Binila Chacko

41 papers receiving 476 citations

Peers

Binila Chacko
Comparison fields: 5 of 76
  • Applied Microbiology and Biotechnology 39
  • Critical Care and Intensive Care Medicine 74
  • Molecular Medicine 39
  • Emergency Medicine 37
  • Infectious Diseases 60
Replace Jason Ferreira with:
Jason Ferreira United States
Seth R. Bauer United States
GC Khilnani India
Shih‐Chi Ku Taiwan
Raymond Khan Saudi Arabia
Carolina A. M. Schurink Netherlands
Omender Singh India
Kostoula Arvaniti Greece
Régis Bronchard France
Christopher A. Guidry United States
Binila Chacko relative to Jason Ferreira United States Jason Ferreira's profile →
Citations per field
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Citations per year

Countries citing papers authored by Binila Chacko

Since Specialization
Citations

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

Fields of papers citing papers by Binila Chacko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 201741
3 201137
4 201136
5 201932
6 201924
7 200823
8 200723
9 202222
10 202017
11 201316
12 201915
13 201411
14 20249
15 20129
16 20119
17 20028
18 20198
19
Acenocoumarol and phenytoin toxicity in the presence of CYP2C9 mutation.
20087
20 19997

About Binila Chacko

Binila Chacko is a scholar working on Critical Care and Intensive Care Medicine, Infectious Diseases, Pediatrics, Perinatology and Child Health, Epidemiology and Emergency Medicine, having authored 43 papers that have together received 493 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (3 papers), Nosocomial Infections in ICU (3 papers), Respiratory Support and Mechanisms (2 papers), Cardiac Arrest and Resuscitation (2 papers), Antibiotic Resistance in Bacteria (2 papers), Pesticide Exposure and Toxicity (2 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Venomous Animal Envenomation and Studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (39 citations), Critical Care and Intensive Care Medicine (74 citations), Molecular Medicine (39 citations), Emergency Medicine (37 citations) and Infectious Diseases (60 citations). Binila Chacko has collaborated with scholars based in India, Australia and United Kingdom. Frequent co-authors include John Victor Peter, Lakshmanan Jeyaseelan, George John, Prathap Tharyan, Kishore Pichamuthu, Hema Paul, Kartik Ramakrishna, Shalom Patole, Jude Joseph Fleming and Rajiv Karthik. Their work appears in journals such as Anaesthesia and Intensive Care, Journal of Critical Care, Clinical Toxicology, Scientific Reports and International Journal of Infectious Diseases.

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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