Neha Salaria

421 citations
15 papers · 196 · h-index 9

Impact in

    • Wheat and Barley Genetics and Pathology
    • Plant Virus Research Studies
    • Plant Disease Resistance and Genetics
    • Plant-Microbe Interactions and Immunity
    • Plant Pathogens and Resistance
    • Genetics and Plant Breeding

Papers in

    • Plant Virus Research Studies 3
    • Plant Disease Resistance and Genetics 2
    • Plant Pathogens and Resistance 2
    • Plant-Microbe Interactions and Immunity 2
    • Postharvest Quality and Shelf Life Management 1
    • Horticultural and Viticultural Research 1
    • CRISPR and Genetic Engineering 3

Neha Salaria

13 papers receiving 191 citations

Peers

Neha Salaria
Comparison fields: 5 of 37
  • Plant Science 138
  • Biotechnology 13
  • Endocrinology 7
  • Agronomy and Crop Science 14
  • Horticulture 1
Replace Aarti Bairwa with:
Aarti Bairwa India
Seonghee Lee United States
Reza Shafiei United Kingdom
Munmun Nandi Canada
Yuliar Yuliar Indonesia
Nelson Rojas-Murcia Switzerland
Ramakrishna Chopperla India
Takahisa Yuo Japan
Nanyang Li China
Gordana Tamindžić Serbia
Neha Salaria relative to Aarti Bairwa India Aarti Bairwa's profile →
Citations per field
00.5×
Aarti Bairwa · 1×
Citations per year

Countries citing papers authored by Neha Salaria

Since Specialization
Citations

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

Fields of papers citing papers by Neha Salaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201553
2 201928
3 202228
4 201914
5 202214
6 202012
7 202112
8 202310
9 20189
10 20197
11 20215
12 20173
13 20251
14 20250
15 20250

About Neha Salaria

Neha Salaria is a scholar working on Plant Science, Molecular Biology, Biotechnology, Food Science and Pharmacology, having authored 15 papers that have together received 196 indexed citations. Recurring topics across this work include Plant Virus Research Studies (3 papers), CRISPR and Genetic Engineering (3 papers), Plant Disease Resistance and Genetics (2 papers), Plant Pathogens and Resistance (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Postharvest Quality and Shelf Life Management (1 paper) and Horticultural and Viticultural Research (1 paper). The work is most often cited by research in Plant Science (138 citations), Biotechnology (13 citations), Endocrinology (7 citations), Agronomy and Crop Science (14 citations) and Horticulture (1 citation). Neha Salaria has collaborated with scholars based in India and Sweden. Frequent co-authors include Umesh Goutam, Sarvjeet Kukreja, Rakesh Yadav, Aakash Goyal, Sundaresha Siddappa, Vinay Bhardwaj, Salej Sood, Maharishi Tomar, Baljeet Singh and Ravinder Kumar. Their work appears in journals such as Pest Management Science, Frontiers in Microbiology, Plant Cell Tissue and Organ Culture (PCTOC), Functional & Integrative Genomics and South African Journal of Botany.

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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