Ehsan Ullah
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Immunology
- Radiology, Nuclear Medicine and Imaging
- Pathology and Forensic Medicine
- Co-authors
- Mirza Mansoor BaigHamid GholamHosseiniA. H. NagiJun LuShereen AfifiMuhammad Abdul Basit AshrafKhalid P. LoneGiovanni Russello
- Topics
- AI in cancer detection (6 papers)Mast cells and histamine (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Partner nations
- New ZealandPakistanEgypt
In The Last Decade
Ehsan Ullah
23 papers receiving 253 citations
Peers
Comparison fields: 5 of 106
- Public Health, Environmental and Occupational Health 41
- Molecular Biology 35
- Immunology 32
- Radiology, Nuclear Medicine and Imaging 29
- Pathology and Forensic Medicine 27
Countries citing papers authored by Ehsan Ullah
This map shows the geographic impact of Ehsan Ullah'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 Ehsan Ullah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Ullah more than expected).
Fields of papers citing papers by Ehsan Ullah
This network shows the impact of papers produced by Ehsan Ullah. 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 Ehsan Ullah. The network helps show where Ehsan Ullah may publish in the future.
Co-authorship network of co-authors of Ehsan Ullah
This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Ullah. A scholar is included among the top collaborators of Ehsan Ullah 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 Ehsan Ullah. Ehsan Ullah 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 15 | |
| 10 | 9 | |
| 11 | 19 | |
| 12 | 27 | |
| 13 | Efficacy of tranexamic acid in reducing blood loss during and after cesarean section | 10 |
| 14 | 6 | |
| 15 | Gestational Diabetes Mellitus and Obesity: An experience at a teaching hospital in Bahawalpur, Pakistan - | 8 |
| 16 | 21 | |
| 17 | 29 | |
| 18 | 14 | |
| 19 | 22 | |
| 20 | 14 |
About Ehsan Ullah
Ehsan Ullah is a scholar working on Health Informatics, Emergency Medical Services and Radiological and Ultrasound Technology, having authored 29 papers that have together received 270 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Mast cells and histamine (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Informatics (18 citations), Periodontics (10 citations) and Ophthalmology (19 citations). Ehsan Ullah has collaborated with scholars based in New Zealand, Pakistan and Egypt. Frequent co-authors include Mirza Mansoor Baig, Hamid GholamHosseini, A. H. Nagi, Jun Lu, Shereen Afifi, Muhammad Abdul Basit Ashraf, Khalid P. Lone, Giovanni Russello, Gillian Dobbie and Muhammad Rizwan Asghar. Their work appears in journals such as Applied Sciences, Laboratory Investigation and Archives of Pathology & Laboratory Medicine.
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.