Dana Shahabi

701 citations
17 papers · 524 indexed · h-index 10
Topics
Multicomponent Synthesis of Heterocycles (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)Graphene research and applications (4 papers)
Partner nations
IranUnited StatesJapan

In The Last Decade

Dana Shahabi

17 papers receiving 516 citations

Peers

Dana Shahabi
Comparison fields: 5 of 88
  • Organic Chemistry 211
  • Computational Theory and Mathematics 207
  • Infectious Diseases 186
  • Molecular Biology 124
  • Materials Chemistry 73
Replace María Luisa Serrano with:
María Luisa Serrano Venezuela
R. Skyner United Kingdom
Vijay Kumar Vishvakarma India
Kamlesh Kumari India
Abhilash Jayaraj India
Osmair Vital de Oliveira Brazil
Lucia Pintilie Romania
Cristina Ventura Portugal
Md Nayeem Hossain United States
Abdul Ashik Khan India
Dana Shahabi relative to María Luisa Serrano Venezuela María Luisa Serrano's profile →
Citations per field
00.5×1.5×2.0×
María Luisa Serrano · 1×
Citations per year

Countries citing papers authored by Dana Shahabi

Since Specialization
Citations

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

Fields of papers citing papers by Dana Shahabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Shahabi

This figure shows the co-authorship network connecting the top 25 collaborators of Dana Shahabi. A scholar is included among the top collaborators of Dana Shahabi 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 Dana Shahabi. Dana Shahabi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 8
3 5
4 11
5 69
6 46
7 220
8 3
9 6
10 1
11 10
12 28
13 21
14 43
15 40
16
Synthesis of some novel and water-soluble 2,4,6-substituted 3,5- dihydroxymethylpyridines
1
17 9

About Dana Shahabi

Dana Shahabi is a scholar working on Virology, Infectious Diseases and Organic Chemistry, having authored 17 papers that have together received 524 indexed citations. Recurring topics across this work include Multicomponent Synthesis of Heterocycles (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Graphene research and applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (207 citations), Infectious Diseases (186 citations) and Organic Chemistry (211 citations). Dana Shahabi has collaborated with scholars based in Iran, United States and Japan. Frequent co-authors include Arun K. Ghosh, Hossein Tavakol, Andrew D. Mesecar, Mackenzie E. Chapman, Margherita Brindisi, Shin-ichiro Hattori, Hiroaki Mitsuya, Emma K. Lendy, Brandon J. Anson and Monika Yadav. Their work appears in journals such as The Journal of Physical Chemistry C, Journal of Medicinal Chemistry and Molecules.

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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