Priyam Singh
- Molecular Biology
- Cancer Research
- Public Health, Environmental and Occupational Health
- Genetics
- Plant Science
- Co-authors
- Joel H. GraberLucie N. HutchinsSean M. MurphyDonglin LiuKevin D. MillsDavor SolterSonya KamdarAleš Hampl
- Topics
- RNA Research and Splicing (3 papers)Stock Market Forecasting Methods (2 papers)RNA modifications and cancer (2 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Priyam Singh
14 papers receiving 556 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 438
- Cancer Research 100
- Public Health, Environmental and Occupational Health 77
- Genetics 62
- Plant Science 23
Countries citing papers authored by Priyam Singh
This map shows the geographic impact of Priyam 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 Priyam Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyam Singh more than expected).
Fields of papers citing papers by Priyam Singh
This network shows the impact of papers produced by Priyam 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 Priyam Singh. The network helps show where Priyam Singh may publish in the future.
Co-authorship network of co-authors of Priyam Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Priyam Singh. A scholar is included among the top collaborators of Priyam 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 Priyam Singh. Priyam 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 | 7 | |
| 2 | 2 | |
| 3 | Application of Machine Learning Tools in Predictive Modeling of Pairs Trade in Indian Stock Market | 5 |
| 4 | Application of Machine Learning Tools in Predictive Modeling of Pairs Trade in Indian Stock Market [Dagger] | 1 |
| 5 | 3 | |
| 6 | 26 | |
| 7 | Study of insecticidal activity of acetone crude leaf extract of Adhatoda vasica against Callosobruchus maculatus. | 2 |
| 8 | 121 | |
| 9 | The free radical scavenging and the lipid peroxidation inhibition of crocin isolated from Kashmiri saffron (Crocus sativus) occurring in northern part of India. | 7 |
| 10 | 90 | |
| 11 | 109 | |
| 12 | 138 | |
| 13 | 48 | |
| 14 | 8 |
About Priyam Singh
Priyam Singh is a scholar working on Biochemistry, Management Science and Operations Research and Complementary and alternative medicine, having authored 14 papers that have together received 567 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Stock Market Forecasting Methods (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (100 citations), Molecular Biology (438 citations) and Aging (6 citations). Priyam Singh has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Joel H. Graber, Lucie N. Hutchins, Sean M. Murphy, Donglin Liu, Kevin D. Mills, Davor Solter, Sonya Kamdar, Aleš Hampl, Sarah Wright and Barbara B. Knowles. Their work appears in journals such as Nucleic Acids Research, Genes & Development and Bioinformatics.
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.