Maria Kalina

853 citations
26 papers · 370 indexed · h-index 9
Topics
Growth Hormone and Insulin-like Growth Factors (8 papers)Genetic Syndromes and Imprinting (4 papers)Pituitary Gland Disorders and Treatments (4 papers)
Partner nations
PolandCanadaGermany

In The Last Decade

Maria Kalina

25 papers receiving 353 citations

Peers

Maria Kalina
Comparison fields: 5 of 61
  • Molecular Biology 174
  • Endocrinology, Diabetes and Metabolism 113
  • Genetics 90
  • Immunology 39
  • Surgery 37
Replace Yuichi Fujinaka with:
Yuichi Fujinaka Japan
Erwin Lankes Germany
Stephen W. Anderson United States
M C Postel-Vinay France
Pik To Cheung Hong Kong
Marta Ciaccio Argentina
Shuo Lin China
George Jeha United States
Stanisław Zajączek Poland
Lucila Sackmann‐Sala United States
Maria Kalina relative to Yuichi Fujinaka Japan Yuichi Fujinaka's profile →
Citations per field
00.5×
Yuichi Fujinaka · 1×
Citations per year

Countries citing papers authored by Maria Kalina

Since Specialization
Citations

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

Fields of papers citing papers by Maria Kalina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Kalina

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Kalina. A scholar is included among the top collaborators of Maria Kalina 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 Maria Kalina. Maria Kalina 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 6
3 1
4 6
5 2
6 165
7 18
8 6
9 25
10 3
11 11
12
[Causes of precocious puberty in children referred for evaluation in hospital conditions].
2
13
[Familial glucocorticoid deficiency].
2
14
Angelman syndrome and hypothyroidism - coincidence or unique correlation?
0
15 13
16 41
17 7
18
[Ultrasound examination of the scrotum in boys].
1
19
[The depression level in patients with obstructive sleep apnea syndrome (preliminary presentation)].
2
20 15

About Maria Kalina

Maria Kalina is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Cancer Research, having authored 26 papers that have together received 370 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Genetic Syndromes and Imprinting (4 papers) and Pituitary Gland Disorders and Treatments (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (113 citations), Genetics (90 citations) and Molecular Biology (174 citations). Maria Kalina has collaborated with scholars based in Poland, Canada and Germany. Frequent co-authors include Krystyńa Chrzańowska, Hanna Gregorek, Bożenna Dembowska–Bagińska, Martin Digweed, Ewa Małecka‐Tendera, Marek Mandera, Z Kalina, J Wysocki, Dariusz Belowski and Bogusław Okopień. Their work appears in journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

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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