Karim Mahnam

763 total citations
61 papers, 582 citations indexed

About

Karim Mahnam is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Karim Mahnam has authored 61 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 11 papers in Organic Chemistry. Recurrent topics in Karim Mahnam's work include Computational Drug Discovery Methods (12 papers), Synthesis and biological activity (5 papers) and Protein Structure and Dynamics (5 papers). Karim Mahnam is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Synthesis and biological activity (5 papers) and Protein Structure and Dynamics (5 papers). Karim Mahnam collaborates with scholars based in Iran, Spain and United States. Karim Mahnam's co-authors include Afshin Fassihi, Mahboubeh Mansourian, Lotfollah Saghaie, Armin Madadkar‐Sobhani, Saghi Sepehri, Nima Razzaghi‐Asl, Mohsen Shahlaei, Ali Akbar Moosavi‐Movahedi, Abolfazl Barzegar and Alireza Mansouri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and FEBS Letters.

In The Last Decade

Karim Mahnam

60 papers receiving 579 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karim Mahnam Iran 15 279 111 93 59 51 61 582
Avinash Kumar India 14 242 0.9× 121 1.1× 139 1.5× 70 1.2× 38 0.7× 48 528
Yuno Lee South Korea 17 482 1.7× 74 0.7× 122 1.3× 43 0.7× 59 1.2× 56 717
Matthew L. Danielson United States 7 354 1.3× 135 1.2× 168 1.8× 58 1.0× 59 1.2× 7 737
Raj Kumar Mongre South Korea 16 339 1.2× 110 1.0× 59 0.6× 96 1.6× 82 1.6× 36 737
Rodrigo Aguayo‐Ortiz Mexico 17 442 1.6× 155 1.4× 101 1.1× 50 0.8× 37 0.7× 64 775
Luciano Porto Kagami Brazil 12 253 0.9× 175 1.6× 93 1.0× 59 1.0× 28 0.5× 23 561
Gugan Kothandan India 14 292 1.0× 117 1.1× 148 1.6× 48 0.8× 114 2.2× 53 598
Surovi Saikia India 9 249 0.9× 74 0.7× 135 1.5× 58 1.0× 31 0.6× 21 526
Roberto Parise‐Filho Brazil 17 315 1.1× 201 1.8× 79 0.8× 77 1.3× 51 1.0× 42 782
Angshuman Bagchi India 15 495 1.8× 82 0.7× 70 0.8× 43 0.7× 62 1.2× 108 833

Countries citing papers authored by Karim Mahnam

Since Specialization
Citations

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

Fields of papers citing papers by Karim Mahnam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karim Mahnam

This figure shows the co-authorship network connecting the top 25 collaborators of Karim Mahnam. A scholar is included among the top collaborators of Karim Mahnam 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 Karim Mahnam. Karim Mahnam 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
1.
Mahnam, Karim, et al.. (2025). Improving the antimicrobial activity of RP9 peptide through theoretical and experimental investigation. Biochemistry and Biophysics Reports. 41. 101953–101953. 1 indexed citations
2.
Mahnam, Karim, et al.. (2025). Design and development of anticancer peptide-conjugated daunorubicin: Smart targeting systems for multidrug resistance gastric cancer cells. Computers in Biology and Medicine. 198(Pt B). 111258–111258. 1 indexed citations
3.
Khanahmad, Hossein, et al.. (2024). Designing a multi-epitope influenza vaccine: an immunoinformatics approach. Scientific Reports. 14(1). 25382–25382. 2 indexed citations
4.
Mohammadi, Marjan, Seyyed Hossein Khatami, Hessam Sepasi Tehrani, et al.. (2024). Lysine ε-aminolysis and incorporation of sulfhydryl groups into human brain tau 4R/1N and 306VQIVYK311 enhances the formation of beta structures and toxicity. International Journal of Biological Macromolecules. 263(Pt 1). 130223–130223. 1 indexed citations
5.
Mahnam, Karim, et al.. (2023). Evolutionary trajectories of beta-lactamase NDM and DLST cluster in Pseudomonas aeruginosa : finding the putative ancestor. Pathogens and Global Health. 118(2). 170–181. 2 indexed citations
6.
Razzaghi‐Asl, Nima, et al.. (2022). In silico screening and molecular dynamics simulations toward new human papillomavirus 16 type inhibitors. Research in Pharmaceutical Sciences. 17(2). 189–208. 10 indexed citations
7.
Mahnam, Karim, et al.. (2021). Finding a prospective dual-target drug for the treatment of coronavirus disease by theoretical study. Journal of Biomolecular Structure and Dynamics. 40(23). 12621–12641. 1 indexed citations
8.
Barzegar, Abolfazl, et al.. (2021). Absorption of daunorubicin and etoposide drugs by hydroxylated and carboxylated carbon nanotube for drug delivery: theoretical and experimental studies. Journal of Biomolecular Structure and Dynamics. 40(20). 10057–10064. 14 indexed citations
9.
10.
Mahnam, Karim, et al.. (2021). Discovery of potential inhibitors against New Delhi metallo-β-lactamase-1 from natural compounds: in silico-based methods. Scientific Reports. 11(1). 2390–2390. 26 indexed citations
11.
12.
Mohammadi, Elmira, et al.. (2019). Reteplase: Structure, Function, and Production. SHILAP Revista de lepidopterología. 8(1). 19–19. 21 indexed citations
13.
Mahnam, Karim, et al.. (2018). Computational comparison of two new fusion proteins for multiple sclerosis. Research in Pharmaceutical Sciences. 13(5). 394–394. 5 indexed citations
14.
Mahnam, Karim, et al.. (2017). Molecular Dynamics and Docking Investigations of Several Zoanthamine-Type Marine Alkaloids as Matrix Metaloproteinase-1 Inhibitors.. PubMed. 16(1). 173–186. 10 indexed citations
15.
Soleimani, Meysam, Karim Mahnam, M. Hamid, Hojjat Sadeghi‐Aliabadi, & Ali Jahanian‐Najafabadi. (2016). Theoretical design of a new chimeric protein for the treatment of breast cancer.. PubMed. 11(3). 187–99. 15 indexed citations
16.
Mahmoudzadeh, Mohammad, Afshin Fassihi, Farid Abedin Dorkoosh, et al.. (2015). Elucidation of Molecular Mechanisms Behind the Self-Assembly Behavior of Chitosan Amphiphilic Derivatives Through Experiment and Molecular Modeling. Pharmaceutical Research. 32(12). 3899–3915. 10 indexed citations
17.
Karima, Saeed, Gholam Hossein Riazi, Reza Yousefi, et al.. (2012). An in vitro study of the role of β‐boswellic acid in the microtubule assembly dynamics. FEBS Letters. 586(23). 4132–4138. 16 indexed citations
18.
Shahlaei, Mohsen, Armin Madadkar‐Sobhani, Karim Mahnam, et al.. (2010). Homology modeling of human CCR5 and analysis of its binding properties through molecular docking and molecular dynamics simulation. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1808(3). 802–817. 63 indexed citations
19.
Ajloo, Davood, et al.. (2008). Effects of surfactant, salt and solvent on the structure and activity of adenosine deaminase: Molecular dynamic and spectrophotometric studies. International Journal of Biological Macromolecules. 43(2). 151–158. 10 indexed citations
20.
Ajloo, Davood, et al.. (2007). Kinetic, thermodynamic and statistical studies on the inhibition of adenosine deaminase by aspirin and diclofenac. Journal of Enzyme Inhibition and Medicinal Chemistry. 22(4). 395–406. 22 indexed citations

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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