Ali Navid

700 citations
30 papers · 445 · h-index 13

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 13
    • Gene Regulatory Network Analysis 8
    • Bioinformatics and Genomic Networks 6
    • Protein Structure and Dynamics 2
    • Biofuel production and bioconversion 4

Ali Navid

29 papers receiving 434 citations

Peers

Ali Navid
Comparison fields: 5 of 100
  • Biomedical Engineering 133
  • Fluid Flow and Transfer Processes 18
  • Molecular Biology 191
  • Neurology 22
  • Building and Construction 22
Replace Xiaoning Shen with:
Xiaoning Shen China
Michael Briggs United States
Jae‐Min Park South Korea
Weidong Huang China
Sébastien Calvo Belgium
Junyan Gao China
Mohammad Omidi Iran
Shinya Ogawa Japan
RK Singh India
Longping Zhang China
Ali Navid relative to Xiaoning Shen China Xiaoning Shen's profile →
Citations per field
00.5×4.4×
Xiaoning Shen · 1×
Citations per year

Countries citing papers authored by Ali Navid

Since Specialization
Citations

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

Fields of papers citing papers by Ali Navid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201082
2 201256
3 201832
4 201231
5 201224
6 201924
7 201322
8 202022
9 201315
10 202315
11 202313
12 201013
13 202312
14 200312
15 201110
16 20049
17 19997
18 20167
19 20246
20 20225

About Ali Navid

Ali Navid is a scholar working on Molecular Biology, Biomedical Engineering, Fluid Flow and Transfer Processes, Cellular and Molecular Neuroscience and Ecology, having authored 30 papers that have together received 445 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (13 papers), Gene Regulatory Network Analysis (8 papers), Bioinformatics and Genomic Networks (6 papers), Biofuel production and bioconversion (4 papers), Advanced Combustion Engine Technologies (3 papers), Protein Structure and Dynamics (2 papers), Evolution and Genetic Dynamics (2 papers) and Combustion and flame dynamics (2 papers). The work is most often cited by research in Biomedical Engineering (133 citations), Fluid Flow and Transfer Processes (18 citations), Molecular Biology (191 citations), Neurology (22 citations) and Building and Construction (22 citations). Ali Navid has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Eivind Almaas, Christopher S. Lynch, Laurent Pilon, Benjamin J. Stewart, Yongqin Jiao, Jennifer Pett‐Ridge, Patrik D’haeseleer, Graham Bench, Sergio Wong and Jeffrey A. Kimbrel. Their work appears in journals such as International Journal of Hydrogen Energy, Smart Materials and Structures, Journal of Porphyrins and Phthalocyanines, Biotechnology and Bioengineering and Yeast.

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.

Explore authors with similar magnitude of impact