Mohammad Taghi Ashoobi
- Co-authors
- Arsalan SalariSoheil HassanipourMohammad FathalipourMahdi MalakoutikhahHamed DelamAfshin ShafaghiHossein HemmatiHossein‐Ali Nikbakht
- Topics
- Diabetic Foot Ulcer Assessment and Management (4 papers)Colorectal Cancer Screening and Detection (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IranAzerbaijanItaly
In The Last Decade
Mohammad Taghi Ashoobi
29 papers receiving 225 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Surgery 44
- Molecular Biology 38
- Pulmonary and Respiratory Medicine 38
- Oncology 32
- Artificial Intelligence 23
Countries citing papers authored by Mohammad Taghi Ashoobi
This map shows the geographic impact of Mohammad Taghi Ashoobi'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 Taghi Ashoobi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Taghi Ashoobi more than expected).
Fields of papers citing papers by Mohammad Taghi Ashoobi
This network shows the impact of papers produced by Mohammad Taghi Ashoobi. 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 Taghi Ashoobi. The network helps show where Mohammad Taghi Ashoobi may publish in the future.
Co-authorship network of co-authors of Mohammad Taghi Ashoobi
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Taghi Ashoobi. A scholar is included among the top collaborators of Mohammad Taghi Ashoobi 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 Mohammad Taghi Ashoobi. Mohammad Taghi Ashoobi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | Cardiovascular disease diagnosis: a holistic approach using the integration of machine learning and deep learning modelsbreakdown → | 41 |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 8 | |
| 18 | 42 | |
| 19 | 8 | |
| 20 | 16 |
About Mohammad Taghi Ashoobi
Mohammad Taghi Ashoobi is a scholar working on Medical Laboratory Technology, Health Information Management and Gastroenterology, having authored 33 papers that have together received 230 indexed citations. Recurring topics across this work include Diabetic Foot Ulcer Assessment and Management (4 papers), Colorectal Cancer Screening and Detection (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Health Informatics (5 citations), Health Information Management (11 citations) and Molecular Medicine (11 citations). Mohammad Taghi Ashoobi has collaborated with scholars based in Iran, Azerbaijan and Italy. Frequent co-authors include Arsalan Salari, Soheil Hassanipour, Mohammad Fathalipour, Mahdi Malakoutikhah, Hamed Delam, Afshin Shafaghi, Hossein Hemmati, Hossein‐Ali Nikbakht, Fariborz Mansour‐Ghanaei and Hamid Salehiniya. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.