Misagh Naderi

20 papers receiving 395 citations

Peers

Misagh Naderi
Comparison fields: 5 of 84
  • Computational Theory and Mathematics 194
  • Health Informatics 10
  • Virology 20
  • Epidemiology 91
  • Molecular Biology 174
Replace Lokesh P. Tripathi with:
Lokesh P. Tripathi Japan
Yan Quan Lee Singapore
Rajiv Gandhi Govindaraj South Korea
Francis E. Agamah South Africa
Romana Ishrat India
Sumit Mukherjee Israel
Christian Studer Switzerland
Stephanie Portelli Australia
Grennady Wirjanata United Kingdom
Arash Keshavarzi Arshadi United States
Misagh Naderi relative to Lokesh P. Tripathi Japan Lokesh P. Tripathi's profile →
Citations per field
00.5×
Lokesh P. Tripathi · 1×
Citations per year

Countries citing papers authored by Misagh Naderi

Since Specialization
Citations

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

Fields of papers citing papers by Misagh Naderi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Misagh Naderi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Misagh Naderi Line = papers co-authored together Misagh Naderi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2019122
2 201748
3 201837
4 201625
5 201825
6 201524
7 201321
8 201219
9 201814
10 201713
11 201611
12
Effect of acidic environment on the push-out bond strength of calcium-enriched mixture cement.
201411
13 20179
14 20209
15 20198
16 20195
17
ADAPTIVE CONTROL OF THE WHEELED MOBILE ROBOTS' DYNAMIC MODEL WITH REGARD TO THE LIMITATION OF INPUT TORQUES
20171
18 20241
19 20141
20
Progress in Computer-Aided Drug Design
20161

About Misagh Naderi

Misagh Naderi is a scholar working on Computational Theory and Mathematics, Epidemiology, Molecular Biology, Immunology and Virology, having authored 20 papers that have together received 405 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Herpesvirus Infections and Treatments (7 papers), Cytomegalovirus and herpesvirus research (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), HIV Research and Treatment (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (194 citations), Health Informatics (10 citations), Virology (20 citations), Epidemiology (91 citations) and Molecular Biology (174 citations). Misagh Naderi has collaborated with scholars based in United States, Iran and South Korea. Frequent co-authors include Michał Bryliński, Supratik Mukhopadhyay, Tairan Liu, Limeng Pu, Hsiao‐Chun Wu, Rajiv Gandhi Govindaraj, Konstantin G. Kousoulas, Vladimir N. Chouljenko, Wei P. Feinstein and Paul J. F. Rider. Their work appears in journals such as Journal of Virology, Scientific Reports, Journal of Chemical Information and Modeling, Virology Journal and Journal of Cheminformatics.

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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