Peyush Punia
- Aquatic Science top 1%
- Genetics top 10%
- Molecular Biology
- Nature and Landscape Conservation top 10%
- Immunology
- Co-authors
- Vindhya MohindraKuldeep K. LalW. S. LakraRajeev K. SinghNeeraj SoodU.K. ChauhanPravata Kumar PradhanAsif Ali Khan
- Topics
- Fish Biology and Ecology Studies (17 papers)Genetic diversity and population structure (15 papers)Identification and Quantification in Food (13 papers)
- Partner nations
- India
In The Last Decade
Peyush Punia
29 papers receiving 453 citations
Peers
Comparison fields: 5 of 45
- Aquatic Science 327
- Genetics 265
- Molecular Biology 256
- Nature and Landscape Conservation 150
- Immunology 94
Countries citing papers authored by Peyush Punia
This map shows the geographic impact of Peyush Punia'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 Peyush Punia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peyush Punia more than expected).
Fields of papers citing papers by Peyush Punia
This network shows the impact of papers produced by Peyush Punia. 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 Peyush Punia. The network helps show where Peyush Punia may publish in the future.
Co-authorship network of co-authors of Peyush Punia
This figure shows the co-authorship network connecting the top 25 collaborators of Peyush Punia. A scholar is included among the top collaborators of Peyush Punia 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 Peyush Punia. Peyush Punia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Revision of gonius subgroup of the Genus Labeo Cuvier, 1816 and confirmation of species status of Labeo rajasthanicus (Cypriniformes: Cyprinidae) with designation of a neotype | 8 |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 28 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 13 | |
| 9 | 12 | |
| 10 | 24 | |
| 11 | 8 | |
| 12 | 41 | |
| 13 | 37 | |
| 14 | 42 | |
| 15 | 26 | |
| 16 | 6 | |
| 17 | 12 | |
| 18 | 3 | |
| 19 | Molecular discrimination of five Mahseer species from Indian peninsula using RAPD analysis | 17 |
| 20 | Extender composition for cryopreservation of Tenualosa ilisha spermatozoa with specific reference to inhibition of motility | 4 |
About Peyush Punia
Peyush Punia is a scholar working on Aquatic Science, Nature and Landscape Conservation and Genetics, having authored 29 papers that have together received 473 indexed citations. Recurring topics across this work include Fish Biology and Ecology Studies (17 papers), Genetic diversity and population structure (15 papers) and Identification and Quantification in Food (13 papers). The work is most often cited by research in Aquatic Science (327 citations), Nature and Landscape Conservation (150 citations) and Genetics (265 citations). Peyush Punia has collaborated with scholars based in India. Frequent co-authors include Vindhya Mohindra, Kuldeep K. Lal, W. S. Lakra, Rajeev K. Singh, Neeraj Sood, U.K. Chauhan, Pravata Kumar Pradhan, Asif Ali Khan, Maria Habib and Arti Gupta. Their work appears in journals such as Aquaculture, Fish & Shellfish Immunology and Molecular Ecology Resources.
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.