Rohit Shukla

1.6k total citations
63 papers, 938 citations indexed

About

Rohit Shukla is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Rohit Shukla has authored 63 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 9 papers in Infectious Diseases. Recurrent topics in Rohit Shukla's work include Computational Drug Discovery Methods (16 papers), Biochemical and Molecular Research (8 papers) and Enzyme Structure and Function (5 papers). Rohit Shukla is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Biochemical and Molecular Research (8 papers) and Enzyme Structure and Function (5 papers). Rohit Shukla collaborates with scholars based in India, Canada and United States. Rohit Shukla's co-authors include Timir Tripathi, Harish Shukla, Tiratha Raj Singh, Amit Sonkar, Tripti Pandey, Parismita Kalita, Rajesh Kumar Pathak, Mamta Baunthiyal, Aditya K. Padhi and Prakash Saudagar and has published in prestigious journals such as Scientific Reports, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Rohit Shukla

59 papers receiving 933 citations

Peers

Rohit Shukla
Comparison fields: 5 of 106
  • Molecular Biology 501
  • Computational Theory and Mathematics 234
  • Infectious Diseases 174
  • Organic Chemistry 90
  • Pharmacology 90
Utkarsh Raj India
Clement Agoni South Africa
Ramakrishna Vadde India
Shahzaib Ahamad India
Foysal Ahammad Saudi Arabia
Umashankar Vetrivel India
Pallavi Somvanshi India
Sumra Wajid Abbasi Pakistan
Shopnil Akash Bangladesh
Yeh Chen Taiwan
Utkarsh Raj India View profile →
Citations per field, relative to Rohit Shukla
Rohit Shukla · 1×
Citations per year, relative to Rohit Shukla
Rohit Shukla · 1×

Countries citing papers authored by Rohit Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Rohit Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohit Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Rohit Shukla. A scholar is included among the top collaborators of Rohit Shukla 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 Rohit Shukla. Rohit Shukla 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
# Work Indexed citations
1 3
2 6
3 4
4 5
5 64
6 23
7 12
8 7
9 38
10 12
11 2
12 12
13 25
14 9
15 17
16 41
17 55
18 26
19 36
20
Genotoxic impurities Evaluation in Active Pharmaceutical Ingredients (API)/ Drug Substance
1

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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