Katarzyna Kosicka

24 papers receiving 373 citations

Peers

Katarzyna Kosicka
Comparison fields: 5 of 88
  • Obstetrics and Gynecology 47
  • Endocrinology, Diabetes and Metabolism 52
  • Pediatrics, Perinatology and Child Health 47
  • Analytical Chemistry 24
  • Behavioral Neuroscience 8
Replace Anna Siemiątkowska with:
Anna Siemiątkowska Poland
Kerryn L. Simpson New Zealand
Valentina M. Fokina United States
Sati C. Chattoraj United States
B. Fatemeh Nobakht M. Gh Iran
Hyewon Chung South Korea
Naveen K. Neradugomma United States
Saul L. Cohen United States
Sarah A. Baxter United States
Katarzyna Kosicka relative to Anna Siemiątkowska Poland Anna Siemiątkowska's profile →
Citations per field
00.5×1.6×
Anna Siemiątkowska · 1×
Citations per year

Countries citing papers authored by Katarzyna Kosicka

Since Specialization
Citations

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

Fields of papers citing papers by Katarzyna Kosicka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Katarzyna Kosicka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Katarzyna Kosicka Line = papers co-authored together Katarzyna Kosicka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018122
2 201933
3 201526
4 201826
5 201719
6 201917
7 201717
8 200916
9 201612
10 201311
11 201810
12 202110
13 202310
14 20199
15 20189
16 20148
17 20135
18 20184
19 20254
20 20232

About Katarzyna Kosicka

Katarzyna Kosicka is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Obstetrics and Gynecology, Immunology and Infectious Diseases, having authored 29 papers that have together received 377 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (9 papers), Pregnancy and preeclampsia studies (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Adrenal Hormones and Disorders (3 papers), Birth, Development, and Health (3 papers), Inflammation biomarkers and pathways (2 papers), Pain Management and Opioid Use (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Obstetrics and Gynecology (47 citations), Endocrinology, Diabetes and Metabolism (52 citations), Pediatrics, Perinatology and Child Health (47 citations), Analytical Chemistry (24 citations) and Behavioral Neuroscience (8 citations). Katarzyna Kosicka has collaborated with scholars based in Poland, United States and New Zealand. Frequent co-authors include Anna Siemiątkowska, Franciszek K. Główka, Marta Karaźniewicz‐Łada, Piotr J. Rudzki, Michał Kaza, Grzegorz H. Bręborowicz, Aleksandra Majchrzak‐Celińska, Leonid Kagan, Tanya M. Wildes and Wanda Baer‐Dubowska. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, The Journal of Maternal-Fetal & Neonatal Medicine, OncoTargets and Therapy, Reproductive Sciences and Molecules.

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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