Rakesh Kumar Singh
- Co-authors
- Samer SinghRajinder KaurMerlin AriefdjohanNamita SinghArun K. BhuniaV.M. BalasubramaniamTej Pratap SinghP.E. Nelson
- Topics
- Genetic and phenotypic traits in livestock (3 papers)Advanced Polymer Synthesis and Characterization (3 papers)COVID-19 Clinical Research Studies (2 papers)
In The Last Decade
Rakesh Kumar Singh
28 papers receiving 260 citations
Peers
Comparison fields: 5 of 83
- Plant Science 81
- Molecular Biology 44
- Biotechnology 35
- Food Science 27
- Pathology and Forensic Medicine 24
Countries citing papers authored by Rakesh Kumar Singh
This map shows the geographic impact of Rakesh Kumar Singh'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 Rakesh Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh Kumar Singh more than expected).
Fields of papers citing papers by Rakesh Kumar Singh
This network shows the impact of papers produced by Rakesh Kumar Singh. 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 Rakesh Kumar Singh. The network helps show where Rakesh Kumar Singh may publish in the future.
Co-authorship network of co-authors of Rakesh Kumar Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Kumar Singh. A scholar is included among the top collaborators of Rakesh Kumar Singh 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 Rakesh Kumar Singh. Rakesh Kumar Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 29 | |
| 8 | 13 | |
| 9 | Notification of crop varieties and registration of Germplasm: Variety CSR60. | 6 |
| 10 | 20 | |
| 11 | 20 | |
| 12 | 10 | |
| 13 | 21 | |
| 14 | Mapping and tagging of qualitative traits in crop plants. | 1 |
| 15 | QTL mapping in crop plants: principle and methodology. | 1 |
| 16 | Diversity analysis of Sesbania acculeata by using transferable rice SSR markers. | 1 |
| 17 | 42 | |
| 18 | Genetic relatedness among descript and non-descript goats using randomly amplified polymorphic DNA (RAPD) | 4 |
| 19 | 1 | |
| 20 | Randomly amplified polymorphic DNA markers in genetic analysis of relatedness in Japanese quail lines. | 2 |
About Rakesh Kumar Singh
Rakesh Kumar Singh is a scholar working on Biochemistry, Biomaterials and Pharmacology, having authored 30 papers that have together received 278 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (3 papers), Advanced Polymer Synthesis and Characterization (3 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Biotechnology (35 citations), Horticulture (3 citations) and Pharmacology (22 citations). Rakesh Kumar Singh has collaborated with scholars based in India, Czechia and Canada. Frequent co-authors include Samer Singh, Rajinder Kaur, Merlin Ariefdjohan, Namita Singh, Arun K. Bhunia, V.M. Balasubramaniam, Tej Pratap Singh, P.E. Nelson, Ajit Sodhi and Sukh Mahendra Singh. Their work appears in journals such as Chemical Communications, Scientific Reports and Journal of Food 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.