Е. Н. Николаев

7.6k total citations
372 papers, 5.7k citations indexed

About

Е. Н. Николаев is a scholar working on Spectroscopy, Molecular Biology and Physiology. According to data from OpenAlex, Е. Н. Николаев has authored 372 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Spectroscopy, 121 papers in Molecular Biology and 54 papers in Physiology. Recurrent topics in Е. Н. Николаев's work include Mass Spectrometry Techniques and Applications (161 papers), Metabolomics and Mass Spectrometry Studies (79 papers) and Analytical Chemistry and Chromatography (66 papers). Е. Н. Николаев is often cited by papers focused on Mass Spectrometry Techniques and Applications (161 papers), Metabolomics and Mass Spectrometry Studies (79 papers) and Analytical Chemistry and Chromatography (66 papers). Е. Н. Николаев collaborates with scholars based in Russia, United States and Germany. Е. Н. Николаев's co-authors include А. С. Кононихин, Yury Kostyukevich, Igor Popov, Alexander Zherebker, Gleb Vladimirov, Irina V. Perminova, Mikhail V. Gorshkov, R. Graham Cooks, Gökhan Baykut and Maria I. Indeykina and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.

In The Last Decade

Е. Н. Николаев

349 papers receiving 5.6k citations

Peers

Е. Н. Николаев

SPECT

Richard A. Yost United States

Erin Baker United States

Peter B. O’Connor United Kingdom

Richard B. Cole United States

David Touboul France

K. W. Michael Siu Canada

John A. McLean United States

Michael Guilhaus Australia

Bernhard Spengler Germany

Olivier Laprévôte France

Richard A. Yost United States

Е. Н. Николаев

4.5k ×1.5

SPECT

2.9k ×1.6

1.1k ×1.4

965 ×1.5

575 ×1.2

Citations per year, relative to Е. Н. Николаев Е. Н. Николаев (= 1×) peers Richard A. Yost

Countries citing papers authored by Е. Н. Николаев

Since Specialization

Citations

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

Fields of papers citing papers by Е. Н. Николаев

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Е. Н. Николаев. 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 Е. Н. Николаев. The network helps show where Е. Н. Николаев may publish in the future.

Co-authorship network of co-authors of Е. Н. Николаев

This figure shows the co-authorship network connecting the top 25 collaborators of Е. Н. Николаев. A scholar is included among the top collaborators of Е. Н. Николаев 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 Е. Н. Николаев. Е. Н. Николаев is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Кононихин, А. С., Anna E. Bugrova, Maria I. Indeykina, et al.. (2025). Multiplexed Quantitation of Plasma Proteins by Targeted Mass Spectrometry for Early Diagnosis of Pancreatic Ductal Adenocarcinoma. International Journal of Molecular Sciences. 26(18). 9219–9219.

Zherebker, Alexander, Anna E. Bugrova, M. N. Yurova, et al.. (2025). Hepatoprotective Activity of Nature-Derived Polyphenols Studied by Mass Spectrometry Based Multi-OMICS Approach. International Journal of Molecular Sciences. 26(4). 1604–1604. 1 indexed citations

Efimova, Olga, et al.. (2025). Lipid Composition Diversity of the Human Brain White Matter Tracts. Journal of Neurochemistry. 169(3). e70042–e70042. 1 indexed citations

Starodubtseva, Natalia, А. С. Кононихин, Alexander Brzhozovskiy, et al.. (2024). First-Trimester Preeclampsia-Induced Disturbance in Maternal Blood Serum Proteome: A Pilot Study. International Journal of Molecular Sciences. 25(19). 10653–10653. 1 indexed citations

Sorokin, Anatoly, et al.. (2023). Shapley Value as a Quality Control for Mass Spectra of Human Glioblastoma Tissues. Data. 8(1). 21–21. 1 indexed citations

Кононихин, А. С., Alexander Brzhozovskiy, Anna E. Bugrova, et al.. (2023). Targeted MRM Quantification of Urinary Proteins in Chronic Kidney Disease Caused by Glomerulopathies. Molecules. 28(8). 3323–3323. 3 indexed citations

Kostyukevich, Yury, et al.. (2023). Untargeted Lipidomics after D2O Administration Reveals the Turnover Rate of Individual Lipids in Various Organs of Living Organisms. International Journal of Molecular Sciences. 24(14). 11725–11725. 2 indexed citations

Goldt, Anastasia E., Masashi Suzuki, Sergey D. Shandakov, et al.. (2022). Albumin Stabilized Fe@C Core–Shell Nanoparticles as Candidates for Magnetic Hyperthermia Therapy. Nanomaterials. 12(16). 2869–2869. 5 indexed citations

Sorokin, Anatoly, et al.. (2022). Aggregation of Multimodal ICE-MS Data into Joint Classifier Increases Quality of Brain Cancer Tissue Classification. Data. 8(1). 8–8. 1 indexed citations

10.

Richard, Vincent R., Robert Popp, Alexander Brzhozovskiy, et al.. (2022). Early Prediction of COVID-19 Patient Survival by Targeted Plasma Multi-Omics and Machine Learning. Molecular & Cellular Proteomics. 21(10). 100277–100277. 24 indexed citations

11.

Ларина, И. М., et al.. (2022). The lightweight spherical samplers for simplified collection, storage, and ambient ionization of drugs from saliva and blood. Acta Astronautica. 195. 556–560. 3 indexed citations

12.

Кононихин, А. С., Natalia V. Zakharova, Anna E. Bugrova, et al.. (2022). Prognosis of Alzheimer’s Disease Using Quantitative Mass Spectrometry of Human Blood Plasma Proteins and Machine Learning. International Journal of Molecular Sciences. 23(14). 7907–7907. 16 indexed citations

13.

Chagovets, Vitaliy, et al.. (2021). Comparison of the effectiveness of variable selection method for creating a diagnostic panel of biomarkers for mass spectrometric lipidome analysis. Journal of Mass Spectrometry. 56(3). e4702–e4702. 7 indexed citations

14.

Sorokin, Anatoly, et al.. (2021). Lipid Profiles of Human Brain Tumors Obtained by High-Resolution Negative Mode Ambient Mass Spectrometry. Data. 6(12). 132–132. 4 indexed citations

15.

Zhernov, Yury V., Andrey I. Konstantinov, Alexander Zherebker, et al.. (2020). Antiviral activity of natural humic substances and shilajit materials against HIV-1: Relation to structure. Environmental Research. 193. 110312–110312. 38 indexed citations

16.

Yakovleva, M. A., А. С. Татиколов, А. С. Кононихин, et al.. (2017). Lutein and its oxidized forms in eye structures throughout prenatal human development. Experimental Eye Research. 160. 31–37. 21 indexed citations

17.

Кононихин, А. С., et al.. (2016). Early diagnosis of lung cancer based on proteome analysis of exhaled breath condensate. Moscow University Chemistry Bulletin. 71(2). 134–139. 8 indexed citations

18.

Gorshkov, Mikhail V., et al.. (1989). Determination of the nuclear magnetic moment of a deuterium atom with an accuracy of 1.3·10 -9. Soviet physics. Doklady. 34. 362.

19.

Николаев, Е. Н., et al.. (1984). Ion-cyclotron-resonance measurement of the mass difference between tritium and helium-3. 39. 441. 2 indexed citations

20.

Николаев, Е. Н., et al.. (1975). Emission of charged clusters from water films with different isotopic mixtures. Soviet physics. Technical physics. 20. 249. 1 indexed citations

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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