Mohammad Hassan Baig
- Molecular Biology top 5%
- Materials Chemistry top 10%
- Oncology top 5%
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 5%
- Co-authors
- Khurshid AhmadEun Ju LeeGulam RabbaniInho ChoiMohammad Amjad KamalSibhghatulla ShaikhSyed Mohd Danish RizviNazia Nazam
- Topics
- Computational Drug Discovery Methods (17 papers)Antibiotic Resistance in Bacteria (7 papers)Cholinesterase and Neurodegenerative Diseases (7 papers)
- Partner nations
- South KoreaIndiaSaudi Arabia
In The Last Decade
Mohammad Hassan Baig
83 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 1.9k
- Materials Chemistry 529
- Oncology 500
- Computational Theory and Mathematics 489
- Organic Chemistry 434
Countries citing papers authored by Mohammad Hassan Baig
This map shows the geographic impact of Mohammad Hassan Baig'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 Mohammad Hassan Baig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Hassan Baig more than expected).
Fields of papers citing papers by Mohammad Hassan Baig
This network shows the impact of papers produced by Mohammad Hassan Baig. 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 Mohammad Hassan Baig. The network helps show where Mohammad Hassan Baig may publish in the future.
Co-authorship network of co-authors of Mohammad Hassan Baig
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Hassan Baig. A scholar is included among the top collaborators of Mohammad Hassan Baig 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 Mohammad Hassan Baig. Mohammad Hassan Baig 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 | 18 | |
| 3 | 6 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | 18 | |
| 7 | 14 | |
| 8 | 66 | |
| 9 | 13 | |
| 10 | 30 | |
| 11 | 7 | |
| 12 | 251 | |
| 13 | 28 | |
| 14 | 54 | |
| 15 | 34 | |
| 16 | 33 | |
| 17 | 65 | |
| 18 | 20 | |
| 19 | 66 | |
| 20 | 94 |
About Mohammad Hassan Baig
Mohammad Hassan Baig is a scholar working on Molecular Medicine, Computational Theory and Mathematics and Infectious Diseases, having authored 84 papers that have together received 3.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Antibiotic Resistance in Bacteria (7 papers) and Cholinesterase and Neurodegenerative Diseases (7 papers). The work is most often cited by research in Computational Theory and Mathematics (489 citations), Molecular Biology (1.9k citations) and Molecular Medicine (116 citations). Mohammad Hassan Baig has collaborated with scholars based in South Korea, India and Saudi Arabia. Frequent co-authors include Khurshid Ahmad, Eun Ju Lee, Gulam Rabbani, Inho Choi, Inho Choi, Mohammad Amjad Kamal, Sibhghatulla Shaikh, Syed Mohd Danish Rizvi, Nazia Nazam and Arif Tasleem Jan. Their work appears in journals such as Bioinformatics, PLoS ONE and Cancer Research.
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.