Mushal Allam
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in
-
- Antimicrobial Resistance in Staphylococcus 12
-
- Antibiotic Resistance in Bacteria 28
- Co-authors
- Arshad Ismail (71 shared papers)Sabiha Y. Essack (28 shared papers)Daniel G. Amoako (16 shared papers)Luria Leslie Founou (11 shared papers)Raspail Carrel Founou (11 shared papers)Akebe Luther King Abia (11 shared papers)Nomsa P. Tau (4 shared papers)Anthony M. Smith (5 shared papers)
- Journals
- Pathogens (5 papers)Scientific Reports (4 papers)Frontiers in Microbiology (3 papers)Antibiotics (3 papers)Viruses (3 papers)
- Partner nations
- South AfricaUnited Arab EmiratesUnited States
In The Last Decade
Mushal Allam
94 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Molecular Medicine 315
- Endocrinology 166
- Applied Microbiology and Biotechnology 43
- Biotechnology 172
- Pollution 153
Countries citing papers authored by Mushal Allam
This map shows the geographic impact of Mushal Allam'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 Mushal Allam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mushal Allam more than expected).
Fields of papers citing papers by Mushal Allam
This network shows the impact of papers produced by Mushal Allam. 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 Mushal Allam. The network helps show where Mushal Allam may publish in the future.
Co-authors
The 25 scholars most cited alongside Mushal Allam, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 147 | |
| 2 | 2019 | 52 | |
| 3 | 2021 | 50 | |
| 4 | 2020 | 44 | |
| 5 | 2018 | 42 | |
| 6 | 2021 | 41 | |
| 7 | 2019 | 37 | |
| 8 | 2018 | 36 | |
| 9 | 2019 | 31 | |
| 10 | 2020 | 30 | |
| 11 | 2021 | 29 | |
| 12 | 2022 | 28 | |
| 13 | 2022 | 23 | |
| 14 | 2017 | 22 | |
| 15 | 2017 | 18 | |
| 16 | 2018 | 18 | |
| 17 | 2019 | 17 | |
| 18 | 2017 | 17 | |
| 19 | 2016 | 17 | |
| 20 | 2018 | 15 |
About Mushal Allam
Mushal Allam is a scholar working on Infectious Diseases, Molecular Medicine, Molecular Biology, Epidemiology and Endocrinology, having authored 100 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (28 papers), Bacterial Identification and Susceptibility Testing (13 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Bacterial biofilms and quorum sensing (10 papers), Mycobacterium research and diagnosis (9 papers), Vibrio bacteria research studies (8 papers), Bacteriophages and microbial interactions (8 papers) and Escherichia coli research studies (7 papers). The work is most often cited by research in Molecular Medicine (315 citations), Endocrinology (166 citations), Applied Microbiology and Biotechnology (43 citations), Biotechnology (172 citations) and Pollution (153 citations). Mushal Allam has collaborated with scholars based in South Africa, United Arab Emirates and United States. Frequent co-authors include Arshad Ismail, Sabiha Y. Essack, Daniel G. Amoako, Luria Leslie Founou, Raspail Carrel Founou, Akebe Luther King Abia, Nomsa P. Tau, Anthony M. Smith, Juno Thomas and Shannon L. Smouse. Their work appears in journals such as Pathogens, Scientific Reports, Frontiers in Microbiology, Antibiotics and Viruses.
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.