Poyil Pratheeshkumar

66 papers receiving 2.7k citations

Peers

Poyil Pratheeshkumar
Comparison fields: 5 of 128
  • Biochemistry 295
  • Health, Toxicology and Mutagenesis 434
  • Cancer Research 427
  • Toxicology 94
  • Complementary and alternative medicine 215
Replace Ssu‐Ching Chen with:
Ssu‐Ching Chen Taiwan
Hyung Gyun Kim South Korea
Silvio De Flora Italy
Girish B. Maru India
Yongju Lu United States
Xiu Jun Wang China
Michael J. Iatropoulos United States
Lai K. Leung Hong Kong
Siwang Yu China
Roumen Balansky Italy
Poyil Pratheeshkumar relative to Ssu‐Ching Chen Taiwan Ssu‐Ching Chen's profile →
Citations per field
00.5×2.8×
Ssu‐Ching Chen · 1×
Citations per year

Countries citing papers authored by Poyil Pratheeshkumar

Since Specialization
Citations

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

Fields of papers citing papers by Poyil Pratheeshkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Poyil Pratheeshkumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Poyil Pratheeshkumar Line = papers co-authored together Poyil Pratheeshkumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20241
3 20232
4 20207
5 201919
6 2018127
7 201719
8 201654
9 201625
10 201577
11 201458
12 201489
13 201421
14 20136
15 201335
16 2012103
17 2012209
18 201114
19 20119
20 201017

About Poyil Pratheeshkumar

Poyil Pratheeshkumar is a scholar working on Applied Microbiology and Biotechnology, Toxicology, Health, Toxicology and Mutagenesis, Cancer Research and Biochemistry, having authored 66 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (11 papers), Chromium effects and bioremediation (10 papers), Natural product bioactivities and synthesis (7 papers), Cell death mechanisms and regulation (7 papers), MicroRNA in disease regulation (5 papers), Phytochemicals and Antioxidant Activities (5 papers), Arsenic contamination and mitigation (5 papers) and Genetic factors in colorectal cancer (5 papers). The work is most often cited by research in Biochemistry (295 citations), Health, Toxicology and Mutagenesis (434 citations), Cancer Research (427 citations), Toxicology (94 citations) and Complementary and alternative medicine (215 citations). Poyil Pratheeshkumar has collaborated with scholars based in United States, India and Saudi Arabia. Frequent co-authors include Girija Kuttan, Young‐Ok Son, Xianglin Shi, Zhuo Zhang, Jeong‐Chae Lee, Donghern Kim, Amit Budhraja, Sasidharan Padmaja Divya, John Andrew Hitron and Andrew Hitron. Their work appears in journals such as Toxicology and Applied Pharmacology, Journal of Environmental Pathology Toxicology and Oncology, Oncotarget, Immunopharmacology and Immunotoxicology and European Journal of Pharmacology.

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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