Ziedulla Abdullaev
- Molecular Biology top 5%
- Genetics top 5%
- Immunology top 10%
- Oncology
- Cancer Research top 10%
- Co-authors
- Victor V. LobanenkovDmitri LoukinovBing RenRoland D. GreenAndrew D. SmithKeith A. ChingMichael Q. ZhangTae Hoon Kim
- Topics
- Epigenetics and DNA Methylation (7 papers)Genetic Syndromes and Imprinting (4 papers)Genomics and Chromatin Dynamics (4 papers)
- Journals
- CellNucleic Acids ResearchPLoS ONE
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Ziedulla Abdullaev
28 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 1.8k
- Genetics 556
- Immunology 230
- Oncology 227
- Cancer Research 217
Countries citing papers authored by Ziedulla Abdullaev
This map shows the geographic impact of Ziedulla Abdullaev'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 Ziedulla Abdullaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziedulla Abdullaev more than expected).
Fields of papers citing papers by Ziedulla Abdullaev
This network shows the impact of papers produced by Ziedulla Abdullaev. 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 Ziedulla Abdullaev. The network helps show where Ziedulla Abdullaev may publish in the future.
Co-authorship network of co-authors of Ziedulla Abdullaev
This figure shows the co-authorship network connecting the top 25 collaborators of Ziedulla Abdullaev. A scholar is included among the top collaborators of Ziedulla Abdullaev 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 Ziedulla Abdullaev. Ziedulla Abdullaev 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 | 16 | |
| 3 | 23 | |
| 4 | 3 | |
| 5 | 74 | |
| 6 | 67 | |
| 7 | 65 | |
| 8 | 27 | |
| 9 | 87 | |
| 10 | 81 | |
| 11 | 157 | |
| 12 | 86 | |
| 13 | Analysis of the Vertebrate Insulator Protein CTCF-Binding Sites in the Human Genomebreakdown → | 811 |
| 14 | 39 | |
| 15 | 167 | |
| 16 | 83 | |
| 17 | 51 | |
| 18 | 4 | |
| 19 | 13 | |
| 20 | [Expression of mutant horse cytochrome c genes in Escherichia coli]. | 13 |
About Ziedulla Abdullaev
Ziedulla Abdullaev is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Cancer Research, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Genetic Syndromes and Imprinting (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Genetics (556 citations) and Cancer Research (217 citations). Ziedulla Abdullaev has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Victor V. Lobanenkov, Dmitri Loukinov, Bing Ren, Roland D. Green, Andrew D. Smith, Keith A. Ching, Michael Q. Zhang, Tae Hoon Kim, Svetlana Pack and Elena M. Pugacheva. Their work appears in journals such as Cell, Nucleic Acids Research and PLoS ONE.
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.