Sarkis Manoukian

45 total papers · 670 total citations
20 papers, 404 citations indexed

About

Sarkis Manoukian is a scholar working on Critical Care and Intensive Care Medicine, General Health Professions and Applied Microbiology and Biotechnology. According to data from OpenAlex, Sarkis Manoukian has authored 20 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Critical Care and Intensive Care Medicine, 6 papers in General Health Professions and 5 papers in Applied Microbiology and Biotechnology. Recurrent topics in Sarkis Manoukian's work include Nosocomial Infections in ICU (7 papers), Antibiotic Use and Resistance (5 papers) and Emergency and Acute Care Studies (4 papers). Sarkis Manoukian is often cited by papers focused on Nosocomial Infections in ICU (7 papers), Antibiotic Use and Resistance (5 papers) and Emergency and Acute Care Studies (4 papers). Sarkis Manoukian collaborates with scholars based in United Kingdom, Singapore and Australia. Sarkis Manoukian's co-authors include Helen Mason, J. Reilly, Sally Stewart, Stephanie J. Dancer, Nicholas Graves, Brian Cook, L. Haahr, Chris Robertson, Kimberley Kavanagh and Sharon Kennedy and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Lancet Infectious Diseases and British journal of surgery.

In The Last Decade

Sarkis Manoukian

17 papers receiving 397 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sarkis Manoukian 108 103 98 83 62 20 404
Deborough Macbeth 52 0.5× 111 1.1× 145 1.5× 43 0.5× 90 1.5× 30 374
Adrienne Fisher 75 0.7× 53 0.5× 190 1.9× 58 0.7× 136 2.2× 12 372
Kaila Cooper 61 0.6× 96 0.9× 245 2.5× 88 1.1× 64 1.0× 46 491
James Marx 79 0.7× 132 1.3× 215 2.2× 90 1.1× 191 3.1× 12 462
Rebecca Konnor 83 0.8× 74 0.7× 131 1.3× 124 1.5× 85 1.4× 8 383
Lisa Sturm 81 0.8× 57 0.6× 85 0.9× 92 1.1× 111 1.8× 23 404
Andrea Patton 44 0.4× 97 0.9× 61 0.6× 168 2.0× 77 1.2× 19 394
G. McIlvenny 105 1.0× 46 0.4× 96 1.0× 65 0.8× 107 1.7× 10 370
Lina Najib Kawar 62 0.6× 169 1.6× 75 0.8× 30 0.4× 94 1.5× 27 488
D.H. Forster 136 1.3× 36 0.3× 95 1.0× 58 0.7× 109 1.8× 16 412

Countries citing papers authored by Sarkis Manoukian

Since Specialization
Citations

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

Fields of papers citing papers by Sarkis Manoukian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarkis Manoukian

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

All Works

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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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