Alina Shitrit

2.7k citations
18 papers · 2.1k indexed · 1 hit paper · h-index 12

Alina Shitrit

17 papers receiving 2.0k citations

Hit Papers

Hyperinsulinemia. A link between hypertension obesity and...198520261998201219854008001.2k

Peers

Alina Shitrit
Comparison fields: 5 of 123
  • Endocrinology, Diabetes and Metabolism 743
  • Molecular Biology 684
  • Physiology 568
  • Cardiology and Cardiovascular Medicine 435
  • Epidemiology 306
Replace Antti Virkamäki with:
Antti Virkamäki Finland
Kuchan Kimm South Korea
Oliver Bachmann Germany
Merri Pendergrass United States
Nadia Mores Italy
Junta Imai Japan
Kenji Uno Japan
Jukka Kero Finland
R. Clinton Webb United States
Margaret G. Ehm United States
Alina Shitrit relative to Antti Virkamäki Finland Antti Virkamäki's profile →
Citations per field
00.5×1.7×
Antti Virkamäki · 1×
Citations per year

Countries citing papers authored by Alina Shitrit

Since Specialization
Citations

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

Fields of papers citing papers by Alina Shitrit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alina Shitrit

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 3
2 4
3 45
4 33
5 173
6 84
7 90
8 71
9 7
10 30
11 0
12 1
13 73
14 24
15 4
16 74
17 123
18
Hyperinsulinemia. A link between hypertension obesity and glucose intolerance.breakdown →
1240

About Alina Shitrit

Alina Shitrit is a scholar working on Developmental Neuroscience, Cancer Research and Molecular Biology, having authored 18 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Pluripotent Stem Cells Research (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (743 citations), Physiology (568 citations) and Cardiology and Cardiovascular Medicine (435 citations). Alina Shitrit has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Ayala Lusky, Michaela Modan, Hillel Halkin, Z Fuchs, M. Shefi, Shlomo Almog, Aliza Eshkol, Noam Stern‐Ginossar, Baruch Modan and Avraham Karasik. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Journal of Clinical Oncology.

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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