Hatem Q. Makhdoom
- Infectious Diseases top 0.5%
- Modeling and Simulation top 0.2%
- Animal Science and Zoology top 1%
- Epidemiology top 10%
- Neurology top 5%
- Co-authors
- Ziad A. MemishAbdullah M. AssiriJaffar A. Al‐TawfiqRafat F. AlhakeemAlimuddin ZumlaAli AlbarrakFahad AlrabiahAbdullah A Al-Rabeeah
- Topics
- SARS-CoV-2 and COVID-19 Research (9 papers)Viral gastroenteritis research and epidemiology (3 papers)COVID-19 Clinical Research Studies (3 papers)
- Journals
- New England Journal of MedicineThe Journal of Infectious DiseasesThe Lancet Infectious Diseases
- Partner nations
- Saudi ArabiaUnited KingdomUnited States
In The Last Decade
Hatem Q. Makhdoom
9 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Infectious Diseases 2.3k
- Modeling and Simulation 693
- Animal Science and Zoology 490
- Epidemiology 448
- Neurology 320
Countries citing papers authored by Hatem Q. Makhdoom
This map shows the geographic impact of Hatem Q. Makhdoom'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 Hatem Q. Makhdoom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hatem Q. Makhdoom more than expected).
Fields of papers citing papers by Hatem Q. Makhdoom
This network shows the impact of papers produced by Hatem Q. Makhdoom. 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 Hatem Q. Makhdoom. The network helps show where Hatem Q. Makhdoom may publish in the future.
Co-authorship network of co-authors of Hatem Q. Makhdoom
This figure shows the co-authorship network connecting the top 25 collaborators of Hatem Q. Makhdoom. A scholar is included among the top collaborators of Hatem Q. Makhdoom 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 Hatem Q. Makhdoom. Hatem Q. Makhdoom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 117 | |
| 3 | 102 | |
| 4 | 91 | |
| 5 | 268 | |
| 6 | 128 | |
| 7 | 198 | |
| 8 | Epidemiological, demographic, and clinical characteristics of 47 cases of Middle East respiratory syndrome coronavirus disease from Saudi Arabia: a descriptive studybreakdown → | 1048 |
| 9 | Hospital Outbreak of Middle East Respiratory Syndrome Coronavirusbreakdown → | 892 |
About Hatem Q. Makhdoom
Hatem Q. Makhdoom is a scholar working on Infectious Diseases, Health and Modeling and Simulation, having authored 9 papers that have together received 2.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Viral gastroenteritis research and epidemiology (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Modeling and Simulation (693 citations), Infectious Diseases (2.3k citations) and Animal Science and Zoology (490 citations). Hatem Q. Makhdoom has collaborated with scholars based in Saudi Arabia, United Kingdom and United States. Frequent co-authors include Ziad A. Memish, Abdullah M. Assiri, Jaffar A. Al‐Tawfiq, Rafat F. Alhakeem, Alimuddin Zumla, Ali Albarrak, Fahad Alrabiah, Abdullah A Al-Rabeeah, Hanan H. Balkhy and Matthew Cotten. Their work appears in journals such as New England Journal of Medicine, The Journal of Infectious Diseases and The Lancet Infectious Diseases.
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.