Abdullah Shah

1.1k citations
26 papers · 784 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Advanced biosensing and bioanalysis techniques

Papers in

Abdullah Shah

24 papers receiving 774 citations

Peers

Abdullah Shah
Comparison fields: 5 of 97
  • Cancer Research 383
  • Molecular Biology 540
  • Infectious Diseases 110
  • Immunology 79
  • Endocrinology 12
Replace Hidenori Tani with:
Hidenori Tani Japan
Yueyong Liu China
Peng Yuan China
Jingyun Xu China
Jaehee V. Shim United States
Ellen Jorgensen United States
Patompon Wongtrakoongate Thailand
Marta Melé Spain
Abdullah Shah relative to Hidenori Tani Japan Hidenori Tani's profile →
Citations per field
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Hidenori Tani · 1×
Citations per year

Countries citing papers authored by Abdullah Shah

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016287
2 2015103
3 202269
4 201759
5 201757
6 202130
7 201728
8 201726
9 202122
10 202122
11 201915
12 202015
13 202112
14 20209
15 20127
16 20147
17 20234
18
The Andean tuber crops mashua, oca and ulluco: optimizing the discrimination between varieties by electrophoresis and some characters of the tuber proteins
19934
19 20192
20 20202

About Abdullah Shah

Abdullah Shah is a scholar working on Infectious Diseases, Molecular Biology, Cancer Research, Genetics and Immunology, having authored 26 papers that have together received 784 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Genetic and phenotypic traits in livestock (3 papers), interferon and immune responses (3 papers), RNA modifications and cancer (3 papers), Animal Virus Infections Studies (2 papers) and Plant and Fungal Interactions Research (2 papers). The work is most often cited by research in Cancer Research (383 citations), Molecular Biology (540 citations), Infectious Diseases (110 citations), Immunology (79 citations) and Endocrinology (12 citations). Abdullah Shah has collaborated with scholars based in China, Pakistan and United Kingdom. Frequent co-authors include Farooq Rashid, Ge Shan, Hassaan Mehboob Awan, Liang Chen, Muhammad Suleman, Suliman Khan, Amin Ullah Jan, Tao Zhu, An Liu and Mingming Wu. Their work appears in journals such as Frontiers in Microbiology, International Journal of Dairy Technology, Genomics Proteomics & Bioinformatics, Proceedings of the National Academy of Sciences and RNA Biology.

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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