Dmitry Tchapyjnikov

2.0k citations
17 papers · 1.2k indexed · 1 hit paper · h-index 13

Dmitry Tchapyjnikov

17 papers receiving 1.2k citations

Hit Papers

Large-Scale Proteomics and Phosphoproteomics of Urinary E...5922008202620142020100200300400500

Peers

Dmitry Tchapyjnikov
Comparison fields: 5 of 96
  • Nephrology 124
  • Molecular Biology 914
  • Cancer Research 162
  • Clinical Biochemistry 56
  • Pulmonary and Respiratory Medicine 248
Replace H.-J. Gröne with:
H.-J. Gröne Germany
Thomas Ardito United States
Thomas C. Markello United States
Meral Özgüç Türkiye
Inger Schousboe Denmark
Tipu S. Puri United States
R. Brian Doctor United States
Roel Bijkerk Netherlands
Daniella Magen Israel
Cornelis Jan Pronk Sweden
Dmitry Tchapyjnikov relative to H.-J. Gröne Germany H.-J. Gröne's profile →
Citations per field
00.5×2.6×
H.-J. Gröne · 1×
Citations per year

Countries citing papers authored by Dmitry Tchapyjnikov

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Tchapyjnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20225
2 202010
3
Attention-Based Network for Weak Labels in Neonatal Seizure Detection.
202017
4 201826
5 201839
6 201812
7 20183
8 201716
9 201720
10 201727
11 201621
12 200939
13 200838
14 2008204
15
Large-Scale Proteomics and Phosphoproteomics of Urinary Exosomesbreakdown →
2008592
16 200763
17 200668

About Dmitry Tchapyjnikov

Dmitry Tchapyjnikov is a scholar working on Clinical Biochemistry, Psychiatry and Mental health and Endocrine and Autonomic Systems, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (7 papers), Epilepsy research and treatment (5 papers), Metabolism and Genetic Disorders (4 papers), Neuroendocrine regulation and behavior (3 papers), Neonatal and fetal brain pathology (2 papers), Diet and metabolism studies (2 papers), Neuroscience of respiration and sleep (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Nephrology (124 citations), Molecular Biology (914 citations) and Cancer Research (162 citations). Dmitry Tchapyjnikov has collaborated with scholars based in United States, Chile and Denmark. Frequent co-authors include Mark A. Knepper, Trairak Pisitkun, Jason D. Hoffert, Patricia A. Gonzales, Nam Sun Wang, Robert A. Star, Robert Kleta, Ming‐Jiun Yu, Brigitte Simons and Mohamad A. Mikati. Their work appears in journals such as Seizure, Physiological Genomics, Epilepsy Research, PEDIATRICS and American Journal of Physiology-Renal Physiology.

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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