Alex Katayev

17 papers receiving 833 citations

Peers

Alex Katayev
Comparison fields: 5 of 91
  • Statistics, Probability and Uncertainty 175
  • Physiology 385
  • Statistics and Probability 96
  • Medical Laboratory Technology 10
  • Health Informatics 10
Replace Margarita Sánchez Simón with:
Margarita Sánchez Simón Spain
Joana Minchinela Spain
Pål Rustad Norway
Farhad Arzideh Germany
Virtudes Álvarez Spain
Carmen Biosca Spain
Janice Gill Australia
Jean-Claude Libeer Belgium
Yunqi Chen Canada
C G Fraser United Kingdom
Alex Katayev relative to Margarita Sánchez Simón Spain Margarita Sánchez Simón's profile →
Citations per field
00.5×2×3×4×5×
Margarita Sánchez Simón · 1×
Citations per year

Countries citing papers authored by Alex Katayev

Since Specialization
Citations

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

Fields of papers citing papers by Alex Katayev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2018248
2 2010213
3 201976
4 202052
5 202050
6 201948
7 202136
8 201234
9 201032
10 202026
11 20209
12 20109
13 20239
14 20198
15 20156
16 20225
17 20214
18 20250

About Alex Katayev

Alex Katayev is a scholar working on Statistics, Probability and Uncertainty, Physiology, Statistics and Probability, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 865 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (9 papers), Meta-analysis and systematic reviews (8 papers), Statistical Methods in Clinical Trials (4 papers), Hemodynamic Monitoring and Therapy (3 papers), Renal function and acid-base balance (2 papers), Growth Hormone and Insulin-like Growth Factors (1 paper), Cardiovascular Syncope and Autonomic Disorders (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (175 citations), Physiology (385 citations), Statistics and Probability (96 citations), Medical Laboratory Technology (10 citations) and Health Informatics (10 citations). Alex Katayev has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Tze Ping Loh, David W. Seccombe, Andreas Bietenbeck, Mark A Cervinski, Tony C Badrick, Huub H. van Rossum, Thomas Streichert, Ken A. Sikaris, Graham R.D. Jones and Julian H. Barth. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Chemistry, American Journal of Clinical Pathology, Sexually Transmitted Diseases and Annals of Allergy Asthma & Immunology.

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.

Explore authors with similar magnitude of impact