Imad Naasani
- Molecular Biology
- Physiology top 10%
- Pathology and Forensic Medicine top 10%
- Oncology
- Biochemistry top 5%
- Co-authors
- Hiroyuki SeimiyaTakashi TsuruoTomoko Oh‐haraTakao YamoriT TsuruoElnaz YaghiniAlexander J. MacRobertWan Yong Feng
- Topics
- Drug Transport and Resistance Mechanisms (8 papers)Telomeres, Telomerase, and Senescence (7 papers)Advanced biosensing and bioanalysis techniques (6 papers)
- Journals
- BiomaterialsBiochemical and Biophysical Research CommunicationsACS Applied Materials & Interfaces
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Imad Naasani
26 papers receiving 981 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 502
- Physiology 292
- Pathology and Forensic Medicine 170
- Oncology 141
- Biochemistry 120
Countries citing papers authored by Imad Naasani
This map shows the geographic impact of Imad Naasani'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 Imad Naasani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imad Naasani more than expected).
Fields of papers citing papers by Imad Naasani
This network shows the impact of papers produced by Imad Naasani. 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 Imad Naasani. The network helps show where Imad Naasani may publish in the future.
Co-authorship network of co-authors of Imad Naasani
This figure shows the co-authorship network connecting the top 25 collaborators of Imad Naasani. A scholar is included among the top collaborators of Imad Naasani 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 Imad Naasani. Imad Naasani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 15 | |
| 3 | 13 | |
| 4 | 62 | |
| 5 | 45 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | Blocking telomerase by dietary polyphenols is a major mechanism for limiting the growth of human cancer cells in vitro and in vivo. | 173 |
| 9 | 1 | |
| 10 | 77 | |
| 11 | FJ5002: a potent telomerase inhibitor identified by exploiting the disease-oriented screening program with COMPARE analysis. | 140 |
| 12 | 1 | |
| 13 | 201 | |
| 14 | 8 | |
| 15 | 13 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 20 | |
| 19 | 9 | |
| 20 | 11 |
About Imad Naasani
Imad Naasani is a scholar working on Pharmaceutical Science, Physiology and Transplantation, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (8 papers), Telomeres, Telomerase, and Senescence (7 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (74 citations), Biochemistry (120 citations) and Physiology (292 citations). Imad Naasani has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Hiroyuki Seimiya, Takashi Tsuruo, Tomoko Oh‐hara, Takao Yamori, T Tsuruo, Elnaz Yaghini, Alexander J. MacRobert, Wan Yong Feng, Jeffrey S. Johnston and Kenneth Chun‐Ho Chan. Their work appears in journals such as Biomaterials, Biochemical and Biophysical Research Communications and ACS Applied Materials & Interfaces.
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.