Alexey Danilkovich

631 citations
16 papers · 535 indexed · h-index 8

Alexey Danilkovich

15 papers receiving 519 citations

Peers

Alexey Danilkovich
Comparison fields: 5 of 80
  • Aging 15
  • Hepatology 59
  • Gastroenterology 40
  • Endocrinology 37
  • Cellular and Molecular Neuroscience 106
Replace Shijian Chu with:
Shijian Chu United States
J.-F. Brun France
James K. Petell United States
Stephen L. Carrithers United States
Amika Singla United States
Werner Dammermann Germany
Agnieszka A. Kendrick United States
Kyoji Seno Japan
Kenneth J. Dery United States
R. Sergio Solórzano-Vargas United States
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Citations per field
00.5×7.5×
Shijian Chu · 1×
Citations per year

Countries citing papers authored by Alexey Danilkovich

Since Specialization
Citations

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

Fields of papers citing papers by Alexey Danilkovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20222
2 20183
3 20161
4 201524
5 20124
6 20113
7 20114
8 20113
9 200142
10 200031
11 200058
12 20002
13 199968
14 199994
15 1998150
16 199846

About Alexey Danilkovich

Alexey Danilkovich is a scholar working on Biomaterials, Cellular and Molecular Neuroscience, Pharmacology, Gastroenterology and Microbiology, having authored 16 papers that have together received 535 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (6 papers), Neuropeptides and Animal Physiology (5 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Supramolecular Self-Assembly in Materials (4 papers), Protein Structure and Dynamics (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Gastroesophageal reflux and treatments (1 paper). The work is most often cited by research in Aging (15 citations), Hepatology (59 citations), Gastroenterology (40 citations), Endocrinology (37 citations) and Cellular and Molecular Neuroscience (106 citations). Alexey Danilkovich has collaborated with scholars based in United States and Russia. Frequent co-authors include Richard V. Benya, Kristina A. Matkowskyj, Jorge A. Marrero, Terry G. Unterman, Shaodong Guo, Gail Hecht, Shahab Uddin, Anke Klippel, Robert E. Carroll and Richard M. Green. Their work appears in journals such as Journal of Biological Chemistry, Frontiers in Pharmacology, Molecular Pharmacology, American Journal of Physiology-Gastrointestinal and Liver Physiology and Nature Medicine.

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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