Hamed Akbari
- Infectious Diseases top 5%
- Molecular Biology
- Neurology top 10%
- Epidemiology
- Oncology
- Co-authors
- Reza TabriziGholamreza AsadikaramKamran Bagheri LankaraniSina VakiliMoslem AbolhassaniHamid AriaMohammad Hadi NematollahiPeyman Nowrouzi‐Sohrabi
- Topics
- COVID-19 Clinical Research Studies (6 papers)Diet and metabolism studies (3 papers)Epigenetics and DNA Methylation (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONELife Sciences
- Partner nations
- IranCanadaNetherlands
In The Last Decade
Hamed Akbari
45 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 120
- Infectious Diseases 322
- Molecular Biology 185
- Neurology 185
- Epidemiology 129
- Oncology 94
Countries citing papers authored by Hamed Akbari
This map shows the geographic impact of Hamed Akbari'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 Akbari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamed Akbari more than expected).
Fields of papers citing papers by Hamed Akbari
This network shows the impact of papers produced by Hamed Akbari. 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 Akbari. The network helps show where Hamed Akbari may publish in the future.
Co-authorship network of co-authors of Hamed Akbari
This figure shows the co-authorship network connecting the top 25 collaborators of Hamed Akbari. A scholar is included among the top collaborators of Hamed Akbari 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 Akbari. Hamed Akbari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 28 | |
| 6 | 24 | |
| 7 | 5 | |
| 8 | Association Between Cognitive Impairment and Blood Pressure Among Patients with Type II Diabetes Mellitus in Southern Iran | 1 |
| 9 | 65 | |
| 10 | 223 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 28 | |
| 16 | 17 | |
| 17 | 71 | |
| 18 | 21 | |
| 19 | 31 | |
| 20 | DETERMINATION OF NANOFILTRATION EFFICENCY IN ARSENIC REMOVAL FROM DRINKING WATER | 21 |
About Hamed Akbari
Hamed Akbari is a scholar working on Medical Laboratory Technology, Clinical Biochemistry and Physiology, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Diet and metabolism studies (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Infectious Diseases (322 citations), Neurology (185 citations) and Obstetrics and Gynecology (66 citations). Hamed Akbari has collaborated with scholars based in Iran, Canada and Netherlands. Frequent co-authors include Reza Tabrizi, Gholamreza Asadikaram, Kamran Bagheri Lankarani, Sina Vakili, Moslem Abolhassani, Hamid Aria, Mohammad Hadi Nematollahi, Peyman Nowrouzi‐Sohrabi, Seyyed Mohammad Amin Kashani and Shahla Rezaei. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Life Sciences.
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.