P. G. Tulpule

716 citations
40 papers · 545 · h-index 15

Impact in

Papers in

P. G. Tulpule

38 papers receiving 476 citations

Peers

P. G. Tulpule
Comparison fields: 5 of 89
  • Plant Science 253
  • Clinical Biochemistry 34
  • Cell Biology 74
  • Nutrition and Dietetics 67
  • Pharmacology 32
Replace R. E. Dailey with:
R. E. Dailey United States
D. S. Wagle India
Marc Bentéjac France
O. Bassir Nigeria
Maria Bassi Italy
S. Halevy Israel
Christian A. Barth Germany
R. K. Raheja India
Leif Rein Njaa Norway
Kurt Boudonck United Kingdom
P. G. Tulpule relative to R. E. Dailey United States R. E. Dailey's profile →
Citations per field
00.5×1.5×
R. E. Dailey · 1×
Citations per year

Countries citing papers authored by P. G. Tulpule

Since Specialization
Citations

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

Fields of papers citing papers by P. G. Tulpule

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. G. Tulpule. 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 P. G. Tulpule. The network helps show where P. G. Tulpule may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 195550
2 198337
3 198236
4 196436
5 196733
6 198225
7 197825
8 197623
9 195221
10 196421
11
Aflatoxin-induced hepatic fibrosis in rhesus Monkeys.
196520
12 197018
13 198017
14 195416
15 197315
16 197614
17 197213
18
Incidence of toxigenic strains of Aspergillus flavus affecting groundnut crop in certain coastal districts of India.
196511
19 198211
20 19639

About P. G. Tulpule

P. G. Tulpule is a scholar working on Plant Science, Molecular Biology, Epidemiology, Pharmacology and Animal Science and Zoology, having authored 40 papers that have together received 545 indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (10 papers), Liver Disease Diagnosis and Treatment (5 papers), Peanut Plant Research Studies (4 papers), Metabolism and Genetic Disorders (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Muscle metabolism and nutrition (2 papers), Child Nutrition and Water Access (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Plant Science (253 citations), Clinical Biochemistry (34 citations), Cell Biology (74 citations), Nutrition and Dietetics (67 citations) and Pharmacology (32 citations). P. G. Tulpule has collaborated with scholars based in India, United States and Vietnam. Frequent co-authors include C. Gopalan, John Williams, V. N. Patwardhan, C. Rukmini, K. Suryanarayana Rao, Eepsita Priyadarshini, Ramesh V. Bhat, V. Nagarajan, P. Srinivasa Rao and Ayyalasomayajula Vajreswari. Their work appears in journals such as American Journal of Clinical Nutrition, Nature, Cellular and Molecular Life Sciences, Journal of the American Oil Chemists Society and The Lancet.

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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