Anna S. Gladkikh

64 total papers · 655 total citations
45 papers, 414 citations indexed

About

Anna S. Gladkikh is a scholar working on Infectious Diseases, Ecology and Environmental Chemistry. According to data from OpenAlex, Anna S. Gladkikh has authored 45 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 16 papers in Ecology and 13 papers in Environmental Chemistry. Recurrent topics in Anna S. Gladkikh's work include Microbial Community Ecology and Physiology (13 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (9 papers). Anna S. Gladkikh is often cited by papers focused on Microbial Community Ecology and Physiology (13 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (9 papers). Anna S. Gladkikh collaborates with scholars based in Russia, United States and South Korea. Anna S. Gladkikh's co-authors include О. И. Белых, В. В. Парфенова, Е. Г. Сороковикова, И. В. Тихонова, Alexander Kudryavtsev, Taewoong Ahn, Vladimir G. Dedkov, Yochan Joung, Sergey Feranchuk and Арег А. Тотолян and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and International Journal of Environmental Research and Public Health.

In The Last Decade

Anna S. Gladkikh

41 papers receiving 399 citations

Author Peers

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

Author Last Decade Papers Cites
Anna S. Gladkikh 187 128 104 82 48 45 414
Hsiu‐Hui Chiu 155 0.8× 136 1.1× 41 0.4× 47 0.6× 12 0.3× 34 436
C. John Burk 132 0.7× 219 1.7× 80 0.8× 100 1.2× 88 1.8× 28 478
Angelina Cordone 106 0.6× 156 1.2× 44 0.4× 21 0.3× 36 0.8× 31 381
Carlos Toledo‐Hernández 272 1.5× 71 0.6× 18 0.2× 27 0.3× 91 1.9× 31 477
Robert L Haddock 43 0.2× 67 0.5× 26 0.3× 27 0.3× 51 1.1× 33 479
Madeline R. Galac 112 0.6× 154 1.2× 72 0.7× 42 0.5× 9 0.2× 16 416
Xiaoqing Luo 211 1.1× 133 1.0× 19 0.2× 78 1.0× 17 0.4× 32 445
Eric R. Gann 242 1.3× 132 1.0× 82 0.8× 38 0.5× 6 0.1× 29 421
Hiroshi Xavier Chiura 217 1.2× 200 1.6× 41 0.4× 23 0.3× 49 1.0× 31 401
Fred J. Genthner 156 0.8× 144 1.1× 24 0.2× 36 0.4× 10 0.2× 28 453

Countries citing papers authored by Anna S. Gladkikh

Since Specialization
Citations

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

Fields of papers citing papers by Anna S. Gladkikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna S. Gladkikh

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