Mikhail Elyashberg

2.5k citations
78 papers · 1.8k indexed · h-index 26

Impact in

Papers in

Mikhail Elyashberg

75 papers receiving 1.6k citations

Peers

Mikhail Elyashberg
Comparison fields: 5 of 97
  • Spectroscopy 1.1k
  • Computational Theory and Mathematics 521
  • Analytical Chemistry 182
  • Pharmacology 298
  • Physical and Theoretical Chemistry 127
Replace Kirill A. Blinov with:
Kirill A. Blinov United States
Derek P. Reynolds United Kingdom
Christoph Rücker Germany
Darko Butina United Kingdom
Manuel Pastor Spain
Nabil El Tayar Switzerland
Gary E. Martin United States
Lars Ridder Netherlands
Sérgio Clementi Italy
John G. Topliss United States
Mikhail Elyashberg relative to Kirill A. Blinov United States Kirill A. Blinov's profile →
Citations per field
00.5×3.6×
Kirill A. Blinov · 1×
Citations per year

Countries citing papers authored by Mikhail Elyashberg

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Elyashberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mikhail Elyashberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mikhail Elyashberg Line = papers co-authored together Mikhail Elyashberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20252
4 20250
5 20242
6 20237
7 20235
8 20239
9 20230
10 20192
11 201220
12 201290
13 201030
14 200910
15 200945
16 200916
17 200625
18 20046
19 200337
20 197621

About Mikhail Elyashberg

Mikhail Elyashberg is a scholar working on Spectroscopy, Computational Theory and Mathematics, Analytical Chemistry, Physical and Theoretical Chemistry and General Engineering, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (36 papers), Molecular spectroscopy and chirality (36 papers), Analytical Chemistry and Chromatography (34 papers), Metabolomics and Mass Spectrometry Studies (11 papers), Spectroscopy and Chemometric Analyses (11 papers), Microbial Natural Products and Biosynthesis (9 papers), Various Chemistry Research Topics (8 papers) and Plant biochemistry and biosynthesis (5 papers). The work is most often cited by research in Spectroscopy (1.1k citations), Computational Theory and Mathematics (521 citations), Analytical Chemistry (182 citations), Pharmacology (298 citations) and Physical and Theoretical Chemistry (127 citations). Mikhail Elyashberg has collaborated with scholars based in Russia, United States and Australia. Frequent co-authors include Antony Williams, Kirill A. Blinov, Gary E. Martin, Л. А. Грибов, Sergey G. Molodtsov, Alexei V. Buevich, Eduard R. Martirosian, Yegor D. Smurnyy, Andrei G. Kutateladze and J. T. Clerc. Their work appears in journals such as Magnetic Resonance in Chemistry, Analytica Chimica Acta, Journal of Natural Products, European Journal of Organic Chemistry and Journal of Chemical Information and Modeling.

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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