R. Sugadev

562 citations
27 papers · 306 · h-index 12

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 3
    • Circular RNAs in diseases 2
    • Medicinal Plants and Bioactive Compounds 2
    • Cancer, Hypoxia, and Metabolism 3

R. Sugadev

26 papers receiving 300 citations

Peers

R. Sugadev
Comparison fields: 5 of 78
  • Cancer Research 45
  • Complementary and alternative medicine 17
  • Molecular Biology 148
  • Pharmacology 34
  • Applied Microbiology and Biotechnology 3
Replace Jen‐Chih Tseng with:
Jen‐Chih Tseng Taiwan
J.‐H. Wang China
Kênya Silva Cunha Brazil
Hyung Keun Kim South Korea
Mohadeseh Hasanpourghadi Malaysia
Beste Mutlu United States
Zikang Zhang China
Vinay Randhawa India
Lalana Kongkaneramit Thailand
Xiaoxian Gan China
R. Sugadev relative to Jen‐Chih Tseng Taiwan Jen‐Chih Tseng's profile →
Citations per field
00.5×1.5×1.8×
Jen‐Chih Tseng · 1×
Citations per year

Countries citing papers authored by R. Sugadev

Since Specialization
Citations

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

Fields of papers citing papers by R. Sugadev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201835
2 201234
3 201328
4 200323
5 201318
6 200218
7 201518
8 201815
9 201315
10 201813
11 200812
12 201511
13 201610
14 20127
15 20197
16 20206
17 20135
18 20165
19 20095
20
Structural analysis of NADPH depleted bovine liver catalase and its inhibitor complexes.
20115

About R. Sugadev

R. Sugadev is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Epidemiology and Genetics, having authored 27 papers that have together received 306 indexed citations. Recurring topics across this work include High Altitude and Hypoxia (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Data-Driven Disease Surveillance (3 papers), Fungal Biology and Applications (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Circular RNAs in diseases (2 papers), Nutritional Studies and Diet (2 papers) and Medicinal Plants and Bioactive Compounds (2 papers). The work is most often cited by research in Cancer Research (45 citations), Complementary and alternative medicine (17 citations), Molecular Biology (148 citations), Pharmacology (34 citations) and Applied Microbiology and Biotechnology (3 citations). R. Sugadev has collaborated with scholars based in India and United States. Frequent co-authors include Yogendra Kumar Sharma, Anju Bansal, Shashi Bala Singh, M. N. Ponnuswamy, Jaspreet Jain, Lilly Ganju, Ashish Kumar, Rajkumar Tulsawani, S.K. Burley and Shivani Verma. Their work appears in journals such as Biochemistry, Database, Proteins Structure Function and Bioinformatics, Vaccine and Applied Microbiology and Biotechnology.

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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