Pooja Gulati

1.1k total citations
45 papers, 730 citations indexed

About

Pooja Gulati is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Pooja Gulati has authored 45 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Pooja Gulati's work include Plasma Applications and Diagnostics (10 papers), Plasma Diagnostics and Applications (10 papers) and Cancer Research and Treatments (8 papers). Pooja Gulati is often cited by papers focused on Plasma Applications and Diagnostics (10 papers), Plasma Diagnostics and Applications (10 papers) and Cancer Research and Treatments (8 papers). Pooja Gulati collaborates with scholars based in India, Canada and Nepal. Pooja Gulati's co-authors include Sanjay Kumar, Rajeev Kumar Kapoor, Jugsharan Singh Virdi, Aparajita Mohanty, Mahesh Shanker Dhar, Neeru Bhagat, Udit Narayan Pal, Mahesh Kumar, Ram Prakash and Jagdeep Singh and has published in prestigious journals such as Applied Physics Letters, Bioresource Technology and Applied Microbiology and Biotechnology.

In The Last Decade

Pooja Gulati

41 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pooja Gulati India 15 289 141 121 111 86 45 730
Hadi Farsiani Iran 15 488 1.7× 51 0.4× 163 1.3× 102 0.9× 31 0.4× 52 1.0k
Yossi Paitan Israel 18 469 1.6× 67 0.5× 193 1.6× 71 0.6× 16 0.2× 49 1.2k
Yanhe Zhang China 21 323 1.1× 44 0.3× 73 0.6× 56 0.5× 64 0.7× 57 976
Mohsen Amin Iran 18 321 1.1× 21 0.1× 83 0.7× 38 0.3× 39 0.5× 68 857
Viorel Herman Romania 19 349 1.2× 54 0.4× 87 0.7× 76 0.7× 11 0.1× 96 1.2k
Sandeep Kaur India 17 401 1.4× 54 0.4× 196 1.6× 87 0.8× 11 0.1× 38 1.3k
Masoumeh Douraghi Iran 21 382 1.3× 51 0.4× 282 2.3× 70 0.6× 12 0.1× 109 1.2k
Núria Prim Spain 18 337 1.2× 32 0.2× 248 2.0× 75 0.7× 37 0.4× 50 828

Countries citing papers authored by Pooja Gulati

Since Specialization
Citations

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

Fields of papers citing papers by Pooja Gulati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pooja Gulati

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

All Works

20 of 20 papers shown
1.
Gulati, Pooja, et al.. (2024). Recent trends in targeted delivery of smart nanocarrier-based microbial enzymes for therapeutic applications. Drug Discovery Today. 29(4). 103915–103915. 4 indexed citations
2.
Chhabra, Deepak, et al.. (2023). Cross-linked arginine deiminase aggregates for enhanced production of nutraceutical citrulline. Process Biochemistry. 136. 147–155. 6 indexed citations
3.
Mohanty, Aparajita, et al.. (2022). In silico and in vitro analysis of arginine deiminase from Pseudomonas furukawaii as a potential anticancer enzyme. 3 Biotech. 12(9). 220–220. 2 indexed citations
4.
Dahiya, Bhawna, et al.. (2022). Diagnosis of peritoneal tuberculosis by real-time immuno-PCR assay based on detection of a cocktail ofMycobacterium tuberculosisCFP-10 and HspX proteins. Expert Review of Gastroenterology & Hepatology. 16(6). 577–586. 13 indexed citations
5.
Martı́n, Juan Pedro, et al.. (2020). Genotypic diversity in multi-drug-resistant E. coli isolated from animal feces and Yamuna River water, India, using rep-PCR fingerprinting. Environmental Monitoring and Assessment. 192(11). 681–681. 13 indexed citations
6.
Kumar, Sanjay, et al.. (2020). Microbial enzymes for deprivation of amino acid metabolism in malignant cells: biological strategy for cancer treatment. Applied Microbiology and Biotechnology. 104(7). 2857–2869. 57 indexed citations
7.
Mohanty, Aparajita, et al.. (2020). Microbial Enzymes used in Prodrug Activation for Cancer Therapy: Insights and Future Perspectives. Current Protein and Peptide Science. 22(7). 514–525. 7 indexed citations
8.
Mohanty, Aparajita, et al.. (2020). Biomedical applications of microbial phenylalanine ammonia lyase: Current status and future prospects. Biochimie. 177. 142–152. 31 indexed citations
9.
Grover, Tripti, et al.. (2020). An insight into biological activities of native cyclotides for potential applications in agriculture and pharmaceutics. Peptides. 135. 170430–170430. 31 indexed citations
10.
11.
Kumar, Sanjay, et al.. (2019). Integrons and antibiotic resistance genes in water-borne pathogens: threat detection and risk assessment. Journal of Medical Microbiology. 68(5). 679–692. 28 indexed citations
12.
Kumar, Ashwani, et al.. (2019). Multilevel algorithms and evolutionary hybrid tools for enhanced production of arginine deiminase from Pseudomonas furukawaii RS3. Bioresource Technology. 290. 121789–121789. 20 indexed citations
13.
Kumar, Sanjay, et al.. (2018). High Prevalence of Antibiotic Resistance and Integrons in Escherichia coli Isolated from Urban River Water, India. Microbial Drug Resistance. 25(3). 359–370. 28 indexed citations
14.
Gulati, Pooja, et al.. (2017). Efficient genetic approaches for improvement of plasmid based expression of recombinant protein in Escherichia coli : A review. Process Biochemistry. 55. 17–31. 48 indexed citations
15.
Adlakha, Nidhi, et al.. (2017). Functional analysis of BAS2108-2109 two component system: Evidence for protease regulation in Bacillus anthracis. The International Journal of Biochemistry & Cell Biology. 89. 71–84. 6 indexed citations
16.
Gulati, Pooja, et al.. (2014). Plasma Parameter Estimation in Capillary Single Barrier DBD Source Using Space Resolved Plasma Spectroscopy and PIC Simulation. IEEE Transactions on Plasma Science. 42(9). 2266–2272. 2 indexed citations
17.
Pal, Udit Narayan, Pooja Gulati, Niraj Kumar, et al.. (2012). Analysis of discharge parameters and optimization study of coaxial DBDs for efficient excimer light sources. Journal of theoretical and applied physics. 6(1). 41–41. 10 indexed citations
18.
Pal, Udit Narayan, Pooja Gulati, Niraj Kumar, et al.. (2011). Analysis of Discharge Parameters in Xenon-Filled Coaxial DBD Tube. IEEE Transactions on Plasma Science. 39(6). 1475–1481. 18 indexed citations
19.
Gulati, Pooja, et al.. (2010). Screening for natural occurence of tomato leaf curl virus (TLCV) in devipatan mandal of Tarai region of Uttar Pradesh.. INTERNATIONAL JOURNAL OF PLANT PROTECTION. 3(1). 147–150.
20.
Gulati, Pooja, Rajeev K. Varshney, & Jugsharan Singh Virdi. (2009). Multilocus variable number tandem repeat analysis as a tool to discern genetic relationships among strains ofYersinia enterocoliticabiovar 1A. Journal of Applied Microbiology. 107(3). 875–884. 23 indexed citations

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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