Nadezhda Markova

74 total papers · 969 total citations
49 papers, 803 citations indexed

About

Nadezhda Markova is a scholar working on Organic Chemistry, Physical and Theoretical Chemistry and Molecular Biology. According to data from OpenAlex, Nadezhda Markova has authored 49 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Organic Chemistry, 11 papers in Physical and Theoretical Chemistry and 9 papers in Molecular Biology. Recurrent topics in Nadezhda Markova's work include Photochemistry and Electron Transfer Studies (10 papers), Synthesis and biological activity (6 papers) and Chemical Reaction Mechanisms (6 papers). Nadezhda Markova is often cited by papers focused on Photochemistry and Electron Transfer Studies (10 papers), Synthesis and biological activity (6 papers) and Chemical Reaction Mechanisms (6 papers). Nadezhda Markova collaborates with scholars based in Bulgaria, India and Czechia. Nadezhda Markova's co-authors include Venelin Enchev, Iliya Rashkov, Nevena Manolova, Mariya Spasova, Galya Ivanova, Daniela Batovska, Rakesh Sehgal, Shweta Sinha, Silvia Angelova and Bikash Medhi and has published in prestigious journals such as The Journal of Physical Chemistry B, Scientific Reports and Chemical Physics Letters.

In The Last Decade

Nadezhda Markova

48 papers receiving 789 citations

Author Peers

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

Author						Papers	Cites
Nadezhda Markova	290	166	159	131	121	49	803
Dan Lundberg	319 1.1×	176 1.1×	214 1.3×	119 0.9×	108 0.9×	40	744
D. Eagland	185 0.6×	117 0.7×	150 0.9×	132 1.0×	125 1.0×	35	771
Vinod K. Aswal	444 1.5×	131 0.8×	108 0.7×	98 0.7×	129 1.1×	37	790
Isabel Sández-Macho	372 1.3×	210 1.3×	180 1.1×	108 0.8×	114 0.9×	28	787
Daojun Liu	347 1.2×	196 1.2×	383 2.4×	209 1.6×	117 1.0×	39	968
Marc Obiols‐Rabasa	250 0.9×	164 1.0×	196 1.2×	172 1.3×	293 2.4×	29	803
Bhavesh Bharatiya	501 1.7×	81 0.5×	103 0.6×	72 0.5×	153 1.3×	40	761
Prateek K. Jha	248 0.9×	133 0.8×	106 0.7×	125 1.0×	257 2.1×	35	787
Nihal Aydoğan	273 0.9×	166 1.0×	202 1.3×	233 1.8×	202 1.7×	48	843
Stefan Ulvenlund	383 1.3×	134 0.8×	244 1.5×	88 0.7×	195 1.6×	43	960

Countries citing papers authored by Nadezhda Markova

Since Specialization

Citations

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

Fields of papers citing papers by Nadezhda Markova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadezhda Markova

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