Parnian Jamshidi
- Infectious Diseases top 10%
- Molecular Biology
- Neurology top 10%
- Epidemiology
- Surgery
- Co-authors
- Mohammad Javad NasiriMahta ArbabiYeganeh FarsiMehdi MirsaeidiAzin TahvildariLeonardo A. SechiMukunthan MurthiSara Haddadi
- Topics
- COVID-19 Clinical Research Studies (3 papers)Dermatological and COVID-19 studies (3 papers)Long-Term Effects of COVID-19 (3 papers)
- Journals
- International Journal of Molecular SciencesHealth and Quality of Life OutcomesFrontiers in Cellular and Infection Microbiology
- Partner nations
- IranUnited StatesItaly
In The Last Decade
Parnian Jamshidi
16 papers receiving 436 citations
Peers
Comparison fields: 5 of 89
- Infectious Diseases 206
- Molecular Biology 123
- Neurology 118
- Epidemiology 49
- Surgery 42
Countries citing papers authored by Parnian Jamshidi
This map shows the geographic impact of Parnian Jamshidi'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 Parnian Jamshidi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parnian Jamshidi more than expected).
Fields of papers citing papers by Parnian Jamshidi
This network shows the impact of papers produced by Parnian Jamshidi. 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 Parnian Jamshidi. The network helps show where Parnian Jamshidi may publish in the future.
Co-authorship network of co-authors of Parnian Jamshidi
This figure shows the co-authorship network connecting the top 25 collaborators of Parnian Jamshidi. A scholar is included among the top collaborators of Parnian Jamshidi 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 Parnian Jamshidi. Parnian Jamshidi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 14 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | 22 | |
| 7 | 54 | |
| 8 | 40 | |
| 9 | 112 | |
| 10 | 10 | |
| 11 | 20 | |
| 12 | 42 | |
| 13 | 37 | |
| 14 | 6 | |
| 15 | 70 | |
| 16 | The Effects of Glyceryl Trinitrate Patch on the Treatment of Preterm Labor: A Single-blind Randomized Clinical Trial. | 2 |
About Parnian Jamshidi
Parnian Jamshidi is a scholar working on Dermatology, Infectious Diseases and Obstetrics and Gynecology, having authored 16 papers that have together received 449 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Dermatological and COVID-19 studies (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Infectious Diseases (206 citations), Neurology (118 citations) and Sensory Systems (25 citations). Parnian Jamshidi has collaborated with scholars based in Iran, United States and Italy. Frequent co-authors include Mohammad Javad Nasiri, Mahta Arbabi, Yeganeh Farsi, Mehdi Mirsaeidi, Azin Tahvildari, Leonardo A. Sechi, Mukunthan Murthi, Sara Haddadi, Masoud Dadashi and Bahareh Hajikhani. Their work appears in journals such as International Journal of Molecular Sciences, Health and Quality of Life Outcomes and Frontiers in Cellular and Infection Microbiology.
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.