Pathalam Ganesan

22 papers receiving 314 citations

Peers

Pathalam Ganesan
Comparison fields: 5 of 70
  • Insect Science 101
  • Drug Discovery 1
  • Plant Science 180
  • Pharmacology 41
  • Biotechnology 20
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Shaimaa M. Farag Egypt
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Citations per year

Countries citing papers authored by Pathalam Ganesan

Since Specialization
Citations

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

Fields of papers citing papers by Pathalam Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pathalam Ganesan, 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 Pathalam Ganesan Line = papers co-authored together Pathalam Ganesan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201788
2 201658
3 202228
4 201827
5 201619
6 201815
7 202015
8 202410
9 20189
10 20199
11 20248
12
Larvicidal, ovicidal and repellent activities of Streptomyces enissocaesilis (S12-17) isolated from Western Ghats of Tamil Nadu, India
20186
13 20186
14
EVALUATION OF SERUM URIC ACID AND LIPID PROFILE IN GESTATIONAL HYPERTENSION.
20135
15 20244
16 20194
17
Antixenosis resistance in okra and their hybrid derivatives against shoot and fruit borer Earias vittella (Fab.)
20172
18 20242
19 20182
20 20251

About Pathalam Ganesan

Pathalam Ganesan is a scholar working on Plant Science, Insect Science, Molecular Biology, Public Health, Environmental and Occupational Health and Pharmacology, having authored 26 papers that have together received 320 indexed citations. Recurring topics across this work include Insect Pest Control Strategies (19 papers), Insect Utilization and Effects (7 papers), Mosquito-borne diseases and control (5 papers), Entomopathogenic Microorganisms in Pest Control (4 papers), Insect Resistance and Genetics (4 papers), Insect and Pesticide Research (4 papers), Agricultural pest management studies (3 papers) and Fungal Biology and Applications (3 papers). The work is most often cited by research in Insect Science (101 citations), Drug Discovery (1 citation), Plant Science (180 citations), Pharmacology (41 citations) and Biotechnology (20 citations). Pathalam Ganesan has collaborated with scholars based in Saudi Arabia, India and United States. Frequent co-authors include S. Ignacimuthu, Naïf Abdullah Al-Dhabi, Michael Gabriel Paulraj, Munusamy Rajiv Gandhi, Appadurai Daniel Reegan, K. Balakrishna, A. Shajahan, Soosaimanickam Maria Packiam, Antony Stalin and P. Pandikumar. Their work appears in journals such as Biocatalysis and Agricultural Biotechnology, Saudi Journal of Biological Sciences, Experimental Parasitology, Veterinary Parasitology Regional Studies and Reports and International Journal of Biological Macromolecules.

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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