Sunil Kumar Verma

1.3k citations
65 papers · 713 · h-index 14

Impact in

  • Genetics top 10%
    • Genetic diversity and population structure
    • Forensic and Genetic Research
  • Ecology top 10%
    • Wildlife Ecology and Conservation
    • Environmental DNA in Biodiversity Studies

Papers in

Sunil Kumar Verma

58 papers receiving 660 citations

Peers

Sunil Kumar Verma
Comparison fields: 5 of 99
  • Genetics 213
  • Ecology 200
  • Soil Science 54
  • Agronomy and Crop Science 46
  • Parasitology 27
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Citations per year

Countries citing papers authored by Sunil Kumar Verma

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil Kumar Verma. 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 Sunil Kumar Verma. The network helps show where Sunil Kumar Verma may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002195
2 200769
3 200547
4 200327
5 201124
6 201524
7 200819
8
Conservation of wild animals by assisted reproduction and molecular marker technology.
200319
9 199918
10 201117
11 201217
12 200715
13 200415
14 201415
15 200113
16
Soil Fertility Status and Correlation of Available Macro and Micronutrients in Chambal Region of Madhya Pradesh
201411
17 202210
18
QTL for grain yield under water stress and non-stress conditions over years in rice ('Oryza sativa' L.)
20149
19
Identification of microsatellite markers for fingerprinting popular Indian flax (Linum usitatissimum L.) cultivars and their utilization in seed genetic purity assessments
20149
20 20079

About Sunil Kumar Verma

Sunil Kumar Verma is a scholar working on Plant Science, Agronomy and Crop Science, Genetics, Soil Science and Molecular Biology, having authored 65 papers that have together received 713 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (17 papers), Agricultural Science and Fertilization (10 papers), Crop Yield and Soil Fertility (8 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic diversity and population structure (6 papers), GABA and Rice Research (5 papers), Genetics and Plant Breeding (5 papers) and Identification and Quantification in Food (5 papers). The work is most often cited by research in Genetics (213 citations), Ecology (200 citations), Soil Science (54 citations), Agronomy and Crop Science (46 citations) and Parasitology (27 citations). Sunil Kumar Verma has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Lalji Singh, Sandeep Kumar Gupta, Uday Kishore, Peter J. Parker, Trivadi S. Ganesan, Annapurna Nayak, Ravindra Kumar Sinha, Nagendra Singh, Vijay K. Khanna and R. K. Gupta. Their work appears in journals such as Forensic Science International, Molecular Phylogenetics and Evolution, CATENA, Protein & Cell and Land Degradation and Development.

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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