Vijay S. Thakur

507 citations
28 papers · 339 indexed · h-index 8

Vijay S. Thakur

24 papers receiving 317 citations

Peers

Vijay S. Thakur
Comparison fields: 5 of 71
  • Applied Microbiology and Biotechnology 18
  • Biochemistry 23
  • Cell Biology 54
  • Cancer Research 47
  • Geriatrics and Gerontology 11
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Magdalena Chmielewska Poland
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Citations per year

Countries citing papers authored by Vijay S. Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Vijay S. Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20249
3 20241
4 20231
5 20203
6 201936
7 20162
8 20161
9 20147
10 201430
11 20140
12 2011116
13
Development of Marssonina blotch (Marssonina coronaria) in different genotypes of apple
201110
14
Occurrence of downy mildew on pea in Himachal Pradesh.
20030
15
Studies on apple leaf microflora and its microbial relationship to the perfect stage of Venturia inaequalis after urea treatment.
20001
16
RELEVANCE OF MILLS INFECTION PERIODS TO APPLE SCAB (VENTURIA INAEQUALIS) PREDICTION AND RESCHEDULING FUNGICIDE APPLICATIONS IN HIMACHAL PRADESH
19992
17
EFFECT OF UREA ON MICROBIAL DEGRADATION OF APPLE LEAF LITTER AND ITS RELATIONSHIP TO THE INHIBITION OF PSEUDOTHECIAL DEVELOPMENT OF VENTURIA INAEQUALI S
199910
18
Studies on the Effect of Sterol Inhibitors on Apple Scab Venturia Inaequalis (Cke.) Winter Pathogenesis
19911
19
Management of fungal diseases of stone fruits with fungicides in Himachal Pradesh.
19911
20
Seed mycoflora of Amaranthus caudatus, its pathology and control.
19801

About Vijay S. Thakur

Vijay S. Thakur is a scholar working on Ecology, Evolution, Behavior and Systematics, Cell Biology and Plant Science, having authored 28 papers that have together received 339 indexed citations. Recurring topics across this work include Fungal Plant Pathogen Control (9 papers), Plant Pathogens and Fungal Diseases (7 papers), Epigenetics and DNA Methylation (3 papers), Plant Physiology and Cultivation Studies (3 papers), Banana Cultivation and Research (3 papers), Cancer Research and Treatments (2 papers), Agricultural Practices and Plant Genetics (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (18 citations), Biochemistry (23 citations) and Cell Biology (54 citations). Vijay S. Thakur has collaborated with scholars based in United States, India and China. Frequent co-authors include Sanjay Gupta, Karishma Gupta, Scott M. Welford, Brittany Aguila, Chad J. Creighton, A I Roberts, Dez J. Barbara, Xiangming Xu, Jiarong Yang and Adina Brett-Morris. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

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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