Ghader Bashiri

1.7k citations
51 papers · 1.3k · h-index 22

Impact in

Papers in

Ghader Bashiri

50 papers receiving 1.2k citations

Peers

Ghader Bashiri
Comparison fields: 5 of 88
  • Infectious Diseases 364
  • Pharmacology 261
  • Molecular Biology 852
  • Biochemistry 86
  • Molecular Medicine 52
Replace Leslie W. Tari with:
Leslie W. Tari Canada
Francis Blanche France
Gautam Agnihotri United States
Naoko Morisaki Japan
Ken-Ichi Oinuma Japan
Tsung‐Lin Li Taiwan
Juan Aguilar Spain
Steffen Schaffer Germany
Giorgia Letizia Marcone Italy
Irina A. Rodionova United States
Ghader Bashiri relative to Leslie W. Tari Canada Leslie W. Tari's profile →
Citations per field
00.5×3.6×
Leslie W. Tari · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010110
2 202091
3 201377
4 200873
5 202056
6 201951
7 202146
8 200745
9 201743
10 202042
11 201541
12 201440
13 200738
14 201635
15 201530
16 201229
17 201828
18 202125
19 201923
20 202322

About Ghader Bashiri

Ghader Bashiri is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Pharmacology and Epidemiology, having authored 51 papers that have together received 1.3k 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), Mycobacterium research and diagnosis (7 papers), Bacterial Genetics and Biotechnology (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 (364 citations), Pharmacology (261 citations), Molecular Biology (852 citations), Biochemistry (86 citations) and Molecular Medicine (52 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, C.J. Squire, Aisyah Mohamed Rehan, James M. Dickson, David Greenwood, Jonathan Sperry, Ivanhoe K. H. Leung, J. Shaun Lott and Peng Wang. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Journal of the American Chemical Society, Biochemistry 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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