Д. Н. Проценко
- Infectious Diseases top 10%
- Epidemiology
- Pulmonary and Respiratory Medicine
- Critical Care and Intensive Care Medicine top 5%
- Immunology
- Co-authors
- Sergey ShlyapnikovPaul HerscuН. Б. ЛазареваG. М. GalstyanAndrey I. YaroshetskiyА. И. ГрицанVladimir BoginМ. Yu. Кirov
- Topics
- Respiratory Support and Mechanisms (25 papers)COVID-19 Clinical Research Studies (14 papers)Sepsis Diagnosis and Treatment (13 papers)
- Cited by
- Critical Care and Intensive Care MedicineApplied Microbiology and BiotechnologyInfectious Diseases
- Journals
- SHILAP Revista de lepidopterologíaCritical Care MedicineCritical Care
- Partner nations
- RussiaUnited StatesUnited Kingdom
In The Last Decade
Д. Н. Проценко
83 papers receiving 397 citations
Peers
Comparison fields: 5 of 93
- Infectious Diseases 121
- Epidemiology 110
- Pulmonary and Respiratory Medicine 106
- Critical Care and Intensive Care Medicine 81
- Immunology 58
Countries citing papers authored by Д. Н. Проценко
This map shows the geographic impact of Д. Н. Проценко'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 Д. Н. Проценко with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Д. Н. Проценко more than expected).
Fields of papers citing papers by Д. Н. Проценко
This network shows the impact of papers produced by Д. Н. Проценко. 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 Д. Н. Проценко. The network helps show where Д. Н. Проценко may publish in the future.
Co-authorship network of co-authors of Д. Н. Проценко
This figure shows the co-authorship network connecting the top 25 collaborators of Д. Н. Проценко. A scholar is included among the top collaborators of Д. Н. Проценко 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 Д. Н. Проценко. Д. Н. Проценко is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 5 | |
| 17 | 35 | |
| 18 | 5 | |
| 19 | 15 | |
| 20 | [Application of artificial lung respiration in intensive care units in Russia: national epidemiological research "RuVent"]. | 1 |
About Д. Н. Проценко
Д. Н. Проценко is a scholar working on Critical Care and Intensive Care Medicine, Applied Microbiology and Biotechnology and Molecular Medicine, having authored 111 papers that have together received 448 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (25 papers), COVID-19 Clinical Research Studies (14 papers) and Sepsis Diagnosis and Treatment (13 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (81 citations), Applied Microbiology and Biotechnology (15 citations) and Infectious Diseases (121 citations). Д. Н. Проценко has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include Sergey Shlyapnikov, Paul Herscu, Н. Б. Лазарева, G. М. Galstyan, Andrey I. Yaroshetskiy, А. И. Грицан, Vladimir Bogin, М. Yu. Кirov, О. В. Жукова and И. Б. Заболотских. Their work appears in journals such as SHILAP Revista de lepidopterología, Critical Care Medicine and Critical Care.
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.