Sanum Bashir

658 citations
12 papers · 516 · h-index 11

Impact in

  • Genetics top 10%
    • Animal Genetics and Reproduction
    • Virus-based gene therapy research
    • CRISPR and Genetic Engineering
    • Pluripotent Stem Cells Research
    • RNA Interference and Gene Delivery
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • CRISPR and Genetic Engineering 7
    • TGF-β signaling in diseases 1
    • Animal Genetics and Reproduction 4

Sanum Bashir

11 papers receiving 509 citations

Peers

Sanum Bashir
Comparison fields: 5 of 46
  • Genetics 202
  • Molecular Biology 287
  • Endocrine and Autonomic Systems 7
  • Cell Biology 14
  • Biochemistry 5
Replace Mee J. Kim with:
Mee J. Kim United States
Kei Hiramatsu Japan
Elena V. Kashina Russia
Didier Goidin France
Zelpha D’Souza United Kingdom
Andrew P. Salinger United States
Rouaïda Cavin Périer Switzerland
William McAlpine United States
Katja Ludin Switzerland
Agnese Loda France
Sanum Bashir relative to Mee J. Kim United States Mee J. Kim's profile →
Citations per field
00.5×1.5×2×2.5×
Mee J. Kim · 1×
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

12 of 12 papers shown
#Work
1 201283
2 201473
3 201763
4 201963
5 201461
6 201452
7 201742
8 201742
9 201914
10 202012
11 202211
12 20170

About Sanum Bashir

Sanum Bashir is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Oncology and Nuclear Energy and Engineering, having authored 12 papers that have together received 516 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Animal Genetics and Reproduction (4 papers), Colorectal Cancer Treatments and Studies (1 paper), TGF-β signaling in diseases (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Genetics (202 citations), Molecular Biology (287 citations), Endocrine and Autonomic Systems (7 citations), Cell Biology (14 citations) and Biochemistry (5 citations). Sanum Bashir has collaborated with scholars based in Germany, Hungary and Austria. Frequent co-authors include Ralf Kühn, Saniye Yumlu, Benedikt Wefers, Wolfgang Wurst, Lajos Mátés, Thomas Rülicke, Zsuzsanna Izsvák, Michal Pravenec, Vladimír Landa and Aron M. Geurts. Their work appears in journals such as Nature Protocols, Methods, Mammalian Genome, Frontiers in Genetics and The FASEB Journal.

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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