Ali Ghulam
Impact in
-
- Computational Drug Discovery Methods
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Machine Learning in Bioinformatics 16
- vaccines and immunoinformatics approaches 6
- Bioinformatics and Genomic Networks 5
- Glycosylation and Glycoproteins Research 3
- Gene expression and cancer classification 3
-
- Computational Drug Discovery Methods 6
- Co-authors
- Farman Ali (7 shared papers)Ahsanullah Unar (4 shared papers)Shahid Akbar (1 shared paper)Shruti Patil (1 shared paper)Ashfaq Ahmad (2 shared papers)Aftab Ahmed (1 shared paper)Muhammad Arif (4 shared papers)Zar Nawab Khan Swati (3 shared papers)
- Journals
- Chemometrics and Intelligent Laboratory Systems (2 papers)IET Systems Biology (2 papers)Frontiers in Genetics (2 papers)Journal of Trace Elements in Medicine and Biology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Ali Ghulam
27 papers receiving 388 citations
Peers
Comparison fields: 5 of 82
- Computational Theory and Mathematics 89
- Microbiology 32
- Health Information Management 20
- Molecular Biology 261
- Aquatic Science 10
Countries citing papers authored by Ali Ghulam
This map shows the geographic impact of Ali Ghulam'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 Ghulam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Ghulam more than expected).
Fields of papers citing papers by Ali Ghulam
This network shows the impact of papers produced by Ali Ghulam. 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 Ghulam. The network helps show where Ali Ghulam may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Ghulam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 72 | |
| 2 | 2022 | 63 | |
| 3 | 2022 | 58 | |
| 4 | 2021 | 28 | |
| 5 | 2022 | 22 | |
| 6 | 2024 | 19 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 3 |
About Ali Ghulam
Ali Ghulam is a scholar working on Molecular Biology, Computational Theory and Mathematics, Computer Networks and Communications, Spectroscopy and General Health Professions, having authored 32 papers that have together received 392 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (16 papers), Computational Drug Discovery Methods (6 papers), vaccines and immunoinformatics approaches (6 papers), Bioinformatics and Genomic Networks (5 papers), Glycosylation and Glycoproteins Research (3 papers), Gene expression and cancer classification (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Computational Theory and Mathematics (89 citations), Microbiology (32 citations), Health Information Management (20 citations), Molecular Biology (261 citations) and Aquatic Science (10 citations). Ali Ghulam has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Farman Ali, Ahsanullah Unar, Shahid Akbar, Shruti Patil, Ashfaq Ahmad, Aftab Ahmed, Muhammad Arif, Zar Nawab Khan Swati, Tanvir Alam and Hongya Wang. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, IET Systems Biology, Frontiers in Genetics, Journal of Trace Elements in Medicine and Biology and BMC 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.