Punesh Sangwan

739 total citations
18 papers, 304 citations indexed

About

Punesh Sangwan is a scholar working on Plant Science, Molecular Biology and Rheumatology. According to data from OpenAlex, Punesh Sangwan has authored 18 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 7 papers in Molecular Biology and 3 papers in Rheumatology. Recurrent topics in Punesh Sangwan's work include Phytase and its Applications (8 papers), Plant Micronutrient Interactions and Effects (6 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Punesh Sangwan is often cited by papers focused on Phytase and its Applications (8 papers), Plant Micronutrient Interactions and Effects (6 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Punesh Sangwan collaborates with scholars based in India and Chile. Punesh Sangwan's co-authors include Vinod Kumar, Sanjeev Agrawal, Ashok Kumar Verma, Ajar Nath Yadav, Piyush Kumar, Prashant Singh, Milko A. Jorquera, Bijender Singh, Priyanka Verma and Krishan Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and Applied Biochemistry and Biotechnology.

In The Last Decade

Punesh Sangwan

16 papers receiving 298 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Punesh Sangwan India 8 238 105 35 33 27 18 304
Sipla Aggarwal India 6 242 1.0× 65 0.6× 16 0.5× 41 1.2× 36 1.3× 6 276
Oscar Navarrete Belgium 6 229 1.0× 107 1.0× 7 0.2× 9 0.3× 36 1.3× 10 364
Hong-Qing Ling China 11 1.1k 4.8× 221 2.1× 23 0.7× 21 0.6× 43 1.6× 12 1.2k
May Sann Aung Japan 16 993 4.2× 108 1.0× 76 2.2× 50 1.5× 78 2.9× 22 1.1k
Young Hyoun Yi South Korea 4 565 2.4× 77 0.7× 23 0.7× 24 0.7× 34 1.3× 8 640
Muhammad Sarwar Pakistan 6 213 0.9× 44 0.4× 4 0.1× 61 1.8× 13 0.5× 30 322
Irene Ockenden Canada 7 587 2.5× 99 0.9× 128 3.7× 7 0.2× 128 4.7× 20 665
James M. Connorton United Kingdom 11 940 3.9× 135 1.3× 62 1.8× 59 1.8× 108 4.0× 11 1.1k
Garo Z. Akmakjian United States 8 442 1.9× 104 1.0× 11 0.3× 41 1.2× 34 1.3× 9 493
Jeffery L. Gustin United States 12 559 2.3× 55 0.5× 12 0.3× 117 3.5× 121 4.5× 15 650

Countries citing papers authored by Punesh Sangwan

Since Specialization
Citations

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

Fields of papers citing papers by Punesh Sangwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Punesh Sangwan

This figure shows the co-authorship network connecting the top 25 collaborators of Punesh Sangwan. A scholar is included among the top collaborators of Punesh Sangwan 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 Punesh Sangwan. Punesh Sangwan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Pannu, Ashok Kumar, Punesh Sangwan, Chandrashekhar S. Patil, et al.. (2025). Systematic follow-up investigation of NSP seroreactors and in-contact cattle and buffaloes for foot-and-mouth disease virus using probang sampling. BMC Veterinary Research. 21(1). 247–247.
2.
Malik, Kamla, et al.. (2023). Deciphering the biochemical and functional characterization of rice straw cultivars for industrial applications. Heliyon. 9(6). e16339–e16339. 11 indexed citations
3.
Kumar, Vijay, et al.. (2023). Characterization of Foot-and-Mouth Disease Virus Serotype O-Specific Single Domain Antibody Expressed in the pET Expression System. Indian Journal of Microbiology. 63(3). 337–343. 1 indexed citations
4.
Malik, Kamla, et al.. (2023). EVALUATION OF NON-STRUCTURAL CARBOHYDRATES OF RICE STRAW CULTIVARS IN AGRO-CLIMATIC ZONES OF HARYANA. Environmental Engineering and Management Journal. 22(8). 1453–1459. 1 indexed citations
5.
Malik, Kamla, Ajay Sharma, Vijaya Rani, et al.. (2022). Deciphering the Biochemical and Functional Characterization of Rice Straw Cultivars for Industrial Applications. SSRN Electronic Journal.
6.
Bora, Roop Singh, et al.. (2021). Effect of gibberellins and ascorbic acid treatment on phytic acid and micronutrients dialyzability in germinated biofortified wheat seeds. Indian Journal of Community Health. 33(1). 123–129. 1 indexed citations
7.
Sheikh, Imran, et al.. (2021). Beneficial effects of soaking and germination on nutritional quality and bioactive compounds of biofortified wheat derivatives. Journal of Applied Biology & Biotechnology. 4 indexed citations
8.
Sangwan, Punesh, et al.. (2020). Phytase Mediated Beneficial Impact on Nutritional Quality of Biofortified Wheat Genotypes. Current Nutrition & Food Science. 17(5). 490–500. 1 indexed citations
9.
Singh, Bijender, et al.. (2019). Characteristics of an Acidic Phytase from Aspergillus aculeatus APF1 for Dephytinization of Biofortified Wheat Genotypes. Applied Biochemistry and Biotechnology. 191(2). 679–694. 16 indexed citations
10.
Kumar, Vinod, Ajar Nath Yadav, Priyanka Verma, et al.. (2017). β-Propeller phytases: Diversity, catalytic attributes, current developments and potential biotechnological applications. International Journal of Biological Macromolecules. 98. 595–609. 58 indexed citations
11.
Kaur, Ramandeep, et al.. (2017). Production and characterization of a neutral phytase of Penicillium oxalicum EUFR-3 isolated from Himalayan region. SHILAP Revista de lepidopterología. 9(1). 68–76. 23 indexed citations
12.
Sangwan, Punesh, et al.. (2015). Interactive effects of salicylic acid on enzymes of nitrogen metabolism in clusterbean (Cyamopsis tetragonoloba L.) under chromium(VI) toxicity. Biocatalysis and Agricultural Biotechnology. 4(3). 309–314. 7 indexed citations
13.
Kumar, Vinod, Punesh Sangwan, Ashok Kumar Verma, & Sanjeev Agrawal. (2014). Molecular and Biochemical Characteristics of Recombinant β-Propeller Phytase from Bacillus licheniformis Strain PB-13 with Potential Application in Aquafeed. Applied Biochemistry and Biotechnology. 173(2). 646–659. 18 indexed citations
14.
Kumar, Vinod, Gopal Singh, Punesh Sangwan, Amit Verma, & Sanjeev Agrawal. (2014). Cloning, Sequencing, andIn SilicoAnalysis ofβ-Propeller PhytaseBacillus licheniformisStrain PB-13. PubMed. 2014. 1–11. 14 indexed citations
15.
Sangwan, Punesh, et al.. (2014). Effect of Chromium(VI) Toxicity on Enzymes of Nitrogen Metabolism in Clusterbean (Cyamopsis tetragonolobaL.). Enzyme Research. 2014. 1–9. 53 indexed citations
16.
Sangwan, Punesh, et al.. (2014). Chromium (VI) Affected Nutritive Value of Forage Clusterbean (Cyamopsis TetragonolobaL.). International Journal of Agriculture Environment and Biotechnology. 7(1). 17–17. 3 indexed citations
17.
Kumar, Vinod, Prashant Singh, Milko A. Jorquera, et al.. (2013). Isolation of phytase-producing bacteria from Himalayan soils and their effect on growth and phosphorus uptake of Indian mustard (Brassica juncea). World Journal of Microbiology and Biotechnology. 29(8). 1361–1369. 87 indexed citations
18.

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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