Anna Kwaśnik

489 total citations
8 papers, 402 citations indexed

About

Anna Kwaśnik is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Anna Kwaśnik has authored 8 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Physiology. Recurrent topics in Anna Kwaśnik's work include Adipokines, Inflammation, and Metabolic Diseases (2 papers), Estrogen and related hormone effects (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Anna Kwaśnik is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (2 papers), Estrogen and related hormone effects (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Anna Kwaśnik collaborates with scholars based in Ireland, Poland and Netherlands. Anna Kwaśnik's co-authors include Cliona O’Farrelly, Donal O’Shea, Lydia Lynch, Jeff Connell, Tom Cawood, Niamh Nolan, Justin Geoghegan, P. Aiden McCormick, Stephen R. Pennington and Jerzy Galas and has published in prestigious journals such as PLoS ONE, Annals of the New York Academy of Sciences and Obesity.

In The Last Decade

Anna Kwaśnik

8 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Kwaśnik Ireland	5	193	183	106	80	59	8	402
Dario A. Gutierrez United States	10	303 1.6×	289 1.6×	207 2.0×	76 0.9×	98 1.7×	15	599
Yanina Nersesova United States	2	233 1.2×	141 0.8×	174 1.6×	42 0.5×	77 1.3×	2	402
Danny Luan United States	8	109 0.6×	99 0.5×	57 0.5×	34 0.4×	79 1.3×	24	286
Davor Mendrila Croatia	4	214 1.1×	146 0.8×	216 2.0×	56 0.7×	49 0.8×	5	430
Rohini Mehta United States	11	227 1.2×	60 0.3×	36 0.3×	51 0.6×	157 2.7×	23	455
Katrina Dietsche United States	5	150 0.8×	307 1.7×	35 0.3×	19 0.2×	79 1.3×	5	492
Lorenzo Salgado-Goytia Mexico	12	48 0.2×	66 0.4×	37 0.3×	67 0.8×	69 1.2×	22	341
A. M. Ciccarone Italy	9	149 0.8×	113 0.6×	20 0.2×	39 0.5×	92 1.6×	21	413
C.R. Kennedy United Kingdom	7	169 0.9×	97 0.5×	26 0.2×	72 0.9×	87 1.5×	10	489
Kathrin Türk Germany	9	57 0.3×	79 0.4×	53 0.5×	47 0.6×	129 2.2×	22	384

Countries citing papers authored by Anna Kwaśnik

Since Specialization

Citations

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

Fields of papers citing papers by Anna Kwaśnik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Kwaśnik

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Kwaśnik. A scholar is included among the top collaborators of Anna Kwaśnik 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 Anna Kwaśnik. Anna Kwaśnik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Kwaśnik, Anna, Ágnes Szentpétery, Belinda Hernández, et al.. (2021). Identification and Evaluation of Serum Protein Biomarkers That Differentiate Psoriatic Arthritis From Rheumatoid Arthritis. Arthritis & Rheumatology. 74(1). 81–91. 15 indexed citations

2.

Malik, Uzma, Zehra Hashim, Lisa Staunton, et al.. (2019). Identification of Differentially Expressed Proteins from Smokeless Tobacco Addicted Patients Suffering from Oral Squamous Cell Carcinoma. Pathology & Oncology Research. 26(3). 1489–1497. 6 indexed citations

3.

Kwaśnik, Anna, Alex von Kriegsheim, Andrew J. Irving, & Stephen R. Pennington. (2017). Potential mechanisms of calcium dependent regulation of the mammalian cell cycle revealed by comprehensive unbiased label-free nLC-MS/MS quantitative proteomics. Journal of Proteomics. 170. 151–166. 4 indexed citations

4.

Kwaśnik, Anna, et al.. (2016). Proteomes, Their Compositions and Their Sources. Advances in experimental medicine and biology. 919. 3–21. 7 indexed citations

5.

Connell, Jeff, Lydia Lynch, Tom Cawood, et al.. (2010). The Relationship of Omental and Subcutaneous Adipocyte Size to Metabolic Disease in Severe Obesity. PLoS ONE. 5(4). e9997–e9997. 172 indexed citations

6.

Lynch, Lydia, et al.. (2009). Are Natural Killer Cells Protecting the Metabolically Healthy Obese Patient?. Obesity. 17(3). 601–605. 192 indexed citations

7.

Galas, Jerzy, et al.. (2007). Distribution of androgen receptor and steroid hormone concentrations in ovaries of immature bank voles: Effect of photoperiod. Acta Histochemica. 109(6). 437–445. 3 indexed citations

8.

Galas, Jerzy, Maria Słomczyńska, & Anna Kwaśnik. (2005). Androgen Receptor in the Ovary of Postnatal Bank Vole Females. Annals of the New York Academy of Sciences. 1040(1). 315–319. 3 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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