Nahid Maspi
- Public Health, Environmental and Occupational Health top 10%
- Epidemiology
- Immunology
- Parasitology top 10%
- Molecular Biology
- Co-authors
- Amir AbdoliFatemeh GhaffarifarAbdolhossein DalimiZohreh SharifiElham MasoumiMaryam MalekiAsad MirzaeiAli Bahrami
- Topics
- Research on Leishmaniasis Studies (11 papers)Toxin Mechanisms and Immunotoxins (5 papers)Trypanosoma species research and implications (3 papers)
- Journals
- CytokineApmisParasite Immunology
- Partner nations
- IranAfghanistan
In The Last Decade
Nahid Maspi
15 papers receiving 325 citations
Peers
Comparison fields: 5 of 66
- Public Health, Environmental and Occupational Health 266
- Epidemiology 133
- Immunology 82
- Parasitology 53
- Molecular Biology 34
Countries citing papers authored by Nahid Maspi
This map shows the geographic impact of Nahid Maspi'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 Nahid Maspi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nahid Maspi more than expected).
Fields of papers citing papers by Nahid Maspi
This network shows the impact of papers produced by Nahid Maspi. 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 Nahid Maspi. The network helps show where Nahid Maspi may publish in the future.
Co-authorship network of co-authors of Nahid Maspi
This figure shows the co-authorship network connecting the top 25 collaborators of Nahid Maspi. A scholar is included among the top collaborators of Nahid Maspi 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 Nahid Maspi. Nahid Maspi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 26 | |
| 6 | 7 | |
| 7 | Expression of Plasmid Encoded GRA4 Gene of Toxoplasma gondii RH Strain in CHO Eukaryotic Cells. | 6 |
| 8 | 8 | |
| 9 | 48 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | DNA vaccination with a plasmid encoding LACK-TSA fusion against Leishmania major infection in BALB/c mice. | 5 |
| 13 | 173 | |
| 14 | 17 | |
| 15 | 4 | |
| 16 | EVALUATION OF LEISHMANICIDAL EFFECT OF WATERY & ETHANOLIC FLOWERS CALENDULA OFFICINALIS EXTRACT ON PROMASTIGOTES OF LEISHMANIA MAJOR (MRHO/IR/75/ER) IN VITRO | 8 |
About Nahid Maspi
Nahid Maspi is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Immunology, having authored 16 papers that have together received 335 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (11 papers), Toxin Mechanisms and Immunotoxins (5 papers) and Trypanosoma species research and implications (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (266 citations), Parasitology (53 citations) and Immunology (82 citations). Nahid Maspi has collaborated with scholars based in Iran and Afghanistan. Frequent co-authors include Amir Abdoli, Fatemeh Ghaffarifar, Abdolhossein Dalimi, Zohreh Sharifi, Elham Masoumi, Maryam Maleki, Asad Mirzaei, Ali Bahrami, Tooran Nayeri and Vahid Nasiri. Their work appears in journals such as Cytokine, Apmis and Parasite Immunology.
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.