G Siawrys

42 total papers · 583 total citations
37 papers, 545 citations indexed

About

G Siawrys is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, G Siawrys has authored 37 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrine and Autonomic Systems, 13 papers in Cellular and Molecular Neuroscience and 12 papers in Physiology. Recurrent topics in G Siawrys's work include Regulation of Appetite and Obesity (16 papers), Neuropeptides and Animal Physiology (13 papers) and Adipose Tissue and Metabolism (10 papers). G Siawrys is often cited by papers focused on Regulation of Appetite and Obesity (16 papers), Neuropeptides and Animal Physiology (13 papers) and Adipose Tissue and Metabolism (10 papers). G Siawrys collaborates with scholars based in Poland, United States and Philippines. G Siawrys's co-authors include J Przała, Tadeusz Kamiński, Nina Smolińska, S Okrasa, Iwona Bogacka, Alina Gajewska, Kazimierz Kochman, Mariusz T. Skowroński, Bartłomiej E. Kraziński and Jarosław Staszkiewicz and has published in prestigious journals such as Theriogenology, Brain Research Bulletin and Animal Reproduction Science.

In The Last Decade

G Siawrys

36 papers receiving 540 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
G Siawrys	188	125	125	124	114	37	545
Barbara Steele	203 1.1×	100 0.8×	104 0.8×	48 0.4×	103 0.9×	23	519
Alina Gajewska	129 0.7×	58 0.5×	73 0.6×	45 0.4×	184 1.6×	60	504
Zhihai Lei	147 0.8×	42 0.3×	76 0.6×	49 0.4×	219 1.9×	36	569
Anna Wójcik-Gładysz	217 1.2×	44 0.4×	96 0.8×	40 0.3×	205 1.8×	59	460
W. Sienkiewicz	87 0.5×	40 0.3×	92 0.7×	49 0.4×	90 0.8×	75	616
Linna Xia‐Zhang	295 1.6×	59 0.5×	121 1.0×	59 0.5×	215 1.9×	17	602
Joëlle Dupont	106 0.6×	50 0.4×	145 1.2×	67 0.5×	200 1.8×	20	606
Katarzyna Kisielewska	76 0.4×	95 0.8×	94 0.8×	119 1.0×	54 0.5×	38	465
Edyta Rytelewska	115 0.6×	130 1.0×	105 0.8×	147 1.2×	81 0.7×	37	464
Maria Billert	155 0.8×	19 0.2×	186 1.5×	66 0.5×	83 0.7×	30	492

Countries citing papers authored by G Siawrys

Since Specialization

Citations

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

Fields of papers citing papers by G Siawrys

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Siawrys

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

All Works

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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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