V. Prasanna

964 total citations · 1 hit paper
7 papers, 758 citations indexed

About

V. Prasanna is a scholar working on Plant Science, Food Science and Forestry. According to data from OpenAlex, V. Prasanna has authored 7 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Food Science and 1 paper in Forestry. Recurrent topics in V. Prasanna's work include Postharvest Quality and Shelf Life Management (6 papers), Polysaccharides Composition and Applications (5 papers) and Polysaccharides and Plant Cell Walls (5 papers). V. Prasanna is often cited by papers focused on Postharvest Quality and Shelf Life Management (6 papers), Polysaccharides Composition and Applications (5 papers) and Polysaccharides and Plant Cell Walls (5 papers). V. Prasanna collaborates with scholars based in India. V. Prasanna's co-authors include Rudrapatnam N. Tharanathan, Thangavelu Prabha, K.V. Harish Prashanth, M. Kapoor and Bhagyalakshmi Neelwarne and has published in prestigious journals such as Food Chemistry, Critical Reviews in Food Science and Nutrition and Journal of the Science of Food and Agriculture.

In The Last Decade

V. Prasanna

7 papers receiving 720 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fruit Ripening Phenomena–An Overview

2007 607 citations V. Prasanna, Thangavelu Prabha et al. Critical Reviews in Food Science and Nutrition profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
V. Prasanna India	7	622	190	144	137	72	7	758
T.M.M. Malundo United States	9	535 0.9×	223 1.2×	103 0.7×	135 1.0×	35 0.5×	15	714
V. Eyarkai Nambi India	12	500 0.8×	302 1.6×	87 0.6×	118 0.9×	44 0.6×	33	768
Anthony Keith Thompson United Kingdom	15	627 1.0×	201 1.1×	94 0.7×	119 0.9×	100 1.4×	56	846
Luis María Rodoni Argentina	14	493 0.8×	163 0.9×	99 0.7×	202 1.5×	74 1.0×	22	669
Nancy Jung Chen United States	12	572 0.9×	105 0.6×	116 0.8×	119 0.9×	89 1.2×	19	678
Selman Uluışık Türkiye	9	701 1.1×	145 0.8×	243 1.7×	119 0.9×	59 0.8×	22	862
S. C. Tan Australia	13	591 1.0×	145 0.8×	183 1.3×	208 1.5×	71 1.0×	22	720
Maratab Ali China	19	483 0.8×	209 1.1×	129 0.9×	87 0.6×	79 1.1×	44	737
Kietsuda Luengwilai Thailand	14	467 0.8×	110 0.6×	158 1.1×	75 0.5×	87 1.2×	30	596
Mônica Maria de Almeida Lopes Brazil	13	325 0.5×	160 0.8×	77 0.5×	145 1.1×	136 1.9×	31	566

Countries citing papers authored by V. Prasanna

Since Specialization

Citations

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

Fields of papers citing papers by V. Prasanna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Prasanna

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Prashanth, K.V. Harish, et al.. (2019). Structural diversity and prebiotic potential of short chain β-manno-oligosaccharides generated from guar gum by endo-β-mannanase (ManB-1601). Carbohydrate Research. 486. 107822–107822. 37 indexed citations

2.

Prasanna, V., Thangavelu Prabha, & Rudrapatnam N. Tharanathan. (2007). Fruit Ripening Phenomena–An Overview. Critical Reviews in Food Science and Nutrition. 47(1). 1–19. 607 indexed citations breakdown →

3.

Prasanna, V., Thangavelu Prabha, & Rudrapatnam N. Tharanathan. (2005). Multiple forms of polygalacturonase from mango (Mangifera indica L. cv Alphonso) fruit. Food Chemistry. 95(1). 30–36. 25 indexed citations

4.

Prasanna, V., et al.. (2004). Multiple forms of β‐galactosidase from mango (Mangifera indica L Alphonso) fruit pulp. Journal of the Science of Food and Agriculture. 85(5). 797–803. 20 indexed citations

5.

Prasanna, V., et al.. (2004). Pectic polysaccharides of mango (Mangifera indica L): structural studies. Journal of the Science of Food and Agriculture. 84(13). 1731–1735. 23 indexed citations

6.

Prasanna, V., et al.. (2003). Pectic polysaccharides during ripening of mango (Mangifera indica L). Journal of the Science of Food and Agriculture. 83(11). 1182–1186. 31 indexed citations

7.

Neelwarne, Bhagyalakshmi, et al.. (2002). BIOCHEMICAL STUDIES RELATED TO TEXTURAL REGULATION DURING RIPENING OF BANANA AND MANGO FRUIT. Acta Horticulturae. 717–724. 15 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.

Explore authors with similar magnitude of impact