Anuradha Pujar

3.2k citations
14 papers · 2.2k indexed · 1 hit paper · h-index 13
Topics
Genomics and Phylogenetic Studies (6 papers)Biomedical Text Mining and Ontologies (4 papers)Bioinformatics and Genomic Networks (4 papers)

In The Last Decade

Anuradha Pujar

14 papers receiving 2.2k citations

Hit Papers

The Sol Genomics Network (SGN)—from genotype to phenotype...20142026201820222014100200300400

Peers

Anuradha Pujar
Comparison fields: 5 of 123
  • Molecular Biology 1.5k
  • Plant Science 972
  • Genetics 301
  • Biomedical Engineering 167
  • Ecology 113
Replace Nunzio D’Agostino with:
Nunzio D’Agostino Italy
Octavio Martínez Mexico
Teodoro Cardi Italy
N. Williams United States
Kyung‐Ho Ma South Korea
Xinping Cui United States
Linfang Huang China
Noé Fernández‐Pozo Spain
Liangjiang Wang United States
Oscar Vorst Netherlands
Anuradha Pujar relative to Nunzio D’Agostino Italy Nunzio D’Agostino's profile →
Citations per field
00.5×4.9×
Nunzio D’Agostino · 1×
Citations per year

Countries citing papers authored by Anuradha Pujar

Since Specialization
Citations

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

Fields of papers citing papers by Anuradha Pujar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuradha Pujar

This figure shows the co-authorship network connecting the top 25 collaborators of Anuradha Pujar. A scholar is included among the top collaborators of Anuradha Pujar 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 Anuradha Pujar. Anuradha Pujar 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 38
2
The Sol Genomics Network (SGN)—from genotype to phenotype to breedingbreakdown →
493
3 15
4 457
5 98
6 207
7 376
8 139
9 61
10 114
11 81
12 45
13 110
14
Plant Ontology (PO): a controlled vocabulary of plant structures and growth stages: Research Articles
1

About Anuradha Pujar

Anuradha Pujar is a scholar working on Molecular Biology, Biochemistry and Plant Science, having authored 14 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Biomedical Text Mining and Ontologies (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Plant Science (972 citations), Molecular Biology (1.5k citations) and Sensory Systems (65 citations). Anuradha Pujar has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Lukas A. Mueller, Naama Menda, Isaak Tecle, Susan R. Strickler, Aureliano Bombarely, A. York, Mario Latendresse, Peter D. Karp, Kate Dreher and Markus Krummenacker. Their work appears in journals such as Nucleic Acids Research, PLANT PHYSIOLOGY and Plant Methods.

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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