Subhash Chand

1.6k citations
118 papers · 1.1k · h-index 16

Impact in

Papers in

    • Genetics and Plant Breeding 10
    • Wheat and Barley Genetics and Pathology 6
    • Reproductive Physiology in Livestock 10
    • Livestock Management and Performance Improvement 8

Subhash Chand

104 papers receiving 1.0k citations

Peers

Subhash Chand
Comparison fields: 5 of 129
  • Agronomy and Crop Science 198
  • Soil Science 142
  • Plant Science 396
  • Development 27
  • Organizational Behavior and Human Resource Management 69
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Nicholas Nisbett United Kingdom
Elise F. Talsma Netherlands
Bangladesh. Parisaṃkhyāna Bibhāga
Jessica Bogard Australia
Stef de Haan Peru
Alexander J. Stein United States
Lindiwe Majele Sibanda South Africa
Rajul Pandya‐Lorch United States
Anja Faße Germany
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Citations per field
00.5×7.6×
WFP WFP · 1×
Citations per year

Countries citing papers authored by Subhash Chand

Since Specialization
Citations

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

Fields of papers citing papers by Subhash Chand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009236
2 202174
3 200669
4 202160
5 202249
6 201135
7 202126
8 201426
9 201525
10 201523
11 201320
12 201320
13 202018
14 200717
15 201217
16 202016
17 202214
18 202013
19 202112
20 202311

About Subhash Chand

Subhash Chand is a scholar working on Plant Science, Agronomy and Crop Science, General Agricultural and Biological Sciences, Soil Science and Genetics, having authored 118 papers that have together received 1.1k indexed citations. Recurring topics across this work include Agricultural Economics and Practices (16 papers), Agricultural Science and Fertilization (10 papers), Reproductive Physiology in Livestock (10 papers), Genetics and Plant Breeding (10 papers), Genetic and phenotypic traits in livestock (9 papers), Livestock Management and Performance Improvement (8 papers), Irrigation Practices and Water Management (6 papers) and Wheat and Barley Genetics and Pathology (6 papers). The work is most often cited by research in Agronomy and Crop Science (198 citations), Soil Science (142 citations), Plant Science (396 citations), Development (27 citations) and Organizational Behavior and Human Resource Management (69 citations). Subhash Chand has collaborated with scholars based in India, United States and Bulgaria. Frequent co-authors include Devi Sridhar, David McCoy, Rajesh Kumar Singhal, T. K. Mohanty, A. Kumaresan, S. S. Layek, Vinod Kumar Garg, Priya Kaushik, Udit Nandan Mishra and Saurabh Pandey. Their work appears in journals such as Frontiers in Plant Science, Crop and Pasture Science, Sustainability, Grass and Forage Science and Livestock 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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