Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Treatment of Hypertension in Patients 80 Years of Age or Older
20081.9k citationsJan A. Staessen, Nikitin IuP et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Nikitin IuP'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 Nikitin IuP with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikitin IuP more than expected).
This network shows the impact of papers produced by Nikitin IuP. 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 Nikitin IuP. The network helps show where Nikitin IuP may publish in the future.
Co-authorship network of co-authors of Nikitin IuP
This figure shows the co-authorship network connecting the top 25 collaborators of Nikitin IuP.
A scholar is included among the top collaborators of Nikitin IuP based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Nikitin IuP. Nikitin IuP is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Рымар, О. Д., С. В. Мустафина, Г. И. Симонова, Д. В. Денисова, & Nikitin IuP. (2012). Эпидемиологические исследования йодного дефицита и тиреоидной патологии в крупном центре Западной Сибири в 1995–2010 гг. (на примере Новосибирска). 8(2).
8.
Денисова, Д. В., et al.. (2009). Smoking in adolescents: prevalence and 15-year trends (population surveys in Novosibirsk, 1989—2003). SHILAP Revista de lepidopterología.1 indexed citations
9.
IuP, Nikitin, О. Д. Рымар, В. Н. Максимов, et al.. (2008). Полиморфизм A49G гена цитотоксического Т-лимфоцит-связанного иммуноглобулина 4 (CTLA4), связь с аутоиммунными заболеваниями щитовидной железы в популяции Новосибирска. 4(4).
10.
IuP, Nikitin, et al.. (2005). Family history and coronary heart disease in Novosibirsk City population (Program WHO-MONICA). SHILAP Revista de lepidopterología.
IuP, Nikitin, et al.. (1996). [The epidemiology of cerebral stroke in Siberia based on registry data].. PubMed. 96(6). 59–65.2 indexed citations
13.
IuP, Nikitin, et al.. (1993). Prevalence and risk factors of iron-deficiency in women of Chukotka.. PubMed. 52(1). 13–6.1 indexed citations
14.
IuP, Nikitin, et al.. (1993). The Chukotka Chronic Diseases Study, Chukotka, Russia.. PubMed. 52(1). 22–5.2 indexed citations
15.
Heinemann, Lothar, Vilius Jonas Grabauskas, Nikitin IuP, S Rywik, & J Sznajd. (1990). Comparative data on diet and risk factors from five Eastern European communities.. PubMed. 38(5-6). 525–30.3 indexed citations
16.
Golubkov, Yu. A., Nikitin IuP, & A. Zhilin. (1983). QUARK FUSION MODEL AND CHARMED MESON PRODUCTION IN NUCLEON COLLISIONS. (IN RUSSIAN). 37. 1514–1522.
17.
Abramov, V., B. A. Dolgoshein, V. A. Kantserov, et al.. (1975). Pion and Kaon Production with Large Transverse Momenta by Protons on Cu and Be Nuclei at 35-GeV, 50-GeV and 70-GeV. Sov.J.Nucl.Phys.. 23. 1195–1201.
18.
IuP, Nikitin, et al.. (1966). QUANTIZATION OF AN ELECTROMAGNETIC FIELD IN A DISPERSIVE MEDIUM. 23. 608.3 indexed citations
19.
IuP, Nikitin, et al.. (1962). ON INELASTIC DIFFRACTION PROCESSES AT HIGH ENERGIES. 16. 1222.
20.
IuP, Nikitin, et al.. (1960). ON THE NUCLEON-NUCLEON POTENTIAL. Zhur. Eksptl'. i Teoret. Fiz..2 indexed citations
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.