Sunil Kumar Verma

69 papers receiving 898 citations

Peers

Sunil Kumar Verma
Comparison fields: 5 of 107
  • Soil Science 155
  • Agronomy and Crop Science 108
  • Ecology 248
  • Genetics 242
  • Plant Science 283
Replace Achmad Farajallah with:
Achmad Farajallah Indonesia
L.W. Murray United States
Marc W. Schmid Switzerland
Allan T. Showler United States
Patrice Cadet France
C.M. Ferguson New Zealand
Faïek Errouissi France
Pascal Mirleau France
Genevieve Dawn Thompson South Africa
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Citations per field
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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 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002203
2 2015142
3 201967
4 200555
5 201539
6 200332
7 201129
8 201124
9
Conservation of wild animals by assisted reproduction and molecular marker technology.
200321
10 199921
11 200820
12 200719
13 201419
14 202418
15 201217
16 200417
17
QTL for grain yield under water stress and non-stress conditions over years in rice ('Oryza sativa' L.)
201413
18 200113
19 202211
20
Soil Fertility Status and Correlation of Available Macro and Micronutrients in Chambal Region of Madhya Pradesh
201411

About Sunil Kumar Verma

Sunil Kumar Verma is a scholar working on Soil Science, Agronomy and Crop Science, Plant Science, Genetics and Ecology, having authored 77 papers that have together received 965 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 diversity and population structure (6 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Soil erosion and sediment transport (6 papers), Identification and Quantification in Food (5 papers) and GABA and Rice Research (5 papers). The work is most often cited by research in Soil Science (155 citations), Agronomy and Crop Science (108 citations), Ecology (248 citations), Genetics (242 citations) and Plant Science (283 citations). Sunil Kumar Verma has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Lalji Singh, Ram Swaroop Meena, Sandeep Kumar, Jitendra Singh Bohra, Vijay Singh Meena, Sandeep Kumar Gupta, Uday Kishore, Gourisankar Pradhan, Peter J. Parker and Trivadi Sundaram Ganesan. Their work appears in journals such as Forensic Science International, Molecular Phylogenetics and Evolution, CATENA, Neurology Research International and Journal of Physics B Atomic Molecular and Optical Physics.

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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