A. K. Dadayan

494 citations
35 papers · 392 · h-index 10

Impact in

Papers in

A. K. Dadayan

32 papers receiving 375 citations

Peers

A. K. Dadayan
Comparison fields: 5 of 80
  • Pharmaceutical Science 119
  • Cellular and Molecular Neuroscience 70
  • Biological Psychiatry 8
  • Nutrition and Dietetics 51
  • Spectroscopy 46
Replace Gerald J. Putterman with:
Gerald J. Putterman United States
Tomáš Elbert Czechia
Liliya Fedulova Russia
M. Sabés Spain
Norihiro Shinkai Japan
Akiko Kiriyama Japan
Michal Bachar Israel
Oskar Engberg Germany
Elizabeth Drolle Canada
A. K. Dadayan relative to Gerald J. Putterman United States Gerald J. Putterman's profile →
Citations per field
00.5×10×
Gerald J. Putterman · 1×
Citations per year

Countries citing papers authored by A. K. Dadayan

Since Specialization
Citations

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

Fields of papers citing papers by A. K. Dadayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. K. Dadayan, 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 A. K. Dadayan Line = papers co-authored together A. K. Dadayan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200982
2 201480
3 200351
4 201026
5 200614
6 201612
7 201412
8 201310
9 200910
10 20219
11 20158
12 20038
13 20167
14 20057
15 20066
16 20065
17 20005
18 20084
19 20054
20 20214

About A. K. Dadayan

A. K. Dadayan is a scholar working on Pharmaceutical Science, Spectroscopy, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 35 papers that have together received 392 indexed citations. Recurring topics across this work include Chemical Reactions and Isotopes (23 papers), Mass Spectrometry Techniques and Applications (10 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Muon and positron interactions and applications (4 papers), Chemical Synthesis and Analysis (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Biochemical effects in animals (3 papers) and Molecular Spectroscopy and Structure (3 papers). The work is most often cited by research in Pharmaceutical Science (119 citations), Cellular and Molecular Neuroscience (70 citations), Biological Psychiatry (8 citations), Nutrition and Dietetics (51 citations) and Spectroscopy (46 citations). A. K. Dadayan has collaborated with scholars based in Russia, United Kingdom and Tajikistan. Frequent co-authors include Yu. A. Zolotarev, N. F. Myasoedov, Yu. А. Borisov, Н. В. Кост, O. Yu. Sokolov, A. A. Zozulya, S. A. Grachev, Eduard V. Bocharov, Oleg Varlamov and I. V. Nazimov. Their work appears in journals such as Amino Acids, Peptides, Chemical Reviews, Bioorganic Chemistry and Biomolecules.

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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