Shaban Ahmad

1.5k citations
48 papers · 798 indexed · h-index 19
Topics
Computational Drug Discovery Methods (18 papers)Synthesis and biological activity (10 papers)SARS-CoV-2 and COVID-19 Research (7 papers)
Partner nations
IndiaSaudi ArabiaChina

In The Last Decade

Shaban Ahmad

44 papers receiving 790 citations

Peers

Shaban Ahmad
Comparison fields: 5 of 90
  • Molecular Biology 410
  • Computational Theory and Mathematics 369
  • Organic Chemistry 182
  • Oncology 115
  • Pulmonary and Respiratory Medicine 98
Replace Carmen Cerchia with:
Carmen Cerchia Italy
Adnane Aouidate Morocco
Philip Prathipati India
Matthew P. Baumgartner United States
Sajda Ashraf Pakistan
Teresa Krieger-Burke United States
Gautier Moroy France
Clement Agoni South Africa
Jianlong Peng China
Shaban Ahmad relative to Carmen Cerchia Italy Carmen Cerchia's profile →
Citations per field
00.5×7.5×
Carmen Cerchia · 1×
Citations per year

Countries citing papers authored by Shaban Ahmad

Since Specialization
Citations

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

Fields of papers citing papers by Shaban Ahmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaban Ahmad

This figure shows the co-authorship network connecting the top 25 collaborators of Shaban Ahmad. A scholar is included among the top collaborators of Shaban Ahmad 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 Shaban Ahmad. Shaban Ahmad 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 2
3 0
4 4
5 14
6 1
7 21
8 17
9 21
10 16
11 3
12 21
13 39
14 52
15 12
16 54
17 30
18 35
19 20
20
A switching based PID technique for blood glucose control
1

About Shaban Ahmad

Shaban Ahmad is a scholar working on Computational Theory and Mathematics, Toxicology and Pharmacology, having authored 48 papers that have together received 798 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Synthesis and biological activity (10 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). The work is most often cited by research in Computational Theory and Mathematics (369 citations), Toxicology (37 citations) and Microbiology (7 citations). Shaban Ahmad has collaborated with scholars based in India, Saudi Arabia and China. Frequent co-authors include Khalid Raza, Manoj Kumar Yadav, Hemant K. Gautam, Mutaib M. Mashraqi, Ahmad Alzamami, Norah A. Alturki, Saleh Alshamrani, Youssef Saeed Alghamdi, Vijay Singh and Sahar Qazi. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

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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