M. Yashini

470 citations
8 papers · 349 · h-index 6

Impact in

  • Food Science top 10%
    • Proteins in Food Systems
    • Polysaccharides Composition and Applications
    • Food Chemistry and Fat Analysis
    • Food composition and properties

Papers in

M. Yashini

8 papers receiving 343 citations

Peers

M. Yashini
Comparison fields: 5 of 64
  • Food Science 106
  • Nutrition and Dietetics 63
  • Animal Science and Zoology 31
  • Biomedical Engineering 121
  • Bioengineering 14
Replace Sumei Hu with:
Sumei Hu China
Yuanyuan Hui China
L.B.J.M. Berendsen Netherlands
Kazunori Otobe Japan
Youlin Zhang China
Chong Sun China
Kevin Reed United States
Anand Subramanian United States
Xuerui Zhu China
Brajesh Kumar Panda India
M. Yashini relative to Sumei Hu China Sumei Hu's profile →
Citations per field
00.5×2.9×
Sumei Hu · 1×
Citations per year

Countries citing papers authored by M. Yashini

Since Specialization
Citations

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

Fields of papers citing papers by M. Yashini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside M. Yashini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Yashini Line = papers co-authored together M. Yashini links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2021154
2 201971
3 202144
4 202241
5 202121
6 202212
7 20245
8 20251

About M. Yashini

M. Yashini is a scholar working on Biomedical Engineering, Molecular Biology, Nutrition and Dietetics, Food Science and Spectroscopy, having authored 8 papers that have together received 349 indexed citations. Recurring topics across this work include Food composition and properties (3 papers), Biosensors and Analytical Detection (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Polysaccharides Composition and Applications (2 papers), Food Chemistry and Fat Analysis (2 papers), Terahertz technology and applications (1 paper), Advanced Chemical Sensor Technologies (1 paper) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Food Science (106 citations), Nutrition and Dietetics (63 citations), Animal Science and Zoology (31 citations), Biomedical Engineering (121 citations) and Bioengineering (14 citations). M. Yashini has collaborated with scholars based in India and Germany. Frequent co-authors include C. K. Sunil, Ashish Rawson, Nirmal Thirunavookarasu, D. V. Chidanand, R. Mahendran, Venkatachalapathy Natarajan, R. Vidyalakshmi, S. Shanmugasundaram, Sheeba Narayanan and P. Suresh Kumar. Their work appears in journals such as Food Analytical Methods, Critical Reviews in Food Science and Nutrition, Food Reviews International, Journal of Food Science and Technology and Journal of the Indian Chemical Society.

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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