М. А. Саидова

711 total citations
91 papers, 189 citations indexed

About

М. А. Саидова is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, М. А. Саидова has authored 91 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Cardiology and Cardiovascular Medicine, 23 papers in Pulmonary and Respiratory Medicine and 19 papers in Surgery. Recurrent topics in М. А. Саидова's work include Cardiovascular Function and Risk Factors (29 papers), Cardiac Imaging and Diagnostics (17 papers) and Cardiac Valve Diseases and Treatments (16 papers). М. А. Саидова is often cited by papers focused on Cardiovascular Function and Risk Factors (29 papers), Cardiac Imaging and Diagnostics (17 papers) and Cardiac Valve Diseases and Treatments (16 papers). М. А. Саидова collaborates with scholars based in Russia, United States and Italy. М. А. Саидова's co-authors include О. В. Стукалова, T. V. Martynyuk, А. S. Galyavich, Akpay Sarybaev, С. Н. Терещенко, О. Л. Барбараш, С. В. Шалаев, Parounak Zelveian, И. В. Жиров and И Е Чазова and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinica Chimica Acta and Journal of Hypertension.

In The Last Decade

М. А. Саидова

58 papers receiving 178 citations

Peers

М. А. Саидова
Comparison fields: 5 of 36
  • Cardiology and Cardiovascular Medicine 154
  • Pulmonary and Respiratory Medicine 72
  • Radiology, Nuclear Medicine and Imaging 32
  • Epidemiology 25
  • Surgery 17
Replace Rohit Walia with:
Rohit Walia India
Omar Issa United States
Isabel G. Scalia United States
Miloš Tajsić Austria
S. Trivedi Australia
Vasileios Anastasiou Greece
Christina Kronberger Austria
Joseph Abunassar Canada
Katarzyna Małaczyńska-Rajpold United Kingdom
Narayana Prasad United States
Rohit Walia India View profile →
Citations per field, relative to М. А. Саидова
М. А. Саидова · 1×
Citations per year, relative to М. А. Саидова
М. А. Саидова · 1×

Countries citing papers authored by М. А. Саидова

Since Specialization
Citations

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

Fields of papers citing papers by М. А. Саидова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by М. А. Саидова. 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 М. А. Саидова. The network helps show where М. А. Саидова may publish in the future.

Co-authorship network of co-authors of М. А. Саидова

This figure shows the co-authorship network connecting the top 25 collaborators of М. А. Саидова. A scholar is included among the top collaborators of М. А. Саидова 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 М. А. Саидова. М. А. Саидова is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 2
5 1
6 1
7 0
8 1
9 0
10 2
11 1
12 1
13 1
14 1
15 8
16 4
17 2
18 2
19 1
20
Is there an association of uric acid level with preclinical target organ damage in moderate-and high-risk hypertensive patients?
1

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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