Sanum Bashir

672 citations
12 papers · 427 · h-index 11

Impact in

Papers in

    • CRISPR and Genetic Engineering 10
    • Pluripotent Stem Cells Research 3
    • Advanced biosensing and bioanalysis techniques 1
    • Virus-based gene therapy research 5
    • Animal Genetics and Reproduction 3

Sanum Bashir

12 papers receiving 419 citations

Peers

Sanum Bashir
Comparison fields: 5 of 51
  • Aging 21
  • Business and International Management 17
  • Genetics 188
  • Molecular Biology 386
  • Plant Science 69
Replace Sung-Ah Hong with:
Sung-Ah Hong South Korea
Gou Takahashi Japan
Pawel Bialk United States
Yeonsoo Yoon United States
Sannie J. Culbertson United States
Bastien Vidal Switzerland
Omer Habib South Korea
Judith Gallant United States
Angus Yiu-Fai Lee United States
Moe Tamano Japan
Sanum Bashir relative to Sung-Ah Hong South Korea Sung-Ah Hong's profile →
Citations per field
00.5×20×40×59×
Sung-Ah Hong · 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 201473
2 201459
3 201956
4 201751
5 201450
6 201737
7 201534
8 201734
9 201911
10 202011
11 202210
12 20221

About Sanum Bashir

Sanum Bashir is a scholar working on Molecular Biology, Genetics, Oncology, Aging and Cancer Research, having authored 12 papers that have together received 427 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Virus-based gene therapy research (5 papers), Pluripotent Stem Cells Research (3 papers), Animal Genetics and Reproduction (3 papers), Cancer Genomics and Diagnostics (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Aging (21 citations), Business and International Management (17 citations), Genetics (188 citations), Molecular Biology (386 citations) and Plant Science (69 citations). Sanum Bashir has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Ralf Kühn, Zsuzsanna Izsvák, Zoltán Ivics, Wolfgang Wurst, Benedikt Wefers, Vladimír Landa, Lajos Mátés, Václav Zı́dek, Michal Pravenec and Aron M. Geurts. Their work appears in journals such as Nature Protocols, Methods, Journal of Clinical Oncology, Cancers and Frontiers in Genetics.

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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