Enoka Corea

40 papers receiving 331 citations

Peers

Enoka Corea
Comparison fields: 5 of 55
  • Molecular Medicine 72
  • Applied Microbiology and Biotechnology 19
  • Clinical Biochemistry 45
  • Epidemiology 198
  • Small Animals 29
Replace Prajuab Chaimanee with:
Prajuab Chaimanee Thailand
T.-D. Huang Belgium
Maria Goreth Barberino Brazil
Ron Bosboom Netherlands
Silvia Relloso Argentina
Morihiro Iwata Japan
Possawat Jorakate Thailand
Manas Kanoksil Thailand
Hideji Yanagisawa Japan
Alexandra Vasilakopoulou Greece
Enoka Corea relative to Prajuab Chaimanee Thailand Prajuab Chaimanee's profile →
Citations per field
00.5×1.5×2.3×
Prajuab Chaimanee · 1×
Citations per year

Countries citing papers authored by Enoka Corea

Since Specialization
Citations

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

Fields of papers citing papers by Enoka Corea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201737
2 201435
3 200328
4 201524
5 201821
6 202219
7 201718
8 201214
9 201214
10 202112
11 201710
12 20139
13 20188
14 20178
15 20218
16 20127
17 20146
18 20166
19 20176
20 20235

About Enoka Corea

Enoka Corea is a scholar working on Epidemiology, Infectious Diseases, Endocrinology, Molecular Medicine and Biomedical Engineering, having authored 40 papers that have together received 338 indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (27 papers), Antibiotic Resistance in Bacteria (5 papers), Brucella: diagnosis, epidemiology, treatment (4 papers), Infections and bacterial resistance (4 papers), Chemical Looping and Thermochemical Processes (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Subcritical and Supercritical Water Processes (3 papers) and Amoebic Infections and Treatments (2 papers). The work is most often cited by research in Molecular Medicine (72 citations), Applied Microbiology and Biotechnology (19 citations), Clinical Biochemistry (45 citations), Epidemiology (198 citations) and Small Animals (29 citations). Enoka Corea has collaborated with scholars based in Sri Lanka, Australia and United States. Frequent co-authors include Aruna Dharshan De Silva, Timothy J. J. Inglis, Vasanthi Thevanesam, Jennifer Perera, Mohan Natesan, Adam J. Merritt, Timothy J. J. Inglis, Himali S. Jayasinghearachchi, Katie L. Hopkins and Umaer Naseer. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, PLoS neglected tropical diseases, BMC Infectious Diseases, Journal of Medical Microbiology and Journal of Clinical Microbiology.

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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