Shobana Sugumar

1.9k citations
42 papers · 1.4k indexed · h-index 15

Impact in

Papers in

Shobana Sugumar

39 papers receiving 1.3k citations

Peers

Shobana Sugumar
Comparison fields: 5 of 117
  • Biochemistry 279
  • Nutrition and Dietetics 408
  • Food Science 375
  • Endocrinology, Diabetes and Metabolism 300
  • Pharmacology 116
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Hong Gao China
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Taofeek O. Ajiboye Nigeria
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Iza F. Pérez‐Ramírez Mexico
Caroline Stévigny Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Shobana Sugumar

Since Specialization
Citations

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

Fields of papers citing papers by Shobana Sugumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 20238
5 20233
6 20224
7 202224
8 202117
9 20214
10 20201
11 20185
12 201848
13 20173
14 20171
15
GENOME-WIDE ANALYSIS OF LONG NON-CODING RNA (LNCRNA) OF AUTOIMMUNE THYROID DISEASES USING BIOINFORMATICS APPROACHES
20161
16 201523
17 201548
18 2013153
19 201163
20
Evaluation of Total Tocopherol Content of Selected Edible Oils in Indian Markets
19971

About Shobana Sugumar

Shobana Sugumar is a scholar working on Endocrinology, Toxicology, Microbiology, Biochemistry and Nutrition and Dietetics, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Infections and bacterial resistance (9 papers), Bacteriophages and microbial interactions (6 papers), Food composition and properties (5 papers), Bacterial biofilms and quorum sensing (4 papers), Natural Antidiabetic Agents Studies (3 papers), Bioactive Compounds and Antitumor Agents (3 papers), Rice Cultivation and Yield Improvement (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Biochemistry (279 citations), Nutrition and Dietetics (408 citations), Food Science (375 citations), Endocrinology, Diabetes and Metabolism (300 citations) and Pharmacology (116 citations). Shobana Sugumar has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include N. G. Malleshi, K. Akhilender Naidu, Yadahally N. Sreerama, Viswanathan Mohan, Vasudevan Sudha, Kamala Krishnaswamy, Ranjit Mohan Anjana, Latha Palaniappan, Aziz Kalilur Rahiman and Ranjit Unnikrishnan. Their work appears in journals such as International Journal of Food Sciences and Nutrition, Journal of Food Science and Technology, The Indian Journal of Medical Research, Journal of Photochemistry and Photobiology B Biology and Combinatorial Chemistry & High Throughput Screening.

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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