Anna Markowska

141 papers receiving 2.1k citations

Peers

Anna Markowska
Comparison fields: 5 of 109
  • Behavioral Neuroscience 155
  • Endocrine and Autonomic Systems 166
  • Reproductive Medicine 179
  • Immunology 444
  • Endocrinology, Diabetes and Metabolism 265
Replace Jun Takasaki with:
Jun Takasaki Japan
Jin Zhou China
Yukio Horikawa Japan
Anna A. Brożyna Poland
Georges Guellaën France
Maria Grazia Cattaneo Italy
Yu Wan China
Scott Greenfeder United States
Yemin Wang China
Takahide Ohishi Japan
Anna Markowska relative to Jun Takasaki Japan Jun Takasaki's profile →
Citations per field
00.5×8.2×
Jun Takasaki · 1×
Citations per year

Countries citing papers authored by Anna Markowska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Markowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anna Markowska, 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 Anna Markowska Line = papers co-authored together Anna Markowska links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010266
2 2011187
3 201985
4 200376
5 201973
6 201769
7 201456
8 199754
9 200044
10 199444
11 200038
12 200033
13 199732
14 199432
15 201331
16 199728
17 201527
18 202026
19 199426
20 202025

About Anna Markowska

Anna Markowska is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Oncology and Reproductive Medicine, having authored 147 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (23 papers), Neuropeptides and Animal Physiology (20 papers), Stress Responses and Cortisol (14 papers), Organophosphorus compounds synthesis (11 papers), Receptor Mechanisms and Signaling (11 papers), Regulation of Appetite and Obesity (10 papers), Ovarian cancer diagnosis and treatment (8 papers) and Endometriosis Research and Treatment (8 papers). The work is most often cited by research in Behavioral Neuroscience (155 citations), Endocrine and Autonomic Systems (166 citations), Reproductive Medicine (179 citations), Immunology (444 citations) and Endocrinology, Diabetes and Metabolism (265 citations). Anna Markowska has collaborated with scholars based in Poland, Italy and United States. Frequent co-authors include Noorjahan Panjwani, Janina Markowska, Adam Huczyński, Fu‐Tong Liu, Gastone G. Nussdorfer, Michał Antoszczak, Ludwik K. Malendowicz, L K Malendowicz, Giuseppina Mazzocchi and Stefan Sajdak. Their work appears in journals such as Nutrients, The Journal of Steroid Biochemistry and Molecular Biology, Neuropeptides, Advances in Clinical and Experimental Medicine and Cancers.

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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