SN Sharma

449 citations
32 papers · 330 indexed · h-index 9
Topics
Mosquito-borne diseases and control (10 papers)Wheat and Barley Genetics and Pathology (7 papers)Rice Cultivation and Yield Improvement (6 papers)
Partner nations
IndiaSwitzerlandNepal

In The Last Decade

SN Sharma

32 papers receiving 287 citations

Peers

SN Sharma
Comparison fields: 5 of 50
  • Plant Science 245
  • Agronomy and Crop Science 85
  • Public Health, Environmental and Occupational Health 81
  • Genetics 58
  • Infectious Diseases 37
Replace Solomon Mengistu with:
Solomon Mengistu Ethiopia
Melaku Wale Ethiopia
Moussa Sanogo Mali
José Reinaldo Mendes Ruas Brazil
John Mueller United States
A. Kitalyi Kenya
Aleksandra Ignjatović‐Ćupina Serbia
R. T. Barbosa Brazil
M. Villaseñor United States
Violeta Caro-Petrović Serbia
SN Sharma relative to Solomon Mengistu Ethiopia Solomon Mengistu's profile →
Citations per field
00.5×3.2×
Solomon Mengistu · 1×
Citations per year

Countries citing papers authored by SN Sharma

Since Specialization
Citations

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

Fields of papers citing papers by SN Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of SN Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of SN Sharma. A scholar is included among the top collaborators of SN Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with SN Sharma. SN Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 1
3 1
4 1
5 1
6 1
7 2
8 6
9 3
10 6
11 5
12 3
13 18
14 81
15 5
16
Genetic Analysis of Yield and its Component Traits in Barley
1
17
Combining Ability over Environments for Yield and Yield Contributing Traits in Six-Rowed Barley (Hordeum vulgare L.)
2
18
Relative response of short and medium duration rice to rate and time of nitrogen application.
1
19 2
20
Relative efficiency of urea, nitrification-inhibitor treated urea and sulphur-coated urea for rice.
3

About SN Sharma

SN Sharma is a scholar working on Modeling and Simulation, Soil Science and Infectious Diseases, having authored 32 papers that have together received 330 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (10 papers), Wheat and Barley Genetics and Pathology (7 papers) and Rice Cultivation and Yield Improvement (6 papers). The work is most often cited by research in Agronomy and Crop Science (85 citations), Plant Science (245 citations) and Soil Science (28 citations). SN Sharma has collaborated with scholars based in India, Switzerland and Nepal. Frequent co-authors include Shourabh Joshi, Rajni Sharma, Yogendra Kumar Sharma, Shiv Lal, S. M. Kaul, Rajendra Prasad, Shiv Lal, J Nandi, Shyam Lal and Chitra Kumar Gurung. Their work appears in journals such as Scientia Horticulturae, Nutrient Cycling in Agroecosystems and The Journal of Agricultural Science.

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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