Sanum Bashir

672 total citations
12 papers, 427 citations indexed

About

Sanum Bashir is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Sanum Bashir has authored 12 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Oncology. Recurrent topics in Sanum Bashir's work include CRISPR and Genetic Engineering (10 papers), Virus-based gene therapy research (5 papers) and Pluripotent Stem Cells Research (3 papers). Sanum Bashir is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), Virus-based gene therapy research (5 papers) and Pluripotent Stem Cells Research (3 papers). Sanum Bashir collaborates with scholars based in Germany, United States and Austria. Sanum Bashir's co-authors include Ralf Kühn, Zoltán Ivics, Zsuzsanna Izsvák, Wolfgang Wurst, Benedikt Wefers, Michal Pravenec, Vladimír Landa, Václav Zı́dek, Lajos Mátés and Thomas Rülicke and has published in prestigious journals such as Journal of Clinical Oncology, Nature Protocols and Genome Research.

In The Last Decade

Sanum Bashir

12 papers receiving 419 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sanum Bashir Germany 11 386 188 69 23 21 12 427
Pawel Bialk United States 10 320 0.8× 86 0.5× 48 0.7× 14 0.6× 27 1.3× 15 360
Yann Jouvenot United States 6 404 1.0× 172 0.9× 49 0.7× 11 0.5× 5 0.2× 10 436
Yeonsoo Yoon United States 7 367 1.0× 123 0.7× 29 0.4× 8 0.3× 26 1.2× 9 396
Omer Habib South Korea 9 247 0.6× 65 0.3× 20 0.3× 14 0.6× 15 0.7× 16 290
Tyler S. Klann United States 7 420 1.1× 74 0.4× 25 0.4× 13 0.6× 28 1.3× 9 464
Peter M. Kutny United States 6 322 0.8× 173 0.9× 19 0.3× 13 0.6× 34 1.6× 7 366
Bastien Vidal Switzerland 3 378 1.0× 80 0.4× 40 0.6× 7 0.3× 48 2.3× 3 399
Michaela Willi United States 12 478 1.2× 108 0.6× 51 0.7× 6 0.3× 11 0.5× 19 575
Jimmy A. Guo United States 8 292 0.8× 61 0.3× 116 1.7× 22 1.0× 11 0.5× 14 353
Angus Yiu-Fai Lee United States 6 387 1.0× 158 0.8× 21 0.3× 10 0.4× 29 1.4× 7 484

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-authorship network of co-authors of Sanum Bashir

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

All Works

12 of 12 papers shown
1.
Bashir, Sanum, Ralf Kühn, Markus F. Templin, et al.. (2022). A RAS-independent biomarker panel pedicts response to MEK-inhibitors in colorectal cancer.. Journal of Clinical Oncology. 40(16_suppl). e15524–e15524. 1 indexed citations
2.
Bashir, Sanum, Ralf Kühn, Markus F. Templin, et al.. (2022). A RAS-Independent Biomarker Panel to Reliably Predict Response to MEK Inhibition in Colorectal Cancer. Cancers. 14(13). 3252–3252. 10 indexed citations
3.
Bashir, Sanum, et al.. (2020). Enhancement of CRISPR-Cas9 induced precise gene editing by targeting histone H2A-K15 ubiquitination. BMC Biotechnology. 20(1). 57–57. 11 indexed citations
4.
Bashir, Sanum, et al.. (2019). Efficient Gene Editing of Human Induced Pluripotent Stem Cells Using CRISPR/Cas9. Methods in molecular biology. 1961. 137–151. 11 indexed citations
5.
Tran, Ngoc Tung, Sanum Bashir, Xun Li, et al.. (2019). Enhancement of Precise Gene Editing by the Association of Cas9 With Homologous Recombination Factors. Frontiers in Genetics. 10. 365–365. 56 indexed citations
6.
Wefers, Benedikt, et al.. (2017). Gene editing in mouse zygotes using the CRISPR/Cas9 system. Methods. 121-122. 55–67. 34 indexed citations
7.
Bashir, Sanum, et al.. (2017). Control of gene editing by manipulation of DNA repair mechanisms. Mammalian Genome. 28(7-8). 262–274. 51 indexed citations
8.
Stumm, Jürgen, et al.. (2017). Gene editing and clonal isolation of human induced pluripotent stem cells using CRISPR/Cas9. Methods. 121-122. 29–44. 37 indexed citations
9.
Grandi, Fiorella C., James M. Rosser, Simon J. Newkirk, et al.. (2015). Retrotransposition creates sloping shores: a graded influence of hypomethylated CpG islands on flanking CpG sites. Genome Research. 25(8). 1135–1146. 34 indexed citations
10.
Ivics, Zoltán, Lajos Mátés, Vladimír Landa, et al.. (2014). Germline transgenesis in rodents by pronuclear microinjection of Sleeping Beauty transposons. Nature Protocols. 9(4). 773–793. 50 indexed citations
11.
Ivics, Zoltán, László Hiripi, Orsolya Ivett Hoffmann, et al.. (2014). Germline transgenesis in rabbits by pronuclear microinjection of Sleeping Beauty transposons. Nature Protocols. 9(4). 794–809. 73 indexed citations
12.
Ivics, Zoltán, Wiebke Garrels, Lajos Mátés, et al.. (2014). Germline transgenesis in pigs by cytoplasmic microinjection of Sleeping Beauty transposons. Nature Protocols. 9(4). 810–827. 59 indexed citations

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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