Diana P. Bratu

3.1k citations
22 papers · 2.4k indexed · 1 hit paper · h-index 12
Topics
Advanced biosensing and bioanalysis techniques (10 papers)RNA Research and Splicing (7 papers)RNA and protein synthesis mechanisms (5 papers)

In The Last Decade

Diana P. Bratu

20 papers receiving 2.4k citations

Hit Papers

Multicolor molecular beacons for allele discrimination199820262007201619982505007501000

Peers

Diana P. Bratu
Comparison fields: 5 of 98
  • Molecular Biology 2.1k
  • Biomedical Engineering 395
  • Plant Science 340
  • Cancer Research 297
  • Ecology 144
Replace Sumedha D. Jayasena with:
Sumedha D. Jayasena United States
Jane Z. Sanders United States
Andrew Lee United States
Barry Polisky United States
Gregor Witte Germany
Mitchell R. O’Connell United States
Roeland W. Dirks Netherlands
David R. Engelke United States
Colin Echeverría Aitken United States
Ming C. Hammond United States
Diana P. Bratu relative to Sumedha D. Jayasena United States Sumedha D. Jayasena's profile →
Citations per field
00.5×1.5×
Sumedha D. Jayasena · 1×
Citations per year

Countries citing papers authored by Diana P. Bratu

Since Specialization
Citations

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

Fields of papers citing papers by Diana P. Bratu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana P. Bratu. 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 Diana P. Bratu. The network helps show where Diana P. Bratu may publish in the future.

Co-authorship network of co-authors of Diana P. Bratu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 6
4 0
5 2
6 6
7 4
8 89
9 25
10 3
11 44
12 25
13 22
14 240
15 17
16 25
17 416
18
Molecular beacons light the way: Imaging native mRNAs in living cells.
6
19 63
20
Multicolor molecular beacons for allele discriminationbreakdown →
1090

About Diana P. Bratu

Diana P. Bratu is a scholar working on Molecular Biology, Virology and Genetics, having authored 22 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), RNA Research and Splicing (7 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cancer Research (297 citations) and Aging (31 citations). Diana P. Bratu has collaborated with scholars based in United States, Switzerland and Jamaica. Frequent co-authors include Sanjay Tyagi, Fred Russell Kramer, Carla Klattenhoff, William E. Theurkauf, Musa M. Mhlanga, Byeong-Jik Cha, Tingting Du, Klaus Förstemann, Yukihide Tomari and Ahmet M. Denli. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Nature Biotechnology.

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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