Samira Kiani
- Molecular Biology top 2%
- Genetics top 5%
- Oncology top 10%
- Plant Science top 10%
- Aging top 1%
- Co-authors
- Mo R. EbrahimkhaniRon WeissAlejandro ChavezMarcelle TuttleJames J. CollinsGeorge M. ChurchNoah DavidsohnBenjamin W. Pruitt
- Topics
- CRISPR and Genetic Engineering (16 papers)Pluripotent Stem Cells Research (8 papers)Liver Disease and Transplantation (6 papers)
- Journals
- NatureNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesIranNetherlands
In The Last Decade
Samira Kiani
31 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 3.2k
- Genetics 620
- Oncology 277
- Plant Science 244
- Aging 227
Countries citing papers authored by Samira Kiani
This map shows the geographic impact of Samira Kiani'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 Samira Kiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samira Kiani more than expected).
Fields of papers citing papers by Samira Kiani
This network shows the impact of papers produced by Samira Kiani. 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 Samira Kiani. The network helps show where Samira Kiani may publish in the future.
Co-authorship network of co-authors of Samira Kiani
This figure shows the co-authorship network connecting the top 25 collaborators of Samira Kiani. A scholar is included among the top collaborators of Samira Kiani 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 Samira Kiani. Samira Kiani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 28 | |
| 3 | 64 | |
| 4 | 0 | |
| 5 | 144 | |
| 6 | 3 | |
| 7 | 46 | |
| 8 | 20 | |
| 9 | Detection of Vibrio Species Isolated from Ornamental Guppy Fish in Kashan, Isfahan, Iran Fish culturing Pounds | 6 |
| 10 | 118 | |
| 11 | Cas9 gRNA engineering for genome editing, activation and repression | 1 |
| 12 | 249 | |
| 13 | Highly efficient Cas9-mediated transcriptional programmingbreakdown → | 1183 |
| 14 | 151 | |
| 15 | 1 | |
| 16 | Genetic engineering of human pluripotent cells using TALE nucleasesbreakdown → | 894 |
| 17 | 10 | |
| 18 | 15 | |
| 19 | 28 | |
| 20 | 18 |
About Samira Kiani
Samira Kiani is a scholar working on Business and International Management, Hepatology and Aging, having authored 32 papers that have together received 3.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (16 papers), Pluripotent Stem Cells Research (8 papers) and Liver Disease and Transplantation (6 papers). The work is most often cited by research in Aging (227 citations), Business and International Management (193 citations) and Molecular Biology (3.2k citations). Samira Kiani has collaborated with scholars based in United States, Iran and Netherlands. Frequent co-authors include Mo R. Ebrahimkhani, Ron Weiss, Alejandro Chavez, Marcelle Tuttle, James J. Collins, George M. Church, Noah Davidsohn, Benjamin W. Pruitt, Suhani Vora and Dmitry Ter‐Ovanesyan. Their work appears in journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.
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.