Amit K. Dash

407 citations
32 papers · 312 · h-index 9

Impact in

Papers in

    • Estrogen and related hormone effects 5
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Rice Cultivation and Yield Improvement 6
    • GABA and Rice Research 5

Amit K. Dash

31 papers receiving 304 citations

Peers

Amit K. Dash
Comparison fields: 5 of 70
  • Soil Science 27
  • Plant Science 97
  • Genetics 58
  • Molecular Medicine 10
  • Pharmacology 15
Replace Sushmita Singh with:
Sushmita Singh India
Yanyan Li China
Joshua Habiger United States
S. Vennila India
Ming Cheng China
Yixiong Bai China
Sang-In Shim South Korea
Yuhan Liu China
Ziyuan Wang China
Paula García-Ibáñez Spain
Amit K. Dash relative to Sushmita Singh India Sushmita Singh's profile →
Citations per field
00.5×2×2.6×
Sushmita Singh · 1×
Citations per year

Countries citing papers authored by Amit K. Dash

Since Specialization
Citations

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

Fields of papers citing papers by Amit K. Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit K. Dash. 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 Amit K. Dash. The network helps show where Amit K. Dash may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200136
2 200432
3 202227
4 202223
5 201823
6 201722
7 201621
8 202319
9 201717
10 20169
11 20219
12 20169
13 20188
14 20246
15 20146
16
Effect of genotype on anther culture response in indica rice hybrids of maintainer lines
20145
17
Molecular and morphological characterization of Indian rice hybrids
20145
18 20124
19 20244
20 20243

About Amit K. Dash

Amit K. Dash is a scholar working on Genetics, Plant Science, Soil Science, Complementary and alternative medicine and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 312 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (6 papers), Estrogen and related hormone effects (5 papers), GABA and Rice Research (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Agricultural Science and Fertilization (3 papers), Retinoids in leukemia and cellular processes (2 papers), Solar Thermal and Photovoltaic Systems (2 papers) and Phytochemicals and Medicinal Plants (2 papers). The work is most often cited by research in Soil Science (27 citations), Plant Science (97 citations), Genetics (58 citations), Molecular Medicine (10 citations) and Pharmacology (15 citations). Amit K. Dash has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Rakesh K. Tyagi, Christopher J. Destache, Christine Larsen, Biswapati Mandal, Kalaiarasan Ponnusamy, G. J. N. Rao, Jawahar Lal Katara, Danthasinghe Waduge Badrajee Piyarathna, Sanjay Agrawal and William C. Krause. Their work appears in journals such as Chromosome Research, Environmental Monitoring and Assessment, Frontiers in Plant Science, The Journal of Agricultural Science 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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