Akram Mohammed
- Epidemiology
- Molecular Biology
- Artificial Intelligence top 10%
- Infectious Diseases
- Pulmonary and Respiratory Medicine
- Co-authors
- Rishikesan KamaleswaranRobert L. DavisChittibabu GudaFranco van WykTomáš HelikarNades PalaniyarHector R. WongEdmon Begoli
- Topics
- Sepsis Diagnosis and Treatment (7 papers)Machine Learning in Bioinformatics (4 papers)Genomics and Phylogenetic Studies (3 papers)
- Partner nations
- United StatesIndiaTanzania
In The Last Decade
Akram Mohammed
26 papers receiving 452 citations
Peers
Comparison fields: 5 of 108
- Epidemiology 157
- Molecular Biology 132
- Artificial Intelligence 93
- Infectious Diseases 58
- Pulmonary and Respiratory Medicine 49
Countries citing papers authored by Akram Mohammed
This map shows the geographic impact of Akram Mohammed'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 Akram Mohammed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akram Mohammed more than expected).
Fields of papers citing papers by Akram Mohammed
This network shows the impact of papers produced by Akram Mohammed. 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 Akram Mohammed. The network helps show where Akram Mohammed may publish in the future.
Co-authorship network of co-authors of Akram Mohammed
This figure shows the co-authorship network connecting the top 25 collaborators of Akram Mohammed. A scholar is included among the top collaborators of Akram Mohammed 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 Akram Mohammed. Akram Mohammed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 30 | |
| 10 | 49 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 10 | |
| 14 | 29 | |
| 15 | 31 | |
| 16 | 54 | |
| 17 | 9 | |
| 18 | 0 | |
| 19 | 32 | |
| 20 | 8 |
About Akram Mohammed
Akram Mohammed is a scholar working on Transplantation, Developmental Neuroscience and Epidemiology, having authored 28 papers that have together received 459 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (7 papers), Machine Learning in Bioinformatics (4 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Family Practice (25 citations), Health Informatics (14 citations) and Epidemiology (157 citations). Akram Mohammed has collaborated with scholars based in United States, India and Tanzania. Frequent co-authors include Rishikesan Kamaleswaran, Robert L. Davis, Chittibabu Guda, Franco van Wyk, Tomáš Helikar, Nades Palaniyar, Hector R. Wong, Edmon Begoli, Anahita Khojandi and Valeria R. Mas. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.