V. Suba

828 citations
33 papers · 678 · h-index 14

Impact in

Papers in

V. Suba

32 papers receiving 576 citations

Peers

V. Suba
Comparison fields: 5 of 84
  • Complementary and alternative medicine 163
  • Pharmacology 129
  • Endocrinology, Diabetes and Metabolism 146
  • Toxicology 27
  • Biochemistry 42
Replace Niyati Acharya with:
Niyati Acharya India
Wantana Reanmongkol Thailand
Reecha Madaan India
Iqbal Azhar Pakistan
Suresh Purohit India
Sushila Rathee India
Chanida Palanuvej Thailand
Protapaditya Dey
Karim Raafat Lebanon
M. Ratheesh India
V. Suba relative to Niyati Acharya India Niyati Acharya's profile →
Citations per field
00.5×2×2.7×
Niyati Acharya · 1×
Citations per year

Countries citing papers authored by V. Suba

Since Specialization
Citations

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

Fields of papers citing papers by V. Suba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000140
2 200397
3 200481
4 200540
5 200740
6 201240
7 200233
8 201031
9 201225
10 201122
11 201622
12 201520
13 201517
14 202116
15 200413
16 20135
17 20125
18
EVALUATION OF ANTIDIARRHOEAL ACTIVITY OF ETHANOLIC EXTRACT OF CELTIS TIMORENSIS LEAVES IN EXPERIMENTAL RATS.
20144
19
Pulsatile Drug Delivery System
20154
20 20124

About V. Suba

V. Suba is a scholar working on Complementary and alternative medicine, Plant Science, Food Science, Pharmacology and Pharmaceutical Science, having authored 33 papers that have together received 678 indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (5 papers), Natural Antidiabetic Agents Studies (4 papers), Essential Oils and Antimicrobial Activity (4 papers), Herbal Medicine Research Studies (4 papers), Pharmaceutical studies and practices (4 papers), Phytochemistry and biological activity of medicinal plants (3 papers), Phytochemistry and Biological Activities (3 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Complementary and alternative medicine (163 citations), Pharmacology (129 citations), Endocrinology, Diabetes and Metabolism (146 citations), Toxicology (27 citations) and Biochemistry (42 citations). V. Suba has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include T. Murugesan, Subhash C. Mandal, B. P. Saha, Subham Pal, Anirban Chaudhuri, Tuhinadri Sen, Amal Kumar Dhara, Mahesh Pal, Basudeb Saha and N. Narayanan. Their work appears in journals such as Phytotherapy Research, Journal of Ethnopharmacology, Indian Journal of Pharmaceutical Sciences, Phytomedicine and International Journal of Pharmaceutics.

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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