Tamara Bakuradze

48 total papers · 997 total citations
36 papers, 686 citations indexed

About

Tamara Bakuradze is a scholar working on Pharmacology, Biochemistry and Molecular Biology. According to data from OpenAlex, Tamara Bakuradze has authored 36 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pharmacology, 16 papers in Biochemistry and 13 papers in Molecular Biology. Recurrent topics in Tamara Bakuradze's work include Phytochemicals and Antioxidant Activities (16 papers), Coffee research and impacts (15 papers) and Genomics, phytochemicals, and oxidative stress (8 papers). Tamara Bakuradze is often cited by papers focused on Phytochemicals and Antioxidant Activities (16 papers), Coffee research and impacts (15 papers) and Genomics, phytochemicals, and oxidative stress (8 papers). Tamara Bakuradze collaborates with scholars based in Germany, Austria and Australia. Tamara Bakuradze's co-authors include Elke Richling, Gerhard Eisenbrand, Roman Lang, Thomas Hofmann, Gerhard Bytof, Ingo Lantz, Doris Marko, Herbert Stiebitz, Matthias Baum and C. Janzowski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Tamara Bakuradze

35 papers receiving 667 citations

Author Peers

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

Author						Papers	Cites
Tamara Bakuradze	228	170	158	150	106	36	686
Yuko Takano‐Ishikawa	150 0.7×	226 1.3×	126 0.8×	194 1.3×	111 1.0×	48	793
C. Gregotti	210 0.9×	158 0.9×	176 1.1×	81 0.5×	121 1.1×	29	740
J. Parantainen	109 0.5×	187 1.1×	73 0.5×	169 1.1×	99 0.9×	32	790
Charlotte Mills	153 0.7×	161 0.9×	98 0.6×	162 1.1×	107 1.0×	32	746
P. van de Bovenkamp	182 0.8×	153 0.9×	73 0.5×	160 1.1×	79 0.7×	24	663
Yung‐Lin Chu	144 0.6×	87 0.5×	143 0.9×	329 2.2×	67 0.6×	33	772
Ingo Lantz	394 1.7×	64 0.4×	178 1.1×	113 0.8×	141 1.3×	20	667
Irene Roncero‐Ramos	206 0.9×	93 0.5×	59 0.4×	255 1.7×	44 0.4×	31	761
Kazuya Iwai	179 0.8×	125 0.7×	105 0.7×	305 2.0×	82 0.8×	24	756
Catarina Petisca	101 0.4×	59 0.3×	267 1.7×	83 0.6×	91 0.9×	22	691

Countries citing papers authored by Tamara Bakuradze

Since Specialization

Citations

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

Fields of papers citing papers by Tamara Bakuradze

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Bakuradze

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