Askar Obulkasim

664 citations
18 papers · 504 · h-index 10

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics

Papers in

Askar Obulkasim

18 papers receiving 499 citations

Peers

Askar Obulkasim
Comparison fields: 5 of 61
  • Hematology 232
  • Cancer Research 120
  • Computational Mathematics 1
  • Oncology 34
  • Ophthalmology 13
Replace Kazuaki Yokoyama with:
Kazuaki Yokoyama Japan
Matteo Zampini Italy
Bhavna Malik United States
Minran Zhou China
Lurdes Torres Portugal
Anna Lehto Finland
Aino Palva Finland
Mariam Ibáñez Spain
Eva Lumbreras Spain
Francisco Fuster‐Tormo Spain
Askar Obulkasim relative to Kazuaki Yokoyama Japan Kazuaki Yokoyama's profile →
Citations per field
00.5×2×3×3.8×
Kazuaki Yokoyama · 1×
Citations per year

Countries citing papers authored by Askar Obulkasim

Since Specialization
Citations

This map shows the geographic impact of Askar Obulkasim'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 Askar Obulkasim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Askar Obulkasim more than expected).

Fields of papers citing papers by Askar Obulkasim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Askar Obulkasim. 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 Askar Obulkasim. The network helps show where Askar Obulkasim may publish in the future.

Co-authors

The 25 scholars most cited alongside Askar Obulkasim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Askar Obulkasim Line = papers co-authored together Askar Obulkasim links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2017172
2 201862
3 201257
4 201553
5 201540
6 201622
7 201417
8 201716
9 201913
10 201711
11 201110
12 201610
13 20158
14 20144
15 20154
16 20152
17 20162
18 20141

About Askar Obulkasim

Askar Obulkasim is a scholar working on Hematology, Cancer Research, Molecular Biology, Ophthalmology and Artificial Intelligence, having authored 18 papers that have together received 504 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), Gene expression and cancer classification (5 papers), Advanced Clustering Algorithms Research (2 papers), MicroRNA in disease regulation (2 papers), Epigenetics and DNA Methylation (1 paper), Statistical Methods and Applications (1 paper), Ocular Oncology and Treatments (1 paper) and Esophageal Cancer Research and Treatment (1 paper). The work is most often cited by research in Hematology (232 citations), Cancer Research (120 citations), Computational Mathematics (1 citation), Oncology (34 citations) and Ophthalmology (13 citations). Askar Obulkasim has collaborated with scholars based in Netherlands, Germany and Czechia. Frequent co-authors include Mark A. van de Wiel, Gerrit A. Meijer, Marry M. van den Heuvel‐Eibrink, Maarten W.J. Fornerod, Dirk Reinhardt, André Baruchel, Mansoor Rezghi, Rob Pieters, Christian Michel Zwaan and Jenny E. Katsman-Kuipers. Their work appears in journals such as Blood, BMC Bioinformatics, Oncotarget, Oncogene and Expert Systems with Applications.

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.

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