Д. Н. Проценко

91 papers receiving 426 citations

Peers

Д. Н. Проценко
Comparison fields: 5 of 91
  • Critical Care and Intensive Care Medicine 83
  • Applied Microbiology and Biotechnology 16
  • Infectious Diseases 118
  • Neurology 54
  • Dermatology 31
Replace Gisela De La Rosa with:
Gisela De La Rosa Colombia
Dmytro Khadzhynov Germany
Dimitrios Velissaris Greece
Linjie Luo United States
Nathalie Gault France
Daanish Hoda United States
Biplab K. Saha United States
Fangying Lu China
Amaylia Oehadian Indonesia
John P. Hunt United States
Д. Н. Проценко relative to Gisela De La Rosa Colombia Gisela De La Rosa's profile →
Citations per field
00.5×5.2×
Gisela De La Rosa · 1×
Citations per year

Countries citing papers authored by Д. Н. Проценко

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201185
2 202135
3 202033
4 202033
5 202027
6 202015
7 202213
8 20229
9 20198
10 20198
11 20217
12
[Evaluation of the effectiveness and safety of synthetic colloid solutions in the treatment of severe abdominal sepsis: a randomized comparative study].
20107
13 20217
14 20216
15 20176
16 20215
17 20245
18 20215
19 20185
20 20205

About Д. Н. Проценко

Д. Н. Проценко is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Critical Care and Intensive Care Medicine, Surgery and Cardiology and Cardiovascular Medicine, having authored 116 papers that have together received 477 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (23 papers), Sepsis Diagnosis and Treatment (16 papers), Cardiac, Anesthesia and Surgical Outcomes (12 papers), COVID-19 Clinical Research Studies (12 papers), Intensive Care Unit Cognitive Disorders (11 papers), Nosocomial Infections in ICU (9 papers), Cardiac Arrest and Resuscitation (8 papers) and Antibiotic Use and Resistance (8 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (83 citations), Applied Microbiology and Biotechnology (16 citations), Infectious Diseases (118 citations), Neurology (54 citations) and Dermatology (31 citations). Д. Н. Проценко has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include G. М. Galstyan, Paul Herscu, Н. Б. Лазарева, Sergey Shlyapnikov, А. И. Грицан, М. Yu. Кirov, Andrey I. Yaroshetskiy, И. Б. Заболотских, К. М. Лебединский and Kozlov Ia. Their work appears in journals such as Critical Care, International Journal of Infectious Diseases, Inflammation Research, Critical Care Medicine and European Journal of Surgical Oncology.

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.

Explore authors with similar magnitude of impact