Liene Ņikitina-Zaķe

17.2k citations
30 papers · 500 indexed · h-index 13
Topics
Immune Cell Function and Interaction (7 papers)Diabetes and associated disorders (6 papers)Genetic Associations and Epidemiology (5 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEAnnals of the New York Academy of Sciences

In The Last Decade

Liene Ņikitina-Zaķe

28 papers receiving 493 citations

Peers

Liene Ņikitina-Zaķe
Comparison fields: 5 of 90
  • Molecular Biology 159
  • Genetics 142
  • Endocrinology, Diabetes and Metabolism 134
  • Immunology 106
  • Surgery 101
Replace Kirill V. Savostyanov with:
Kirill V. Savostyanov Russia
Michiyo Ishii Japan
Parvin Amiri Iran
Marcel G. M. Wolfs Netherlands
Silke Rosinger Germany
Hironaga Kuwahara Japan
Jürgen Herwig Germany
Muneharu Yamada Japan
Alinda W.M. Schimmel Netherlands
Monika Paroder United States
Liene Ņikitina-Zaķe relative to Kirill V. Savostyanov Russia Kirill V. Savostyanov's profile →
Citations per field
00.5×1.5×2.4×
Kirill V. Savostyanov · 1×
Citations per year

Countries citing papers authored by Liene Ņikitina-Zaķe

Since Specialization
Citations

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

Fields of papers citing papers by Liene Ņikitina-Zaķe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liene Ņikitina-Zaķe. 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 Liene Ņikitina-Zaķe. The network helps show where Liene Ņikitina-Zaķe may publish in the future.

Co-authorship network of co-authors of Liene Ņikitina-Zaķe

This figure shows the co-authorship network connecting the top 25 collaborators of Liene Ņikitina-Zaķe. A scholar is included among the top collaborators of Liene Ņikitina-Zaķe 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 Liene Ņikitina-Zaķe. Liene Ņikitina-Zaķe 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
#WorkIndexed citations
1 1
2 54
3 25
4 11
5 5
6 2
7 12
8 23
9 41
10 23
11 36
12 96
13 18
14 7
15 45
16 3
17 13
18 14
19 2
20 32

About Liene Ņikitina-Zaķe

Liene Ņikitina-Zaķe is a scholar working on Internal Medicine, Immunology and Genetics, having authored 30 papers that have together received 500 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Diabetes and associated disorders (6 papers) and Genetic Associations and Epidemiology (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (134 citations), Clinical Biochemistry (36 citations) and Genetics (142 citations). Liene Ņikitina-Zaķe has collaborated with scholars based in Latvia, Sweden and United States. Frequent co-authors include Jānis Kloviņš, Dāvids Frīdmanis, Carani B. Sanjeevi, Valdis Pīrāgs, Kristine Geldnere, Ineta Kalniņa, Linda Zaharenko, Vita Rovīte, Raitis Pečulis and I. Rumba. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of the New York Academy of Sciences.

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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