Ghader Bashiri

1.8k citations
53 papers · 1.4k · h-index 21

Impact in

Papers in

Ghader Bashiri

49 papers receiving 1.3k citations

Peers

Ghader Bashiri
Comparison fields: 5 of 86
  • Infectious Diseases 395
  • Pharmacology 288
  • Molecular Biology 874
  • Biochemistry 89
  • Molecular Medicine 55
Replace Francis Blanche with:
Francis Blanche France
Doris Rittmann Germany
Linghuo Jiang China
Stephen B. delCardayré United States
Danièlle Promé France
Nina A. Brunner Germany
Peer Lukat Germany
John D. Trawick United States
Tjibbe Bosma Netherlands
Ghader Bashiri relative to Francis Blanche France Francis Blanche's profile →
Citations per field
00.5×2×3×4.4×
Francis Blanche · 1×
Citations per year

Countries citing papers authored by Ghader Bashiri

Since Specialization
Citations

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

Fields of papers citing papers by Ghader Bashiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010116
2 2020115
3 201382
4 200877
5 202072
6 201958
7 202153
8 202049
9 201746
10 200745
11 201542
12 201441
13 200739
14 201636
15 201535
16 202333
17 202130
18 201830
19 201229
20 202226

About Ghader Bashiri

Ghader Bashiri is a scholar working on Infectious Diseases, Molecular Biology, Pharmacology, Biochemistry and Materials Chemistry, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (27 papers), Enzyme Structure and Function (21 papers), Tuberculosis Research and Epidemiology (19 papers), Microbial Natural Products and Biosynthesis (12 papers), Bacterial Genetics and Biotechnology (6 papers), Mycobacterium research and diagnosis (6 papers), Amino Acid Enzymes and Metabolism (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Infectious Diseases (395 citations), Pharmacology (288 citations), Molecular Biology (874 citations), Biochemistry (89 citations) and Molecular Medicine (55 citations). Ghader Bashiri has collaborated with scholars based in New Zealand, United States and China. Frequent co-authors include Edward N. Baker, Nicole J. Moreland, Christopher John Squire, Aisyah Mohamed Rehan, James M. J. J. Dickson, David R. Greenwood, Ivanhoe K. H. Leung, Jonathan Sperry, Yi Tang and Xue Gao. Their work appears in journals such as Nature Communications, Journal of the American Chemical Society, Journal of Biological Chemistry, PLoS ONE and Protein Expression and Purification.

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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