А. Niedźwiedź

746 total citations
57 papers, 483 citations indexed

About

А. Niedźwiedź is a scholar working on Equine, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, А. Niedźwiedź has authored 57 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Equine, 15 papers in Agronomy and Crop Science and 14 papers in Animal Science and Zoology. Recurrent topics in А. Niedźwiedź's work include Veterinary Equine Medical Research (39 papers), Reproductive Physiology in Livestock (12 papers) and Exercise and Physiological Responses (12 papers). А. Niedźwiedź is often cited by papers focused on Veterinary Equine Medical Research (39 papers), Reproductive Physiology in Livestock (12 papers) and Exercise and Physiological Responses (12 papers). А. Niedźwiedź collaborates with scholars based in Poland, United States and Czechia. А. Niedźwiedź's co-authors include Zbigniew Jaworski, J. Nicpoń, K. Kubiak, Marcin Zawadzki, Paweł Szpot, M Śmiałek, Bartłomiej Tykałowski, Tadeusz Stefaniak, Ned J. Place and Kathleen M. Ivester and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

А. Niedźwiedź

53 papers receiving 475 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
А. Niedźwiedź Poland 13 298 118 96 96 90 57 483
Lais R.R. Costa United States 11 199 0.7× 79 0.7× 73 0.8× 77 0.8× 47 0.5× 38 377
Kathleen M. Ivester United States 12 317 1.1× 108 0.9× 50 0.5× 135 1.4× 157 1.7× 18 431
Anna Mykkänen Finland 13 296 1.0× 66 0.6× 166 1.7× 37 0.4× 98 1.1× 54 527
Susan W. Eberhart United States 15 332 1.1× 88 0.7× 125 1.3× 69 0.7× 80 0.9× 28 557
G F Schusser Germany 13 295 1.0× 144 1.2× 148 1.5× 33 0.3× 63 0.7× 72 581
Isabelle Caudron Belgium 13 298 1.0× 165 1.4× 81 0.8× 36 0.4× 25 0.3× 43 523
L.K. Warren United States 16 254 0.9× 203 1.7× 40 0.4× 79 0.8× 87 1.0× 69 674
André Vrins Canada 20 708 2.4× 279 2.4× 190 2.0× 150 1.6× 163 1.8× 35 985
Sue Lindborg United States 15 520 1.7× 274 2.3× 211 2.2× 33 0.3× 67 0.7× 21 687
C. W. Kohn United States 12 202 0.7× 39 0.3× 80 0.8× 52 0.5× 34 0.4× 21 411

Countries citing papers authored by А. Niedźwiedź

Since Specialization
Citations

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

Fields of papers citing papers by А. Niedźwiedź

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of А. Niedźwiedź

This figure shows the co-authorship network connecting the top 25 collaborators of А. Niedźwiedź. A scholar is included among the top collaborators of А. Niedźwiedź 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 А. Niedźwiedź. А. Niedźwiedź 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
1.
Szumny, Antoni, et al.. (2025). Molecular Mechanisms of the Endocannabinoid System with a Focus on Reproductive Physiology and the Cannabinoid Impact on Fertility. International Journal of Molecular Sciences. 26(15). 7095–7095.
2.
Pawlak, Aleksandra, et al.. (2022). The cannabinoid receptors system in horses: Tissue distribution and cellular identification in skin. Journal of Veterinary Internal Medicine. 36(4). 1508–1524. 11 indexed citations
3.
Madej, Jan P., et al.. (2022). The Differences in Histoarchitecture of Hoof Lamellae between Obese and Lean Draft Horses. Animals. 12(14). 1774–1774.
4.
Bajzert, Joanna, et al.. (2021). The Dynamics of Circulating Immune Complexes in Horses with Severe Equine Asthma. Animals. 11(4). 1001–1001. 7 indexed citations
5.
Samson‐Himmelstjerna, Georg von, Sabrina Ramünke, Clara Goday, et al.. (2021). Very low intraspecific sequence variation in selected nuclear and mitochondrial Parascaris univalens genes. Infection Genetics and Evolution. 95. 105035–105035. 6 indexed citations
6.
Chełmecka, Elżbieta, Barbara Bażanów, Ewa Romuk, et al.. (2020). Effects of Advanced Age, Pituitary Pars Intermedia Dysfunction and Insulin Dysregulation on Serum Antioxidant Markers in Horses. Antioxidants. 9(5). 444–444. 4 indexed citations
7.
Niedźwiedź, А., et al.. (2019). The effect of single pretreatment with salbutamol on recovery of bronchoalveolar lavage fluid in horses with suspected or confirmed severe equine asthma. Journal of Veterinary Internal Medicine. 33(2). 976–980. 3 indexed citations
8.
Niedźwiedź, А., et al.. (2019). Changes in the SIDActual and SID Effective Values in the Course of Respiratory Acidosis in Horses With Symptomatic Severe Equine Asthma—An Experimental Study. Journal of Equine Veterinary Science. 78. 107–111. 1 indexed citations
9.
Noszczyk-Nowak, Agnieszka, et al.. (2019). Two-dimensional echocardiographic measurements of the right coronary artery in healthy horses – a pilot study. BMC Veterinary Research. 15(1). 43–43. 2 indexed citations
10.
Niedźwiedź, А., et al.. (2019). An assessment of the utility and repeatability of the renal resistive index in horses. PLoS ONE. 14(12). e0226941–e0226941. 4 indexed citations
11.
Kubiak, K., et al.. (2018). Morphology and elemental analysis of free range and stabled Polish Konik horses hair using Energy-dispersive X-ray spectroscopy (EDS). Polish Journal of Veterinary Sciences. 21(1). 65–72. 1 indexed citations
12.
Niedźwiedź, А., et al.. (2018). Effect of antigen challenge on dynamics of CD62P and CD41/61 expression on platelets in horses with recurrent airway obstruction (RAO). Veterinary Immunology and Immunopathology. 202. 172–180. 4 indexed citations
13.
Niedźwiedź, А., et al.. (2017). Role of free radicals in oxidative stress – basic knowledge for clinician. 2 indexed citations
14.
Nowak, Marcin, et al.. (2017). Progressive lymphocytic-plasmocytic enteritis in a horse. Pferdeheilkunde Equine Medicine. 33(5). 452–456. 2 indexed citations
15.
Niedźwiedź, А. & Zbigniew Jaworski. (2014). Oxidant-Antioxidant Status in the Blood of Horses with Symptomatic Recurrent Airway Obstruction (RAO). Journal of Veterinary Internal Medicine. 28(6). 1845–1852. 14 indexed citations
16.
Niedźwiedź, А., et al.. (2011). Stress level in horses during transport as a variable in Krefft's function.. Medycyna Weterynaryjna. 67(4). 270–274. 2 indexed citations
17.
Niedźwiedź, А., et al.. (2008). D-dimer as an indicator of intravascular clotting in horses and dogs.. Medycyna Weterynaryjna. 64(3). 272–275. 1 indexed citations
18.
Niedźwiedź, А., et al.. (2008). Prevalence of gastric ulcers in cold-blooded horses in Poland.. 19(4). 15–19. 1 indexed citations
19.
Zawadzki, Marcin, Krystyna Pawlas, А. Niedźwiedź, et al.. (2008). Evaluation of oxidative stress from manganum intoxication on rats' brains.. Medycyna Weterynaryjna. 64(6). 836–839. 1 indexed citations
20.
Niedźwiedź, А., et al.. (2006). Pathogenesis, diagnosis and treatment of Recurrent Equine Airway Obstruction.. Medycyna Weterynaryjna. 62(5). 512–515. 5 indexed citations

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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