Adil Akhtar
- Molecular Biology
- Oncology top 5%
- Pharmacology top 5%
- Pathology and Forensic Medicine top 10%
- Cancer Research top 10%
- Co-authors
- Francis M. GiardielloPankaj J. PasrichaGauri C. BediRichard J. JonesStanley R. HamiltonBarbara A. ZehnbauerA BediJames Barber
- Topics
- Machine Learning in Bioinformatics (3 papers)Complex Network Analysis Techniques (3 papers)Bioinformatics and Genomic Networks (3 papers)
- Cited by
- OncologyPharmacologyCancer Research
- Journals
- Nature MedicineSHILAP Revista de lepidopterologíaGastroenterology
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Adil Akhtar
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 552
- Oncology 476
- Pharmacology 234
- Pathology and Forensic Medicine 218
- Cancer Research 186
Countries citing papers authored by Adil Akhtar
This map shows the geographic impact of Adil Akhtar'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 Adil Akhtar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adil Akhtar more than expected).
Fields of papers citing papers by Adil Akhtar
This network shows the impact of papers produced by Adil Akhtar. 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 Adil Akhtar. The network helps show where Adil Akhtar may publish in the future.
Co-authorship network of co-authors of Adil Akhtar
This figure shows the co-authorship network connecting the top 25 collaborators of Adil Akhtar. A scholar is included among the top collaborators of Adil Akhtar 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 Adil Akhtar. Adil Akhtar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Ultraviolet Germicidal Irradiation to Decontaminate Filtering Face Piece Respirators During COVID-19 Pandemic. | 2 |
| 3 | 4 | |
| 4 | Graph theoretic approach to analyze amino acid network | 1 |
| 5 | 0 | |
| 6 | 18 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | Awareness among parents of β-thalassemia major patients, regarding prenatal diagnosis and premarital screening. | 24 |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 139 | |
| 15 | 2 | |
| 16 | 215 | |
| 17 | 212 | |
| 18 | 6 | |
| 19 | Inhibition of apoptosis during development of colorectal cancer. | 485 |
| 20 | Bryostatin 1-induced hairy cell features on chronic lymphocytic leukemia cells in vitro. | 38 |
About Adil Akhtar
Adil Akhtar is a scholar working on Oncology, Statistical and Nonlinear Physics and Otorhinolaryngology, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (3 papers), Complex Network Analysis Techniques (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Oncology (476 citations), Pharmacology (234 citations) and Cancer Research (186 citations). Adil Akhtar has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Francis M. Giardiello, Pankaj J. Pasricha, Gauri C. Bedi, Richard J. Jones, Stanley R. Hamilton, Barbara A. Zehnbauer, A Bedi, James Barber, Atul Bedi and Stanley R. Hamilton. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and Gastroenterology.
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.