Vladimir B. Bajić

24.3k total citations · 3 hit papers
278 papers, 11.7k citations indexed

About

Vladimir B. Bajić is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Vladimir B. Bajić has authored 278 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Molecular Biology, 37 papers in Ecology and 27 papers in Plant Science. Recurrent topics in Vladimir B. Bajić's work include Genomics and Phylogenetic Studies (61 papers), Genomics and Chromatin Dynamics (44 papers) and RNA and protein synthesis mechanisms (34 papers). Vladimir B. Bajić is often cited by papers focused on Genomics and Phylogenetic Studies (61 papers), Genomics and Chromatin Dynamics (44 papers) and RNA and protein synthesis mechanisms (34 papers). Vladimir B. Bajić collaborates with scholars based in Saudi Arabia, United States and South Africa. Vladimir B. Bajić's co-authors include Lina Ma, Zhang Zhang, Arwa Bin Raies, Magbubah Essack, Haitham Ashoor, Yulia A. Medvedeva, Intikhab Álam, Ivan V. Kulakovskiy, John A. C. Archer and Salim Bougouffa and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Vladimir B. Bajić

271 papers receiving 11.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

On the classification of long non-coding RNAs

2013 1.0k citations Lina Ma, Vladimir B. Bajić et al. RNA Biology profile →
HOCOMOCO: towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-Seq analysis

2017 500 citations Ivan V. Kulakovskiy, Ilya E. Vorontsov et al. Nucleic Acids Research profile →
In silico toxicology: computational methods for the prediction of chemical toxicity

2016 497 citations Vladimir B. Bajić et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vladimir B. Bajić Saudi Arabia	57	7.1k	2.0k	1.6k	1.2k	953	278	11.7k
Davide Heller Switzerland	5	7.7k 1.1×	1.4k 0.7×	1.6k 1.0×	1.5k 1.3×	1.2k 1.2×	6	12.3k
Helen Cook Denmark	11	6.1k 0.9×	1.1k 0.5×	1.5k 0.9×	1.4k 1.2×	985 1.0×	14	10.9k
Tobias Doerks Germany	35	10.5k 1.5×	1.3k 0.6×	2.3k 1.4×	1.3k 1.1×	1.6k 1.6×	48	14.2k
Shujiro Okuda Japan	35	8.4k 1.2×	1.1k 0.5×	2.5k 1.5×	1.5k 1.3×	1.3k 1.4×	184	14.3k
David Wheeler United States	25	9.9k 1.4×	691 0.3×	1.9k 1.2×	1.7k 1.4×	1.9k 2.0×	86	14.0k
Cédric Notredame Spain	41	9.5k 1.3×	1.6k 0.8×	1.8k 1.1×	982 0.8×	1.8k 1.8×	105	13.3k
Michael Smoot United States	9	5.9k 0.8×	819 0.4×	2.0k 1.2×	1.1k 0.9×	1.1k 1.2×	11	9.1k
Thomas Dandekar Germany	61	8.6k 1.2×	608 0.3×	1.8k 1.1×	1.8k 1.6×	1.3k 1.4×	369	14.8k
Mao Tanabe Japan	13	12.9k 1.8×	2.5k 1.3×	1.9k 1.2×	1.9k 1.6×	1.7k 1.8×	31	19.7k
Beifang Niu China	18	9.4k 1.3×	2.2k 1.1×	1.8k 1.1×	2.5k 2.1×	1.4k 1.5×	55	14.7k

Countries citing papers authored by Vladimir B. Bajić

Since Specialization

Citations

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

Fields of papers citing papers by Vladimir B. Bajić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladimir B. Bajić. 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 Vladimir B. Bajić. The network helps show where Vladimir B. Bajić may publish in the future.

Co-authorship network of co-authors of Vladimir B. Bajić

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir B. Bajić. A scholar is included among the top collaborators of Vladimir B. Bajić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vladimir B. Bajić. Vladimir B. Bajić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cao, Huiluo, Yanran Li, Zeling Xu, et al.. (2019). Uncoupled Quorum Sensing Modulates the Interplay of Virulence and Resistance in a Multidrug-Resistant Clinical Pseudomonas aeruginosa Isolate Belonging to the MLST550 Clonal Complex. Antimicrobial Agents and Chemotherapy. 63(4). 19 indexed citations

Alam, Tanvir, Meshari Alazmi, Afaque A. Momin, et al.. (2019). Proteome-level assessment of origin, prevalence and function of leucine-aspartic acid (LD) motifs. Bioinformatics. 36(4). 1121–1128. 8 indexed citations

Wang, Guangyu, Hongyan Yin, Boyang Li, et al.. (2019). Characterization and identification of long non-coding RNAs based on feature relationship. Bioinformatics. 35(17). 2949–2956. 82 indexed citations

Zhang, Weipeng, Wei Ding, Yong‐Xin Li, et al.. (2019). Marine biofilms constitute a bank of hidden microbial diversity and functional potential. Nature Communications. 10(1). 517–517. 129 indexed citations

Kleftogiannis, Dimitrios, Haitham Ashoor, & Vladimir B. Bajić. (2018). TELS: A Novel Computational Framework for Identifying Motif Signatures of Transcribed Enhancers. Genomics Proteomics & Bioinformatics. 16(5). 332–341. 3 indexed citations

Salhi, Adil, Magbubah Essack, Tanvir Alam, et al.. (2017). DES-ncRNA: A knowledgebase for exploring information about human micro and long noncoding RNAs based on literature-mining. RNA Biology. 14(7). 963–971. 19 indexed citations

Simões, Marta Filipa, André Antunes, Cristiane Angélica Ottoni, et al.. (2015). Soil and Rhizosphere Associated Fungi in Gray Mangroves (Avicennia Marina) from the Red Sea — A Metagenomic Approach. Genomics Proteomics & Bioinformatics. 13(5). 310–320. 68 indexed citations

Antunes, André, Intikhab Álam, Marta Filipa Simões, et al.. (2015). First Insights into the Viral Communities of the Deep-Sea Anoxic Brines of the Red Sea. Genomics Proteomics & Bioinformatics. 13(5). 304–309. 18 indexed citations

Ngugi, David Kamanda, Jochen Blom, Intikhab Álam, et al.. (2014). Comparative genomics reveals adaptations of a halotolerant thaumarchaeon in the interfaces of brine pools in the Red Sea. The ISME Journal. 9(2). 396–411. 51 indexed citations

10.

Sagar, Sunil, Luke Esau, Guishan Zhang, et al.. (2013). Induction of apoptosis in cancer cell lines by the Red Sea brine pool bacterial extracts. BMC Complementary and Alternative Medicine. 13(1). 344–344. 29 indexed citations

11.

Chowdhary, Rajesh, Sin Lam Tan, Giulio Pavesi, et al.. (2012). A Database of Annotated Promoters of Genes Associated with Common Respiratory and Related Diseases. American Journal of Respiratory Cell and Molecular Biology. 47(1). 112–119. 9 indexed citations

12.

Kulakovskiy, Ivan V., Yulia A. Medvedeva, Ulf Schaefer, et al.. (2012). HOCOMOCO: a comprehensive collection of human transcription factor binding sites models. Nucleic Acids Research. 41(D1). D195–D202. 162 indexed citations

13.

Kaur, Mandeep, et al.. (2010). 5-HTTLPR Polymorphism: Analysis in South African Autistic Individuals. Human Biology. 82(3). 291–300. 5 indexed citations

14.

Meier, Stuart, et al.. (2008). Co-expression and promoter content analyses assign a role in biotic and abiotic stress responses to plant natriuretic peptides. BMC Plant Biology. 8(1). 24–24. 53 indexed citations

15.

Bajić, Vladimir B., et al.. (2002). Artificial Neural Networks Based Systems for Recognition of Genomic Signals and Regions: A Review. Informatica (slovenia). 26(4). 389–400. 6 indexed citations

16.

Ma, Zixiao, Vladimir B. Bajić, & Daniel W. C. Ho. (1999). Neural network based adaptive internal model control for nonlinear plants. 7. 63–78.

17.

Sha, Daohang & Vladimir B. Bajić. (1999). Adaptive On-line ANN Learning Algorithm and Application to Identification of Non-linear Systems.. Informatica (slovenia). 23. 3 indexed citations

18.

Sha, Daohang & Vladimir B. Bajić. (1999). Robust Fuzzy Discrete Sliding Mode Control Based On Lyapunovs Direct Method.

19.

Bajić, Vladimir B., et al.. (1989). Stability robustness with respect to resistances of a class of singular nonlinear circuits. 381–384.

20.

Bajić, Vladimir B.. (1984). CHOICE OF TRAVEL MODE FOR WORK TRIPS: SOME FINDINGS FOR METROPOLITAN TORONTO. 11(1). 5 indexed citations

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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