Akhil Suresh

776 citations
20 papers · 532 indexed · h-index 10
Topics
Computational Drug Discovery Methods (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)Advancements in Transdermal Drug Delivery (4 papers)
Partner nations
IndiaAustraliaCanada

In The Last Decade

Akhil Suresh

20 papers receiving 517 citations

Peers

Akhil Suresh
Comparison fields: 5 of 93
  • Public Health, Environmental and Occupational Health 155
  • Molecular Biology 103
  • Biomaterials 97
  • Computational Theory and Mathematics 88
  • Pharmaceutical Science 82
Replace Mohammad Yousuf Ansari with:
Mohammad Yousuf Ansari India
Sharon A. Creason United States
Cristina Donini Switzerland
Jay Prakash Jain India
Ganesh Yadagiri India
Ana Gomes Portugal
Vinay Kumar Venishetty India
Subhasish Mondal India
Viney Chawla India
Jairam Meena India
Akhil Suresh relative to Mohammad Yousuf Ansari India Mohammad Yousuf Ansari's profile →
Citations per field
00.5×1.5×2.5×
Mohammad Yousuf Ansari · 1×
Citations per year

Countries citing papers authored by Akhil Suresh

Since Specialization
Citations

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

Fields of papers citing papers by Akhil Suresh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akhil Suresh

This figure shows the co-authorship network connecting the top 25 collaborators of Akhil Suresh. A scholar is included among the top collaborators of Akhil Suresh 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 Akhil Suresh. Akhil Suresh 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 4
3 1
4 2
5 52
6 9
7 71
8 33
9 48
10 10
11 30
12 47
13 2
14 4
15 9
16 7
17 18
18 25
19 9
20 149

About Akhil Suresh

Akhil Suresh is a scholar working on Pharmaceutical Science, Computational Theory and Mathematics and Infectious Diseases, having authored 20 papers that have together received 532 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Advancements in Transdermal Drug Delivery (4 papers). The work is most often cited by research in Pharmaceutical Science (82 citations), Biomaterials (97 citations) and Computational Theory and Mathematics (88 citations). Akhil Suresh has collaborated with scholars based in India, Australia and Canada. Frequent co-authors include Usha Y. Nayak, Yogendra Nayak, Chetan Hasmukh Mehta, Madhukar Rai, Shyam Sundar, Shri Prakash Singh, Henry W. Murray, Reema Narayan, Swastika Maity and Swapnil Mehta. Their work appears in journals such as Clinical Infectious Diseases, Coordination Chemistry Reviews and Carbohydrate Polymers.

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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