Sanum Bashir

678 citations
13 papers · 443 · h-index 11

Impact in

Papers in

    • CRISPR and Genetic Engineering 11
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Pluripotent Stem Cells Research 2
    • Epigenetics and DNA Methylation 1
    • Virus-based gene therapy research 6
    • Animal Genetics and Reproduction 3

Sanum Bashir

12 papers receiving 435 citations

Peers

Sanum Bashir
Comparison fields: 5 of 50
  • Aging 21
  • Business and International Management 19
  • Genetics 191
  • Molecular Biology 389
  • Plant Science 73
Replace Cidi Chen with:
Cidi Chen United States
Kankan Wang China
Pawel Bialk United States
Yeonsoo Yoon United States
Gou Takahashi Japan
Sung-Ah Hong South Korea
Bastien Vidal United States
Chase C. Suiter United States
Omer Habib South Korea
Congting Guo China
Sanum Bashir relative to Cidi Chen United States Cidi Chen's profile →
Citations per field
00.5×
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Citations per year

Countries citing papers authored by Sanum Bashir

Since Specialization
Citations

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

Fields of papers citing papers by Sanum Bashir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sanum Bashir, 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 Sanum Bashir Line = papers co-authored together Sanum Bashir links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201474
2 201461
3 201957
4 201757
5 201450
6 201738
7 201537
8 201735
9 201912
10 202011
11 202210
12 20221
13 20170

About Sanum Bashir

Sanum Bashir is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 13 papers that have together received 443 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Virus-based gene therapy research (6 papers), Animal Genetics and Reproduction (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Cancer Genomics and Diagnostics (2 papers), Pluripotent Stem Cells Research (2 papers), Colorectal Cancer Treatments and Studies (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Aging (21 citations), Business and International Management (19 citations), Genetics (191 citations), Molecular Biology (389 citations) and Plant Science (73 citations). Sanum Bashir has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Ralf Kühn, Benedikt Wefers, Wolfgang Wurst, Zoltán Ivics, Zsuzsanna Izsvák, Michal Pravenec, Vladimír Landa, Thomas Rülicke, Václav Zı́dek and Lajos Mátés. Their work appears in journals such as Nature Protocols, Methods, Frontiers in Genetics, Nature Biomedical Engineering and Mammalian Genome.

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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