Mohammad A. Rafi
Impact in
- Physiology top 1%
- Lysosomal Storage Disorders Research
- Cell Biology top 2%
- Cellular transport and secretion
Papers in
- Physiology 49
- Lysosomal Storage Disorders Research 47
- Calcium signaling and nucleotide metabolism 7
- Cell Biology 13
- Cellular transport and secretion 12
- Co-authors
- David A. Wenger (45 shared papers)Paola Luzi (27 shared papers)Yadollah Omidi (9 shared papers)Mohammad Mostafa Pourseif (3 shared papers)Han Zhi Rao (8 shared papers)Jaleh Barar (3 shared papers)Mark T. Curtis (7 shared papers)Elvira Costantino‐Ceccarini (4 shared papers)
- Journals
- Molecular Genetics and Metabolism (8 papers)Bioimpacts (5 papers)Human Mutation (4 papers)Molecular Therapy (4 papers)Genomics (3 papers)
- Partner nations
- United StatesIranItaly
In The Last Decade
Mohammad A. Rafi
71 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 116
- Physiology 2.0k
- Physiology 189
- Cell Biology 672
- Neurology 282
- Developmental Neuroscience 95
Countries citing papers authored by Mohammad A. Rafi
This map shows the geographic impact of Mohammad A. Rafi'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 A. Rafi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad A. Rafi more than expected).
Fields of papers citing papers by Mohammad A. Rafi
This network shows the impact of papers produced by Mohammad A. Rafi. 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 A. Rafi. The network helps show where Mohammad A. Rafi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad A. Rafi, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 228 | |
| 2 | 2016 | 200 | |
| 3 | 1997 | 193 | |
| 4 | 2000 | 181 | |
| 5 | 1999 | 161 | |
| 6 | 2014 | 133 | |
| 7 | 1993 | 124 | |
| 8 | 1995 | 98 | |
| 9 | 2005 | 97 | |
| 10 | 2012 | 93 | |
| 11 | 2005 | 89 | |
| 12 | 1996 | 82 | |
| 13 | 1993 | 78 | |
| 14 | 1995 | 78 | |
| 15 | 1997 | 72 | |
| 16 | 1995 | 68 | |
| 17 | 2017 | 65 | |
| 18 | 2015 | 63 | |
| 19 | 1996 | 61 | |
| 20 | 2009 | 60 |
About Mohammad A. Rafi
Mohammad A. Rafi is a scholar working on Physiology, Cell Biology, Epidemiology, Physiology and Molecular Biology, having authored 71 papers that have together received 3.5k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (47 papers), Trypanosoma species research and implications (15 papers), RNA regulation and disease (13 papers), Cellular transport and secretion (12 papers), Calcium signaling and nucleotide metabolism (7 papers), Mosquito-borne diseases and control (5 papers), Virus-based gene therapy research (5 papers) and Carbohydrate Chemistry and Synthesis (5 papers). The work is most often cited by research in Physiology (2.0k citations), Physiology (189 citations), Cell Biology (672 citations), Neurology (282 citations) and Developmental Neuroscience (95 citations). Mohammad A. Rafi has collaborated with scholars based in United States, Iran and Italy. Frequent co-authors include David A. Wenger, Paola Luzi, Yadollah Omidi, Mohammad Mostafa Pourseif, Han Zhi Rao, Jaleh Barar, Mark T. Curtis, Elvira Costantino‐Ceccarini, Teresa Victoria and Sepideh Parvizpour. Their work appears in journals such as Molecular Genetics and Metabolism, Bioimpacts, Human Mutation, Molecular Therapy and Genomics.
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.