S.M. Kelkar

441 citations
19 papers · 358 · h-index 9

Impact in

Papers in

S.M. Kelkar

19 papers receiving 305 citations

Peers

S.M. Kelkar
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 145
  • Biochemistry 31
  • Complementary and alternative medicine 41
  • Pharmacology 39
  • Plant Science 158
Replace Masashi KADOYA with:
Masashi KADOYA Japan
E. Edwin Jarald India
G Vanithakumari India
M Jegadeesan India
Foroogh Namjoyan Iran
Hyeon‐A Kim South Korea
Félicien Mushagalusa Kasali Democratic Republic of the Congo
L Ozdín Slovakia
Ch. Appa Rao India
Geetu Singh India
S.M. Kelkar relative to Masashi KADOYA Japan Masashi KADOYA's profile →
Citations per field
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Masashi KADOYA · 1×
Citations per year

Countries citing papers authored by S.M. Kelkar

Since Specialization
Citations

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

Fields of papers citing papers by S.M. Kelkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside S.M. Kelkar, 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 S.M. Kelkar Line = papers co-authored together S.M. Kelkar links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Hypoglycemic activity of Eugenia jambolana and Ficus bengalensis: mechanism of action.
1992136
2 199450
3
Alternative routes of carbohydrate metabolism in halophilic archaebacteria.
198841
4 199722
5 200019
6
Determination of antidiabetic activity in Allium cepa (onion) tissue cultures.
200117
7 198812
8 197212
9 199511
10 19948
11 19958
12 19977
13 19914
14 19963
15 19773
16 19862
17
Pentose synthesis in glucose-grown cells of Lactobacillus casei.
19901
18 19941
19 19961

About S.M. Kelkar

S.M. Kelkar is a scholar working on Molecular Biology, Plant Science, Cell Biology, Food Science and Surgery, having authored 19 papers that have together received 358 indexed citations. Recurring topics across this work include Polysaccharides Composition and Applications (3 papers), Polysaccharides and Plant Cell Walls (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Pancreatic function and diabetes (2 papers), Neonatal Health and Biochemistry (2 papers), Immunotherapy and Immune Responses (2 papers), Aldose Reductase and Taurine (2 papers) and Plant tissue culture and regeneration (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (145 citations), Biochemistry (31 citations), Complementary and alternative medicine (41 citations), Pharmacology (39 citations) and Plant Science (158 citations). S.M. Kelkar has collaborated with scholars based in India. Frequent co-authors include G.S. Kaklij, Madhusudan Y. Kamat, Wijaya Altekar, L.J. Parekh, Vishwas A. Bapat, G. B. Nadkarni, Mohan Shenoy, T.P.A. Devasagayam, M. R. Heble and Krishna B. Sainis. Their work appears in journals such as Cancer Letters, Biotechnology Letters, Phytomedicine, Phytotherapy Research and Analytical Letters.

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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