Nataliya A. Markina

36 total papers · 856 total citations
10 papers, 743 citations indexed

About

Nataliya A. Markina is a scholar working on Organic Chemistry, Molecular Biology and Cancer Research. According to data from OpenAlex, Nataliya A. Markina has authored 10 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 3 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Nataliya A. Markina's work include Chemical synthesis and alkaloids (4 papers), Cyclization and Aryne Chemistry (4 papers) and Catalytic Alkyne Reactions (3 papers). Nataliya A. Markina is often cited by papers focused on Chemical synthesis and alkaloids (4 papers), Cyclization and Aryne Chemistry (4 papers) and Catalytic Alkyne Reactions (3 papers). Nataliya A. Markina collaborates with scholars based in United States, Italy and Russia. Nataliya A. Markina's co-authors include Richard C. Larock, Anton V. Dubrovskiy, Jesse P. Waldo, Donald C. Rogness, Yu Chen, Yu Chen, Gerald H. Lushington, Benjamin Neuenswander, Raffaella Mancuso and Chun Lu and has published in prestigious journals such as The Journal of Organic Chemistry, Tetrahedron and Organic & Biomolecular Chemistry.

In The Last Decade

Nataliya A. Markina

10 papers receiving 734 citations

Hit Papers

Use of benzynes for the s... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Nataliya A. Markina 721 105 58 29 28 10 743
Dachuan Qiu 620 0.9× 159 1.5× 62 1.1× 50 1.7× 32 1.1× 19 703
Eduard Valentí 561 0.8× 80 0.8× 52 0.9× 10 0.3× 19 0.7× 15 640
Serguei V. Kovalenko 666 0.9× 57 0.5× 137 2.4× 17 0.6× 26 0.9× 14 754
Simon L. Xu 662 0.9× 26 0.2× 105 1.8× 27 0.9× 22 0.8× 19 774
Yao-Jung Chen 572 0.8× 34 0.3× 90 1.6× 22 0.8× 11 0.4× 17 644
Donald C. Rogness 603 0.8× 39 0.4× 91 1.6× 16 0.6× 30 1.1× 9 650
Jose M. Medina 742 1.0× 125 1.2× 74 1.3× 24 0.8× 35 1.3× 12 764
Vikram C. Purohit 636 0.9× 43 0.4× 130 2.2× 20 0.7× 44 1.6× 15 738
Mitchell J. Bogdanowicz 573 0.8× 27 0.3× 79 1.4× 11 0.4× 54 1.9× 19 636
Shao‐Feng Pi 820 1.1× 40 0.4× 43 0.7× 11 0.4× 21 0.8× 17 888

Countries citing papers authored by Nataliya A. Markina

Since Specialization
Citations

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

Fields of papers citing papers by Nataliya A. Markina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nataliya A. Markina

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