Larissa Chirkova

22 total papers · 790 total citations
13 papers, 567 citations indexed

About

Larissa Chirkova is a scholar working on Cardiology and Cardiovascular Medicine, Plant Science and Physiology. According to data from OpenAlex, Larissa Chirkova has authored 13 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 5 papers in Plant Science and 3 papers in Physiology. Recurrent topics in Larissa Chirkova's work include Antiplatelet Therapy and Cardiovascular Diseases (4 papers), GABA and Rice Research (2 papers) and Plant Stress Responses and Tolerance (2 papers). Larissa Chirkova is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (4 papers), GABA and Rice Research (2 papers) and Plant Stress Responses and Tolerance (2 papers). Larissa Chirkova collaborates with scholars based in Australia, China and France. Larissa Chirkova's co-authors include John D. Horowitz, Yuliy Y. Chirkov, Mamoru Okamoto, Matthew Gilliham, Andrew Holmes, Xujun Zhu, Bo Xu, Yu Long, Johannes Herrmann and Na Sai and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Larissa Chirkova

13 papers receiving 559 citations

Hit Papers

GABA signalling modulates... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Larissa Chirkova 381 138 123 70 38 13 567
Hannah L. Parsons 127 0.3× 380 2.8× 159 1.3× 114 1.6× 36 0.9× 8 558
Ying Fu 114 0.3× 399 2.9× 146 1.2× 121 1.7× 13 0.3× 16 664
Yanjuan Yang 427 1.1× 274 2.0× 147 1.2× 25 0.4× 17 0.4× 32 697
Tzu‐Wen Liu 179 0.5× 315 2.3× 23 0.2× 261 3.7× 16 0.4× 14 669
Aleksandra Czumaj 141 0.4× 283 2.1× 23 0.2× 86 1.2× 10 0.3× 26 660
Qianjin Feng 61 0.2× 220 1.6× 196 1.6× 28 0.4× 47 1.2× 18 548
Rachel Navet 52 0.1× 385 2.8× 33 0.3× 204 2.9× 11 0.3× 21 652
Patricia H. Adams 433 1.1× 330 2.4× 25 0.2× 16 0.2× 6 0.2× 9 684
Lijing Sun 343 0.9× 197 1.4× 25 0.2× 21 0.3× 10 0.3× 26 526
Dandan Jia 163 0.4× 263 1.9× 93 0.8× 124 1.8× 47 1.2× 29 550

Countries citing papers authored by Larissa Chirkova

Since Specialization
Citations

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

Fields of papers citing papers by Larissa Chirkova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larissa Chirkova. 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 Larissa Chirkova. The network helps show where Larissa Chirkova may publish in the future.

Co-authorship network of co-authors of Larissa Chirkova

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