Hamed Goodarzi
- Infectious Diseases top 10%
- Molecular Biology
- Surgery
- Epidemiology
- Molecular Medicine top 10%
- Co-authors
- Azar Dokht KhosraviMansour AminMohammad Jaafar YadyadAhmad Farajzadeh SheikhMohammad HashemzadehSeyed Mohammad AlaviTahereh NavidifarReza Ranjbar
- Topics
- Mycobacterium research and diagnosis (6 papers)Tuberculosis Research and Epidemiology (6 papers)Antibiotic Resistance in Bacteria (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of Obstetrics and GynecologyAtmospheric Environment
In The Last Decade
Hamed Goodarzi
27 papers receiving 463 citations
Peers
Comparison fields: 5 of 84
- Infectious Diseases 177
- Molecular Biology 134
- Surgery 133
- Epidemiology 117
- Molecular Medicine 70
Countries citing papers authored by Hamed Goodarzi
This map shows the geographic impact of Hamed Goodarzi'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 Hamed Goodarzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamed Goodarzi more than expected).
Fields of papers citing papers by Hamed Goodarzi
This network shows the impact of papers produced by Hamed Goodarzi. 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 Hamed Goodarzi. The network helps show where Hamed Goodarzi may publish in the future.
Co-authorship network of co-authors of Hamed Goodarzi
This figure shows the co-authorship network connecting the top 25 collaborators of Hamed Goodarzi. A scholar is included among the top collaborators of Hamed Goodarzi 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 Hamed Goodarzi. Hamed Goodarzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | 0 | |
| 4 | 27 | |
| 5 | 31 | |
| 6 | 2 | |
| 7 | 27 | |
| 8 | 29 | |
| 9 | 33 | |
| 10 | 4 | |
| 11 | 25 | |
| 12 | 20 | |
| 13 | 25 | |
| 14 | 15 | |
| 15 | 29 | |
| 16 | Application of Deletion- Targeted Multiplex PCR technique for detection of Mycobacterium tuberculosis Beijing strains in samples from tuberculosis patients | 11 |
| 17 | 6 | |
| 18 | 65 | |
| 19 | 17 | |
| 20 | 9 |
About Hamed Goodarzi
Hamed Goodarzi is a scholar working on Molecular Medicine, Endocrinology and Infectious Diseases, having authored 29 papers that have together received 475 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (6 papers), Tuberculosis Research and Epidemiology (6 papers) and Antibiotic Resistance in Bacteria (6 papers). The work is most often cited by research in Molecular Medicine (70 citations), Endocrinology (51 citations) and Infectious Diseases (177 citations). Hamed Goodarzi has collaborated with scholars based in Iran and China. Frequent co-authors include Azar Dokht Khosravi, Mansour Amin, Mohammad Jaafar Yadyad, Ahmad Farajzadeh Sheikh, Mohammad Hashemzadeh, Seyed Mohammad Alavi, Tahereh Navidifar, Reza Ranjbar, Seyed Sajjad Khoramrooz and Enayatollah Kalantar. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Obstetrics and Gynecology and Atmospheric Environment.
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.