Vidya C. Darbari

440 total citations
10 papers, 323 citations indexed

About

Vidya C. Darbari is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Vidya C. Darbari has authored 10 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Ecology. Recurrent topics in Vidya C. Darbari's work include Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (3 papers) and Bacteriophages and microbial interactions (2 papers). Vidya C. Darbari is often cited by papers focused on Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (3 papers) and Bacteriophages and microbial interactions (2 papers). Vidya C. Darbari collaborates with scholars based in United Kingdom, United States and China. Vidya C. Darbari's co-authors include Gabriel Waksman, Xiaodong Zhang, Nan Zhang, Martin Buck, Chi T. Wong, Fuzhou Ye, Duo Lü, Katsuhiko Murakami, Richard L. Gourse and Jared T. Winkelman and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Vidya C. Darbari

10 papers receiving 320 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vidya C. Darbari 209 120 64 60 37 10 323
Gili Rosenberg 231 1.1× 72 0.6× 51 0.8× 89 1.5× 24 0.6× 11 396
Katarzyna Mickiewicz 170 0.8× 107 0.9× 54 0.8× 72 1.2× 67 1.8× 12 353
Gideon Mamou 265 1.3× 144 1.2× 39 0.6× 117 1.9× 32 0.9× 11 391
Yaramah M. Zalucki 244 1.2× 123 1.0× 24 0.4× 67 1.1× 50 1.4× 20 414
Jozefien De Geyter 335 1.6× 211 1.8× 57 0.9× 93 1.6× 39 1.1× 7 456
Katarzyna Węgrzyn 236 1.1× 172 1.4× 61 1.0× 73 1.2× 98 2.6× 31 419
Nicholas Sofos 267 1.3× 105 0.9× 39 0.6× 71 1.2× 36 1.0× 13 356
Stefan Behr 284 1.4× 227 1.9× 92 1.4× 62 1.0× 37 1.0× 12 483
Saurabh Kumar Bhattacharya 202 1.0× 113 0.9× 35 0.5× 87 1.4× 13 0.4× 25 409
Georgia L. Isom 187 0.9× 179 1.5× 58 0.9× 46 0.8× 107 2.9× 12 344

Countries citing papers authored by Vidya C. Darbari

Since Specialization
Citations

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

Fields of papers citing papers by Vidya C. Darbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vidya C. Darbari. 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 Vidya C. Darbari. The network helps show where Vidya C. Darbari may publish in the future.

Co-authorship network of co-authors of Vidya C. Darbari

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

All Works

10 of 10 papers shown
1.
Khursheed, Anum, Islam Bogachan Tahirbegi, Qi Shang, et al.. (2025). Amyloid-β oligomers, curvilinear and annular assemblies, imaged by cryo-ET, cryo-EM, and AFM. Science Advances. 11(35). eadx9030–eadx9030. 1 indexed citations
2.
Rehman, Saima, Amin Sagar, Charlotte J. C. Edwards‐Gayle, et al.. (2022). Molecular and cellular insight into Escherichia coli SslE and its role during biofilm maturation. npj Biofilms and Microbiomes. 8(1). 9–9. 11 indexed citations
3.
Wong, Chi T., et al.. (2020). Mycobacterium tuberculosis Uses Mce Proteins to Interfere With Host Cell Signaling. Frontiers in Molecular Biosciences. 6. 149–149. 23 indexed citations
4.
Darbari, Vidya C., Jonah Ciccone, Jagdish Suresh Patel, et al.. (2020). Electrostatic Switching Controls Channel Dynamics of the Sensor Protein VirB10 in A. tumefaciens Type IV Secretion System. ACS Omega. 5(7). 3271–3281. 7 indexed citations
5.
Ye, Fuzhou, et al.. (2017). Structures of RNA Polymerase Closed and Intermediate Complexes Reveal Mechanisms of DNA Opening and Transcription Initiation. Molecular Cell. 67(1). 106–116.e4. 40 indexed citations
6.
Sawicka, Marta, Paulina H. Wanrooij, Vidya C. Darbari, et al.. (2016). The Dimeric Architecture of Checkpoint Kinases Mec1ATR and Tel1ATM Reveal a Common Structural Organization. Journal of Biological Chemistry. 291(26). 13436–13447. 36 indexed citations
7.
Zhang, Nan, et al.. (2016). The bacterial enhancer-dependent RNA polymerase. Biochemical Journal. 473(21). 3741–3753. 34 indexed citations
8.
Yang, Yun, Vidya C. Darbari, Nan Zhang, et al.. (2015). Structures of the RNA polymerase-σ 54 reveal new and conserved regulatory strategies. Science. 349(6250). 882–885. 69 indexed citations
9.
Darbari, Vidya C. & Gabriel Waksman. (2015). Structural Biology of Bacterial Type IV Secretion Systems. Annual Review of Biochemistry. 84(1). 603–629. 99 indexed citations
10.
Darbari, Vidya C., Duo Lü, Patricia C. Burrows, et al.. (2014). Molecular basis of nucleotide-dependent substrate engagement and remodeling by an AAA+ activator. Nucleic Acids Research. 42(14). 9249–9261. 3 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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