Nikolay S. Markov

75 total papers · 5.2k total citations
14 papers, 819 citations indexed

About

Nikolay S. Markov is a scholar working on Critical Care and Intensive Care Medicine, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Nikolay S. Markov has authored 14 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Critical Care and Intensive Care Medicine, 3 papers in Epidemiology and 3 papers in Artificial Intelligence. Recurrent topics in Nikolay S. Markov's work include Long-Term Effects of COVID-19 (2 papers), Intensive Care Unit Cognitive Disorders (2 papers) and Immune Cell Function and Interaction (2 papers). Nikolay S. Markov is often cited by papers focused on Long-Term Effects of COVID-19 (2 papers), Intensive Care Unit Cognitive Disorders (2 papers) and Immune Cell Function and Interaction (2 papers). Nikolay S. Markov collaborates with scholars based in United States, Poland and Vietnam. Nikolay S. Markov's co-authors include Yuan Luo, Catherine A. Gao, Frederick M. Howard, Siddhi Ramesh, Alexander T. Pearson, Emma Dyer, Hiam Abdala‐Valencia, Yuliya Politanska, Alexander V. Misharin and G. R. Scott Budinger and has published in prestigious journals such as Journal of Clinical Investigation, Bioinformatics and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Nikolay S. Markov

11 papers receiving 798 citations

Hit Papers

Comparing scientific abst... 2023 2026 2024 2023 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Nikolay S. Markov 277 150 149 118 111 14 819
Catherine A. Gao 358 1.3× 191 1.3× 95 0.6× 46 0.4× 195 1.8× 30 805
Peng–Sheng Ting 338 1.2× 145 1.0× 205 1.4× 50 0.4× 163 1.5× 27 916
Eldad Elnekave 31 0.1× 80 0.5× 188 1.3× 115 1.0× 155 1.4× 21 859
Albert T. Young 148 0.5× 153 1.0× 136 0.9× 48 0.4× 97 0.9× 27 855
Margaret Pain 131 0.5× 146 1.0× 111 0.7× 71 0.6× 203 1.8× 31 794
Boris Oskotsky 40 0.1× 116 0.8× 309 2.1× 76 0.6× 59 0.5× 12 740
Christopher A. Lovejoy 325 1.2× 238 1.6× 34 0.2× 65 0.6× 301 2.7× 14 830
Stylianos Serghiou 58 0.2× 100 0.7× 175 1.2× 43 0.4× 48 0.4× 23 1.0k
Ivana Malenica 131 0.5× 101 0.7× 400 2.7× 21 0.2× 69 0.6× 22 904
Julia K. Winkler 59 0.2× 295 2.0× 101 0.7× 66 0.6× 218 2.0× 53 1.0k

Countries citing papers authored by Nikolay S. Markov

Since Specialization
Citations

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

Fields of papers citing papers by Nikolay S. Markov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikolay S. Markov. 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 Nikolay S. Markov. The network helps show where Nikolay S. Markov may publish in the future.

Co-authorship network of co-authors of Nikolay S. Markov

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolay S. Markov. A scholar is included among the top collaborators of Nikolay S. Markov 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 Nikolay S. Markov. Nikolay S. Markov 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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