Rammyani Bagchi

681 citations
7 papers · 493 indexed · 1 hit paper · h-index 6
Topics
Plant nutrient uptake and metabolism (3 papers)Plant Molecular Biology Research (2 papers)CRISPR and Genetic Engineering (2 papers)

In The Last Decade

Rammyani Bagchi

7 papers receiving 488 citations

Hit Papers

SCFTIR1/AFB-Based Auxin Perception: Mechanism and Role in...20152026201820222015100200300

Peers

Rammyani Bagchi
Comparison fields: 5 of 39
  • Plant Science 467
  • Molecular Biology 302
  • Agronomy and Crop Science 17
  • Genetics 11
  • Computer Networks and Communications 9
Replace Suruchi Roychoudhry with:
Suruchi Roychoudhry United Kingdom
Nan Nan China
Sharmila Singh India
Huini Tang China
Swati Megha Canada
H.‐J. Jacobsen Germany
Shoucheng Chai China
Jasper Dugardeyn Belgium
Xiuqin Qiao China
Yoon‐Sun Hur South Korea
Rammyani Bagchi relative to Suruchi Roychoudhry United Kingdom Suruchi Roychoudhry's profile →
Citations per field
00.5×3.3×
Suruchi Roychoudhry · 1×
Citations per year

Countries citing papers authored by Rammyani Bagchi

Since Specialization
Citations

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

Fields of papers citing papers by Rammyani Bagchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rammyani Bagchi

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 3
2 6
3 34
4 30
5
SCFTIR1/AFB-Based Auxin Perception: Mechanism and Role in Plant Growth and Developmentbreakdown →
349
6 6
7 65

About Rammyani Bagchi

Rammyani Bagchi is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology, having authored 7 papers that have together received 493 indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (3 papers), Plant Molecular Biology Research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Plant Science (467 citations), Molecular Biology (302 citations) and Agronomy and Crop Science (17 citations). Rammyani Bagchi has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Mohammad Salehin, Mark Estelle, Rebecca Dickstein, D. Janine Sherrier, Vladimir Shulaev, Carolina Salazar, Verena Jeschke, Meike Burow, Daniel J. Kliebenstein and Ella Katz. Their work appears in journals such as The EMBO Journal, The Plant Cell and PLANT PHYSIOLOGY.

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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