Dias Argandykov

402 citations
40 papers · 189 · h-index 7

Impact in

Papers in

Dias Argandykov

32 papers receiving 185 citations

Peers

Dias Argandykov
Comparison fields: 5 of 53
  • Critical Care and Intensive Care Medicine 12
  • Emergency Medicine 21
  • Internal Medicine 7
  • Surgery 68
  • Health Informatics 2
Replace Camilla Cremonini with:
Camilla Cremonini Italy
William Sevcik Canada
Sebastian Blecha Germany
Samuele Ceruti Switzerland
Yuliya Domnina United States
Kamala P. Tamirisa United States
Viviane Nguyen Canada
Carlos Augusto Cardim de Oliveira Brazil
Leila Mameli Italy
Mariano Benzadón Argentina
Dias Argandykov relative to Camilla Cremonini Italy Camilla Cremonini's profile →
Citations per field
00.5×1.7×
Camilla Cremonini · 1×
Citations per year

Countries citing papers authored by Dias Argandykov

Since Specialization
Citations

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

Fields of papers citing papers by Dias Argandykov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dias Argandykov, 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 Dias Argandykov Line = papers co-authored together Dias Argandykov 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.

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About Dias Argandykov

Dias Argandykov is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine and Internal Medicine, having authored 40 papers that have together received 189 indexed citations. Recurring topics across this work include Trauma Management and Diagnosis (6 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Surgical site infection prevention (2 papers), Gallbladder and Bile Duct Disorders (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), COVID-19 and healthcare impacts (2 papers), Abdominal vascular conditions and treatments (2 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (12 citations), Emergency Medicine (21 citations), Internal Medicine (7 citations), Surgery (68 citations) and Health Informatics (2 citations). Dias Argandykov has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Jarone Lee, Shuhan He, John O. Hwabejire, Haytham M.A. Kaafarani, George C. Velmahos, Anthony Gebran, Ander Dorken‐Gallastegi, Noelle Saillant, David R. King and Jonathan Parks. Their work appears in journals such as Surgery, The Journal of Trauma: Injury, Infection, and Critical Care, Journal of Surgical Research, The American Journal of Surgery and Surgical Infections.

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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