Vanja Perčulija

589 total citations
9 papers, 341 citations indexed

About

Vanja Perčulija is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Vanja Perčulija has authored 9 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Ecology and 1 paper in Infectious Diseases. Recurrent topics in Vanja Perčulija's work include CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (3 papers) and RNA regulation and disease (2 papers). Vanja Perčulija is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (3 papers) and RNA regulation and disease (2 papers). Vanja Perčulija collaborates with scholars based in China, South Korea and Taiwan. Vanja Perčulija's co-authors include Songying Ouyang, Bo Zhang, Xinxian Wei, Chunyan Peng, Guixiang Tong, Yu Li, Yu Li, Siqi Wang, Hongxin Guan and Han Jiang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Virology.

In The Last Decade

Vanja Perčulija

9 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vanja Perčulija China	9	237	77	31	27	26	9	341
Haidong Xu China	9	116 0.5×	70 0.9×	31 1.0×	22 0.8×	26 1.0×	15	345
Xu Feng China	14	359 1.5×	61 0.8×	61 2.0×	117 4.3×	146 5.6×	37	593
Donna M. Williams-Hill United States	10	170 0.7×	52 0.7×	20 0.6×	83 3.1×	30 1.2×	17	405
Ryan R. Chaparian United States	9	214 0.9×	34 0.4×	22 0.7×	58 2.1×	49 1.9×	10	321
Clara Amid United Kingdom	8	156 0.7×	69 0.9×	14 0.5×	23 0.9×	29 1.1×	11	259
Marco Salgado Sweden	6	229 1.0×	64 0.8×	82 2.6×	23 0.9×	45 1.7×	10	398
Mariana Reyes‐Prieto Spain	10	155 0.7×	52 0.7×	73 2.4×	25 0.9×	26 1.0×	21	312
Sofia Medvedeva United States	12	355 1.5×	212 2.8×	52 1.7×	20 0.7×	90 3.5×	23	424
Siting Wu China	11	142 0.6×	28 0.4×	13 0.4×	38 1.4×	18 0.7×	43	293
Meng‐Ze Du China	7	208 0.9×	40 0.5×	33 1.1×	18 0.7×	28 1.1×	16	276

Countries citing papers authored by Vanja Perčulija

Since Specialization

Citations

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

Fields of papers citing papers by Vanja Perčulija

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanja Perčulija

This figure shows the co-authorship network connecting the top 25 collaborators of Vanja Perčulija. A scholar is included among the top collaborators of Vanja Perčulija 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 Vanja Perčulija. Vanja Perčulija is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Zhang, Bo, et al.. (2022). Structural insights into target DNA recognition and cleavage by the CRISPR-Cas12c1 system. Nucleic Acids Research. 50(20). 11820–11833. 21 indexed citations

2.

Zhang, Bo, et al.. (2021). Mechanistic insights into the R-loop formation and cleavage in CRISPR-Cas12i1. Nature Communications. 12(1). 3476–3476. 29 indexed citations

3.

Perčulija, Vanja, et al.. (2021). Functional Features and Current Applications of the RNA‐Targeting Type VI CRISPR‐Cas Systems. Advanced Science. 8(13). 2004685–2004685. 48 indexed citations

4.

Zhou, Biao, Xiangkai Zhen, Huan Zhou, et al.. (2020). Structural and functional insights into a novel two-component endolysin encoded by a single gene in Enterococcus faecalis phage. PLoS Pathogens. 16(3). e1008394–e1008394. 33 indexed citations

5.

Guan, Hongxin, Ting Yu, Abdullah F. U. H. Saeed, et al.. (2020). Cryo-EM structures of the human PA200 and PA200-20S complex reveal regulation of proteasome gate opening and two PA200 apertures. PLoS Biology. 18(3). e3000654–e3000654. 29 indexed citations

6.

Guan, Hongxin, Jiaqi Fu, Ting Yu, et al.. (2020). Molecular Basis of Ubiquitination Catalyzed by the Bacterial Transglutaminase MavC. Advanced Science. 7(12). 2000871–2000871. 18 indexed citations

7.

Guan, Hongxin, Vanja Perčulija, Abdullah F. U. H. Saeed, et al.. (2020). Cryo-electron Microscopy Structure of the Swine Acute Diarrhea Syndrome Coronavirus Spike Glycoprotein Provides Insights into Evolution of Unique Coronavirus Spike Proteins. Journal of Virology. 94(22). 22 indexed citations

8.

Peng, Chunyan, et al.. (2019). High-throughput sequencing and analysis of microbial communities in the mangrove swamps along the coast of Beibu Gulf in Guangxi, China. Scientific Reports. 9(1). 9377–9377. 65 indexed citations

9.

Zhang, Bo, Weiwei Ye, Vanja Perčulija, et al.. (2019). Two HEPN domains dictate CRISPR RNA maturation and target cleavage in Cas13d. Nature Communications. 10(1). 2544–2544. 76 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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