L. A. Nikitina

35 total papers · 449 total citations
20 papers, 374 citations indexed

About

L. A. Nikitina is a scholar working on Pharmacology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, L. A. Nikitina has authored 20 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 4 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in L. A. Nikitina's work include Cholinesterase and Neurodegenerative Diseases (4 papers), Pesticide Exposure and Toxicity (4 papers) and Neurobiology and Insect Physiology Research (3 papers). L. A. Nikitina is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (4 papers), Pesticide Exposure and Toxicity (4 papers) and Neurobiology and Insect Physiology Research (3 papers). L. A. Nikitina collaborates with scholars based in Russia, United States and Serbia. L. A. Nikitina's co-authors include В. В. Безуглов, Jean M. Lauder, Gennady A. Buznikov, T. A. Dettlaff, O. G. Stroeva, Theodore A. Slotkin, G. A. Buznikov, Robert E. Peterson, Stephanie Padilla and A. O. Dennis Willows and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Environmental Health Perspectives and Cell and Tissue Research.

In The Last Decade

L. A. Nikitina

20 papers receiving 355 citations

Author Peers

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

Author						Papers	Cites
L. A. Nikitina	108	79	79	74	62	20	374
Adrieli Sachett	54 0.5×	41 0.5×	92 1.2×	84 1.1×	14 0.2×	25	389
Belén Gómez‐Giménez	61 0.6×	77 1.0×	57 0.7×	80 1.1×	47 0.8×	19	363
Farhad Ullah	40 0.4×	111 1.4×	25 0.3×	19 0.3×	73 1.2×	21	406
Amber N. Brown	185 1.7×	49 0.6×	47 0.6×	29 0.4×	14 0.2×	21	406
Leticia Miranda‐Contreras	83 0.8×	170 2.2×	72 0.9×	98 1.3×	27 0.4×	27	416
Carole L. Browne	201 1.9×	61 0.8×	42 0.5×	24 0.3×	86 1.4×	18	421
J. Schlatter	98 0.9×	57 0.7×	94 1.2×	68 0.9×	18 0.3×	15	435
Spencer T. Mukai	158 1.5×	65 0.8×	43 0.5×	11 0.1×	82 1.3×	19	406
María Florencia Rossetti	77 0.7×	24 0.3×	64 0.8×	67 0.9×	37 0.6×	23	406
Ali Alavian‐Ghavanini	130 1.2×	37 0.5×	136 1.7×	18 0.2×	16 0.3×	11	412

Countries citing papers authored by L. A. Nikitina

Since Specialization

Citations

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

Fields of papers citing papers by L. A. Nikitina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. A. Nikitina

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