C. Nandini

1.6k citations
82 papers · 1.2k · h-index 16

Impact in

Papers in

C. Nandini

72 papers receiving 1.1k citations

Peers

C. Nandini
Comparison fields: 5 of 127
  • Cell Biology 390
  • Nutrition and Dietetics 204
  • Food Science 158
  • Immunology and Allergy 51
  • Biochemistry 46
Replace Kenji Matsumoto with:
Kenji Matsumoto Japan
Yanfei Peng China
Bing‐Hung Chen Taiwan
Syed Sayeed Ahmad South Korea
Jun Shimizu Japan
Shahid Ali South Korea
Qiaozhen Kang China
Ping Yi China
Libo Liu China
Kan He China
C. Nandini relative to Kenji Matsumoto Japan Kenji Matsumoto's profile →
Citations per field
00.5×4.6×
Kenji Matsumoto · 1×
Citations per year

Countries citing papers authored by C. Nandini

Since Specialization
Citations

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

Fields of papers citing papers by C. Nandini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. Nandini, 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 C. Nandini Line = papers co-authored together C. Nandini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006126
2 2004113
3 2006109
4 200192
5 200490
6 200155
7 201843
8 200935
9 201032
10 201831
11 201430
12
Progression of early phase diabetic nephropathy in streptozotocin-induced diabetic rats: evaluation of various kidney-related parameters.
201229
13 200328
14 201126
15 200224
16 202120
17 201015
18 200015
19 201214
20 201914

About C. Nandini

C. Nandini is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Molecular Biology, Nutrition and Dietetics and Cell Biology, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Food composition and properties (10 papers), Glycosylation and Glycoproteins Research (9 papers), Proteoglycans and glycosaminoglycans research (9 papers), Leaf Properties and Growth Measurement (9 papers), Advanced Steganography and Watermarking Techniques (8 papers), Genetics and Plant Breeding (8 papers), Biometric Identification and Security (6 papers) and Natural Antidiabetic Agents Studies (6 papers). The work is most often cited by research in Cell Biology (390 citations), Nutrition and Dietetics (204 citations), Food Science (158 citations), Immunology and Allergy (51 citations) and Biochemistry (46 citations). C. Nandini has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Paramahans V. Salimath, Kazuyuki Sugahara, Nobuyuki Itoh, Dianhua Qiao, Gui Su, Kristy Meyer, Shahriar Salamat, Andreas Friedl, Tadahisa Mikami and Mitsuhiro Ohta. Their work appears in journals such as Journal of Biological Chemistry, Food Chemistry, International Journal of Biological Macromolecules, The Journal of Nutritional Biochemistry and Journal of Agricultural and Food Chemistry.

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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