Ali Masoudi‐Nejad
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Plant Science top 5%
- Cancer Research top 5%
- Artificial Intelligence top 5%
- Co-authors
- Zaynab MousavianYosef Masoudi‐SobhanzadehFalk SchreiberAli NajafiMassoud AmanlouHabib MotieGhaderKarim AbbasiSadegh Azimzadeh Jamalkandi
- Topics
- Bioinformatics and Genomic Networks (56 papers)Computational Drug Discovery Methods (31 papers)Microbial Metabolic Engineering and Bioproduction (19 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- IranHungaryUnited States
In The Last Decade
Ali Masoudi‐Nejad
158 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 170
- Molecular Biology 2.4k
- Computational Theory and Mathematics 961
- Plant Science 407
- Cancer Research 361
- Artificial Intelligence 330
Countries citing papers authored by Ali Masoudi‐Nejad
This map shows the geographic impact of Ali Masoudi‐Nejad'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 Ali Masoudi‐Nejad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Masoudi‐Nejad more than expected).
Fields of papers citing papers by Ali Masoudi‐Nejad
This network shows the impact of papers produced by Ali Masoudi‐Nejad. 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 Ali Masoudi‐Nejad. The network helps show where Ali Masoudi‐Nejad may publish in the future.
Co-authorship network of co-authors of Ali Masoudi‐Nejad
This figure shows the co-authorship network connecting the top 25 collaborators of Ali Masoudi‐Nejad. A scholar is included among the top collaborators of Ali Masoudi‐Nejad 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 Ali Masoudi‐Nejad. Ali Masoudi‐Nejad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 17 | |
| 9 | 31 | |
| 10 | 19 | |
| 11 | 17 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | Protein-Protein Interaction Network Clustering Using Particle Swarm Optimization | 1 |
| 15 | 1 | |
| 16 | 29 | |
| 17 | gpALIGNER: A Fast Algorithm for Global Pairwise Alignment of DNA Sequences | 0 |
| 18 | Mining Biological Repetitive Sequences Using Support Vector Machines and Fuzzy SVM | 7 |
| 19 | Integration and Reduction of Microarray Gene Expressions Using an Information Theory Approach | 5 |
| 20 | 25 |
About Ali Masoudi‐Nejad
Ali Masoudi‐Nejad is a scholar working on Computational Theory and Mathematics, Molecular Biology and Cancer Research, having authored 165 papers that have together received 3.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (56 papers), Computational Drug Discovery Methods (31 papers) and Microbial Metabolic Engineering and Bioproduction (19 papers). The work is most often cited by research in Computational Theory and Mathematics (961 citations), Molecular Biology (2.4k citations) and Cancer Research (361 citations). Ali Masoudi‐Nejad has collaborated with scholars based in Iran, Hungary and United States. Frequent co-authors include Zaynab Mousavian, Yosef Masoudi‐Sobhanzadeh, Falk Schreiber, Ali Najafi, Massoud Amanlou, Habib MotieGhader, Karim Abbasi, Sadegh Azimzadeh Jamalkandi, Javad Zahiri and Antti Poso. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.