Mohammad K. Eldomery
Impact in
-
- Cancer Genomics and Diagnostics
-
- Renal cell carcinoma treatment
- Medical Imaging and Pathology Studies
Papers in
-
- Renal and related cancers 2
- Machine Learning in Bioinformatics 1
- Protein Degradation and Inhibitors 1
-
- Genetic factors in colorectal cancer 2
- Co-authors
- Sean R. Williamson (1 shared paper)Liang Cheng (1 shared paper)Oudai Hassan (1 shared paper)Khaleel I. Al‐Obaidy (1 shared paper)Nilesh Gupta (1 shared paper)Mehdi Nassiri (1 shared paper)Wael Sakr (1 shared paper)Muhammad T. Idrees (1 shared paper)
- Journals
- Modern Pathology (1 paper)Molecular Genetics and Metabolism (1 paper)Genetics in Medicine (1 paper)American Journal of Clinical Pathology (1 paper)Neuro-Oncology (1 paper)
- Partner nations
- United States
In The Last Decade
Mohammad K. Eldomery
8 papers receiving 79 citations
Peers
Comparison fields: 5 of 26
- Cancer Research 26
- Pulmonary and Respiratory Medicine 52
- Molecular Biology 53
- Pathology and Forensic Medicine 10
- Genetics 4
Countries citing papers authored by Mohammad K. Eldomery
This map shows the geographic impact of Mohammad K. Eldomery'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 K. Eldomery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad K. Eldomery more than expected).
Fields of papers citing papers by Mohammad K. Eldomery
This network shows the impact of papers produced by Mohammad K. Eldomery. 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 K. Eldomery. The network helps show where Mohammad K. Eldomery may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad K. Eldomery, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 55 | |
| 2 | 2022 | 10 | |
| 3 | 2024 | 4 | |
| 4 | 2022 | 3 | |
| 5 | 2020 | 3 | |
| 6 | 2021 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 0 |
About Mohammad K. Eldomery
Mohammad K. Eldomery is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Genetics and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 79 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Renal and related cancers (2 papers), Genetic factors in colorectal cancer (2 papers), Renal cell carcinoma treatment (2 papers), Machine Learning in Bioinformatics (1 paper), Protein Degradation and Inhibitors (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (26 citations), Pulmonary and Respiratory Medicine (52 citations), Molecular Biology (53 citations), Pathology and Forensic Medicine (10 citations) and Genetics (4 citations). Mohammad K. Eldomery has collaborated with scholars based in United States. Frequent co-authors include Sean R. Williamson, Liang Cheng, Oudai Hassan, Khaleel I. Al‐Obaidy, Nilesh Gupta, Mehdi Nassiri, Wael Sakr, Muhammad T. Idrees, John N. Eble and David J. Grignon. Their work appears in journals such as Modern Pathology, Molecular Genetics and Metabolism, Genetics in Medicine, American Journal of Clinical Pathology and Neuro-Oncology.
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.