Hemragul Sabit
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
-
- Wnt/β-catenin signaling in development and cancer 3
- RNA Research and Splicing 3
- Histone Deacetylase Inhibitors Research 3
- Genetics 18
- Glioma Diagnosis and Treatment 17
- Co-authors
- Mitsutoshi Nakada (40 shared papers)Takuya Furuta (16 shared papers)Yutaka Hayashi (7 shared papers)Shingo Tanaka (8 shared papers)Shabierjiang Jiapaer (11 shared papers)Katsuyoshi Miyashita (7 shared papers)Tomonori Shimonishi (3 shared papers)Hiroshi Sato (5 shared papers)
- Journals
- Brain Tumor Pathology (6 papers)Cancer Science (3 papers)Scientific Reports (2 papers)World Neurosurgery (2 papers)Carcinogenesis (2 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Hemragul Sabit
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Genetics 299
- Cancer Research 284
- Developmental Neuroscience 51
- Molecular Biology 647
- Oncology 210
Countries citing papers authored by Hemragul Sabit
This map shows the geographic impact of Hemragul Sabit'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 Hemragul Sabit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hemragul Sabit more than expected).
Fields of papers citing papers by Hemragul Sabit
This network shows the impact of papers produced by Hemragul Sabit. 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 Hemragul Sabit. The network helps show where Hemragul Sabit may publish in the future.
Co-authors
The 25 scholars most cited alongside Hemragul Sabit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 92 | |
| 2 | 2018 | 87 | |
| 3 | 2001 | 74 | |
| 4 | 2006 | 68 | |
| 5 | 2014 | 64 | |
| 6 | 2013 | 63 | |
| 7 | 2016 | 62 | |
| 8 | 2009 | 54 | |
| 9 | 2000 | 53 | |
| 10 | 2014 | 41 | |
| 11 | 2017 | 41 | |
| 12 | 2022 | 40 | |
| 13 | 2017 | 35 | |
| 14 | 2020 | 34 | |
| 15 | 2001 | 31 | |
| 16 | 2019 | 30 | |
| 17 | 2013 | 28 | |
| 18 | 2020 | 26 | |
| 19 | 2012 | 24 | |
| 20 | 2020 | 23 |
About Hemragul Sabit
Hemragul Sabit is a scholar working on Molecular Biology, Genetics, Cancer Research, Cell Biology and Oncology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (17 papers), MicroRNA in disease regulation (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Wnt/β-catenin signaling in development and cancer (3 papers), RNA Research and Splicing (3 papers), Microtubule and mitosis dynamics (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). The work is most often cited by research in Genetics (299 citations), Cancer Research (284 citations), Developmental Neuroscience (51 citations), Molecular Biology (647 citations) and Oncology (210 citations). Hemragul Sabit has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Mitsutoshi Nakada, Takuya Furuta, Yutaka Hayashi, Shingo Tanaka, Shabierjiang Jiapaer, Katsuyoshi Miyashita, Tomonori Shimonishi, Hiroshi Sato, Sho Tamai and Yasuni Nakanuma. Their work appears in journals such as Brain Tumor Pathology, Cancer Science, Scientific Reports, World Neurosurgery and Carcinogenesis.
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.