Zarema Arbieva

1.3k total citations
39 papers, 955 citations indexed

About

Zarema Arbieva is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Zarema Arbieva has authored 39 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Zarema Arbieva's work include Genomics and Chromatin Dynamics (4 papers), Acute Myeloid Leukemia Research (4 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Zarema Arbieva is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), Acute Myeloid Leukemia Research (4 papers) and Genomics, phytochemicals, and oxidative stress (3 papers). Zarema Arbieva collaborates with scholars based in United States, Nigeria and United Kingdom. Zarema Arbieva's co-authors include Igor M. Gavin, Bruce S. Gillis, Shujuan Guo, Thomas A. Mustoe, Lin Chen, Luisa A. DiPietro, Phillip T. Marucha, Stephen Horrigan, Carol A. Westbrook and Noreen Fulton and has published in prestigious journals such as Nature Genetics, Blood and The Journal of Immunology.

In The Last Decade

Zarema Arbieva

37 papers receiving 933 citations

Peers

Zarema Arbieva
Comparison fields: 5 of 127
  • Molecular Biology 467
  • Hematology 106
  • Rehabilitation 99
  • Immunology 98
  • Cancer Research 96
Replace Yifan Zhao with:
Yifan Zhao China
Jennifer Thompson Ireland
Hyun-Kyung Kim South Korea
Yuqiong Wu China
Huilan Zeng China
Jinlong Jian United States
David N. Menton United States
Richard Seonghun Nho United States
Hye‐Jin Jo South Korea
Yifan Zhao China View profile →
Citations per field, relative to Zarema Arbieva
Zarema Arbieva · 1×
Citations per year, relative to Zarema Arbieva
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Countries citing papers authored by Zarema Arbieva

Since Specialization
Citations

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

Fields of papers citing papers by Zarema Arbieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zarema Arbieva

This figure shows the co-authorship network connecting the top 25 collaborators of Zarema Arbieva. A scholar is included among the top collaborators of Zarema Arbieva 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 Zarema Arbieva. Zarema Arbieva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 9
3 0
4 3
5 1
6 20
7 5
8 21
9 18
10 7
11 16
12 15
13 5
14 16
15 118
16 42
17
Silvestrol regulates G2/M checkpoint genes independent of p53 activity.
45
18 62
19 27
20 22

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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