N.A. Gratsiansky

21 total papers · 479 total citations
5 papers, 277 citations indexed

About

N.A. Gratsiansky is a scholar working on Surgery, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, N.A. Gratsiansky has authored 5 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Surgery, 1 paper in Genetics and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in N.A. Gratsiansky's work include Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Analytical Methods in Pharmaceuticals (1 paper) and Lipoproteins and Cardiovascular Health (1 paper). N.A. Gratsiansky is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Analytical Methods in Pharmaceuticals (1 paper) and Lipoproteins and Cardiovascular Health (1 paper). N.A. Gratsiansky collaborates with scholars based in Russia and United States. N.A. Gratsiansky's co-authors include I‐Zu Huang, Lixin Meng, Peter H. Stone, M D Smirnov, A. B. Dobrovolsky, А. Д. Эрлих and А. Д. Деев and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Atherosclerosis.

In The Last Decade

N.A. Gratsiansky

5 papers receiving 266 citations

Author Peers

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

Author Last Decade Papers Cites
N.A. Gratsiansky 239 131 51 34 22 5 277
Marvin Turbow 181 0.8× 28 0.2× 51 1.0× 16 0.5× 5 0.2× 7 205
Margarita Véjar 207 0.9× 122 0.9× 73 1.4× 14 0.4× 14 0.6× 9 266
Doron Gavish 233 1.0× 16 0.1× 50 1.0× 70 2.1× 42 1.9× 7 311
K Gotoh 206 0.9× 127 1.0× 121 2.4× 20 0.6× 15 0.7× 7 311
Stephen Dilly 164 0.7× 15 0.1× 76 1.5× 109 3.2× 13 0.6× 8 269
Heather D. Nisbet 194 0.8× 71 0.5× 55 1.1× 47 1.4× 3 0.1× 8 306
Hans P. Gurtner 172 0.7× 34 0.3× 25 0.5× 13 0.4× 5 0.2× 5 278
Kenji Obata 257 1.1× 56 0.4× 49 1.0× 41 1.2× 7 0.3× 10 327
Claude Nadeau 211 0.9× 48 0.4× 35 0.7× 20 0.6× 9 0.4× 6 236
Munetaka Sugiishi 235 1.0× 171 1.3× 70 1.4× 33 1.0× 12 0.5× 4 324

Countries citing papers authored by N.A. Gratsiansky

Since Specialization
Citations

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

Fields of papers citing papers by N.A. Gratsiansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.A. Gratsiansky. 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 N.A. Gratsiansky. The network helps show where N.A. Gratsiansky may publish in the future.

Co-authorship network of co-authors of N.A. Gratsiansky

This figure shows the co-authorship network connecting the top 25 collaborators of N.A. Gratsiansky. A scholar is included among the top collaborators of N.A. Gratsiansky 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 N.A. Gratsiansky. N.A. Gratsiansky 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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