Mohammad Mobashir
Impact in
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 7
- RNA modifications and cancer 3
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- Ferroptosis and cancer prognosis 4
- Tracheal and airway disorders 3
- Co-authors
- Nasimul Hoda (5 shared papers)Mudasir Maqbool (4 shared papers)Etimad Huwait (1 shared paper)Anju Singh (2 shared papers)Ibraheem Ashankyty (4 shared papers)Burkhart Schraven (2 shared papers)Leena S. Alqahtani (1 shared paper)Leena H. Bajrai (4 shared papers)
- Journals
- Scientific Reports (4 papers)European Journal of Medicinal Chemistry (3 papers)Life (2 papers)Combinatorial Chemistry & High Throughput Screening (2 papers)Pharmaceutics (1 paper)
- Partner nations
- IndiaSwedenSaudi Arabia
In The Last Decade
Mohammad Mobashir
37 papers receiving 821 citations
Peers
Comparison fields: 5 of 107
- Pharmacology 58
- Computational Theory and Mathematics 101
- Pharmacology 95
- Biochemistry 35
- Biological Psychiatry 13
Countries citing papers authored by Mohammad Mobashir
This map shows the geographic impact of Mohammad Mobashir'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 Mobashir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Mobashir more than expected).
Fields of papers citing papers by Mohammad Mobashir
This network shows the impact of papers produced by Mohammad Mobashir. 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 Mobashir. The network helps show where Mohammad Mobashir may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Mobashir, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 194 | |
| 2 | 2022 | 95 | |
| 3 | 2016 | 64 | |
| 4 | 2016 | 55 | |
| 5 | 2024 | 34 | |
| 6 | 2022 | 26 | |
| 7 | 2022 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2022 | 20 | |
| 10 | 2012 | 20 | |
| 11 | 2021 | 19 | |
| 12 | 2020 | 19 | |
| 13 | 2022 | 18 | |
| 14 | 2019 | 18 | |
| 15 | 2014 | 17 | |
| 16 | 2020 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2013 | 15 | |
| 20 | 2022 | 14 |
About Mohammad Mobashir
Mohammad Mobashir is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Pharmacology and Cancer Research, having authored 39 papers that have together received 830 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Ferroptosis and cancer prognosis (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Cancer Mechanisms and Therapy (3 papers), Tracheal and airway disorders (3 papers), Computational Drug Discovery Methods (3 papers), RNA modifications and cancer (3 papers) and Neurofibromatosis and Schwannoma Cases (2 papers). The work is most often cited by research in Pharmacology (58 citations), Computational Theory and Mathematics (101 citations), Pharmacology (95 citations), Biochemistry (35 citations) and Biological Psychiatry (13 citations). Mohammad Mobashir has collaborated with scholars based in India, Sweden and Saudi Arabia. Frequent co-authors include Nasimul Hoda, Mudasir Maqbool, Etimad Huwait, Anju Singh, Ibraheem Ashankyty, Burkhart Schraven, Leena S. Alqahtani, Leena H. Bajrai, Ahmad Firoz and Mohammad Amjad Kamal. Their work appears in journals such as Scientific Reports, European Journal of Medicinal Chemistry, Life, Combinatorial Chemistry & High Throughput Screening and Pharmaceutics.
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.