Babak Javid

3.0k citations
53 papers · 1.6k · h-index 20

Impact in

Papers in

    • RNA and protein synthesis mechanisms 11
    • RNA modifications and cancer 6
    • Heat shock proteins research 4
    • Genomics and Phylogenetic Studies 4
    • Mycobacterium research and diagnosis 20

Babak Javid

50 papers receiving 1.6k citations

Peers

Babak Javid
Comparison fields: 5 of 122
  • Infectious Diseases 646
  • Molecular Medicine 99
  • Epidemiology 477
  • Immunology 261
  • Molecular Biology 758
Replace Jan Rybniker with:
Jan Rybniker Germany
Yongping Lin China
K. Mills United States
Quanxin Long China
Paul J. Converse United States
Irene M. Monahan United Kingdom
Lakshmanane Premkumar United States
P. Bernard Fourie South Africa
Martin Rao Sweden
Babak Javid relative to Jan Rybniker Germany Jan Rybniker's profile →
Citations per field
00.5×1.5×
Jan Rybniker · 1×
Citations per year

Countries citing papers authored by Babak Javid

Since Specialization
Citations

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

Fields of papers citing papers by Babak Javid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Babak Javid, 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 Babak Javid Line = papers co-authored together Babak Javid 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 2011174
2 2014147
3 2017125
4 2014118
5 200494
6 200791
7 201879
8 201875
9 202071
10 202160
11 202249
12 200846
13 202045
14 200237
15 201333
16 202130
17 201824
18 200421
19 202120
20 201519

About Babak Javid

Babak Javid is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Immunology and Surgery, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (20 papers), Tuberculosis Research and Epidemiology (19 papers), RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (6 papers), Bacterial Genetics and Biotechnology (4 papers), Heat shock proteins research (4 papers), Genomics and Phylogenetic Studies (4 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Infectious Diseases (646 citations), Molecular Medicine (99 citations), Epidemiology (477 citations), Immunology (261 citations) and Molecular Biology (758 citations). Babak Javid has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hao Li, Paul A. MacAry, Junhao Zhu, Miaomiao Pan, Eric J. Rubin, Flavia Sorrentino, Melody Toosky, Philip J. Farabaugh, Manuel A. S. Santos and Wulf Oehlmann. Their work appears in journals such as Frontiers in Microbiology, Antimicrobial Agents and Chemotherapy, Scientific Reports, Proceedings of the National Academy of Sciences and eLife.

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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