Sidorov Pi

22 papers receiving 531 citations

Peers

Sidorov Pi
Comparison fields: 5 of 81
  • Biological Psychiatry 28
  • Pathology and Forensic Medicine 181
  • Epidemiology 211
  • Hepatology 41
  • Endocrinology, Diabetes and Metabolism 52
Replace Asma Salari-Moghaddam with:
Asma Salari-Moghaddam Iran
Jose Antonio Santos-Marcos Spain
Rezvan Hashemi Iran
Alexander Müller Germany
Farshad Teymoori Iran
Mara Simoncini Italy
Sayyed Saeid Khayyatzadeh Iran
Aline Silva de Aguiar Brazil
Vandana Tayal India
Pablo Durán Venezuela
Sidorov Pi relative to Asma Salari-Moghaddam Iran Asma Salari-Moghaddam's profile →
Citations per field
00.5×10×16.5×
Asma Salari-Moghaddam · 1×
Citations per year

Countries citing papers authored by Sidorov Pi

Since Specialization
Citations

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

Fields of papers citing papers by Sidorov Pi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Sidorov Pi, 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 Sidorov Pi Line = papers co-authored together Sidorov Pi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008394
2 201499
3 200512
4 20148
5
Parental rearing: a comparison between juvenile delinquents and controls in Russia.
19978
6 20012
7 20132
8 20052
9 20152
10
[Psychosocial dysadaptation in students with chronic somatic diseases].
20022
11 20131
12 20131
13
Destructive professiogenesis in oncology.
20091
14 20171
15 20141
16 20141
17
Synergic paradigm of destructive professiogenesis.
20091
18 19981
19 19951
20 19931

About Sidorov Pi

Sidorov Pi is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health, Clinical Psychology, Philosophy and Sociology and Political Science, having authored 46 papers that have together received 548 indexed citations. Recurring topics across this work include Healthcare Systems and Public Health (6 papers), Mental Health and Psychiatry (5 papers), Human Health and Disease (4 papers), Psychology of Development and Education (3 papers), Health, psychology, and well-being (3 papers), Optimism, Hope, and Well-being (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Psychosomatic Disorders and Their Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (28 citations), Pathology and Forensic Medicine (181 citations), Epidemiology (211 citations), Hepatology (41 citations) and Endocrinology, Diabetes and Metabolism (52 citations). Sidorov Pi has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include Т. А. Бажукова, S. N. Leikhter, Matt Cave, Irina Kirpich, Shirish Barve, Craig J. McClain, Waguih William IsHak, Jim Mirocha, David James and Elizabeth Hanson. Their work appears in journals such as Journal of Drug Education, Alcohol, European Child & Adolescent Psychiatry, European Psychiatry and Acta Psychiatrica Scandinavica.

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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