
9 9
10 9
11 45
12 37
13 56
14 23
15 5
16 35
17 43
18 92
19 14
20 0

About Rohitash Yadav

Rohitash Yadav is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 31 papers that have together received 934 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and Synthesis and biological activity (7 papers). The work is most often cited by research in Infectious Diseases (345 citations), Computational Theory and Mathematics (221 citations) and Organic Chemistry (245 citations). Rohitash Yadav has collaborated with scholars based in India, Türkiye and Saudi Arabia. Frequent co-authors include Puneet Dhamija, Shailendra Handu, Jitendra Kumar Chaudhary, Pankaj Kumar Chaudhary, İsmail Çeli̇k, Neeraj Jain, Ashish Kumar, Ambika Sharma, Y. Sheena Mary and Mohammed Imran. Their work appears in journals such as Journal of Molecular Liquids, Biomedicine & Pharmacotherapy and Cells.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026