Paramjeet S. Bagga

1.4k citations
14 papers · 1.1k indexed · 1 hit paper · h-index 8
Topics
RNA and protein synthesis mechanisms (9 papers)DNA and Nucleic Acid Chemistry (7 papers)RNA Research and Splicing (5 papers)
Partner nations
United StatesCanada

In The Last Decade

Paramjeet S. Bagga

14 papers receiving 1.0k citations

Hit Papers

QGRS Mapper: a web-based server for predicting G-quadrupl...20062026201220192006250500750

Peers

Paramjeet S. Bagga
Comparison fields: 5 of 71
  • Molecular Biology 965
  • Ecology 102
  • Plant Science 93
  • Genetics 80
  • Cancer Research 45
Replace Lawrence D’Antonio with:
Lawrence D’Antonio United States
Walter Keller Switzerland
Olga V. Skabkina Russia
S Bass United States
Tracy Nissan Sweden
Nikolay E. Shirokikh Australia
Anshul Bhardwaj United States
Kathryn S. Campbell United States
Gilles Moyne France
Margaret K. Bradley United States
Paramjeet S. Bagga relative to Lawrence D’Antonio United States Lawrence D’Antonio's profile →
Citations per field
00.5×1.5×
Lawrence D’Antonio · 1×
Citations per year

Countries citing papers authored by Paramjeet S. Bagga

Since Specialization
Citations

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

Fields of papers citing papers by Paramjeet S. Bagga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paramjeet S. Bagga. 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 Paramjeet S. Bagga. The network helps show where Paramjeet S. Bagga may publish in the future.

Co-authorship network of co-authors of Paramjeet S. Bagga

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 45
2 30
3
Development of an undergraduate bioinformatics degree program at a liberal arts college.
3
4 3
5 5
6
QGRS Mapper: a web-based server for predicting G-quadruplexes in nucleotide sequencesbreakdown →
750
7 8
8 19
9 3
10 6
11 92
12 8
13 73
14 5

About Paramjeet S. Bagga

Paramjeet S. Bagga is a scholar working on Molecular Biology, Genetics and Hematology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), DNA and Nucleic Acid Chemistry (7 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Molecular Biology (965 citations), Ecology (102 citations) and Cancer Research (45 citations). Paramjeet S. Bagga has collaborated with scholars based in United States and Canada. Frequent co-authors include Lawrence D’Antonio, Jeffrey Wilusz, Lance P. Ford, Scott Frees, Fan Chen, Andrew J. Rainbow, Raghbir S. Athwal, Milton Ende, Jason T. L. Wang and Norman Ende. Their work appears in journals such as Nucleic Acids Research, Molecular and Cellular Biology and Photochemistry and Photobiology.

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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