Agata Chobot

93 total papers · 1.3k total citations
57 papers, 836 citations indexed

About

Agata Chobot is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Agata Chobot has authored 57 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Endocrinology, Diabetes and Metabolism, 27 papers in Genetics and 24 papers in Surgery. Recurrent topics in Agata Chobot's work include Diabetes Management and Research (34 papers), Diabetes and associated disorders (24 papers) and Pancreatic function and diabetes (16 papers). Agata Chobot is often cited by papers focused on Diabetes Management and Research (34 papers), Diabetes and associated disorders (24 papers) and Pancreatic function and diabetes (16 papers). Agata Chobot collaborates with scholars based in Poland, Germany and United States. Agata Chobot's co-authors include Przemysława Jarosz‐Chobot, Joanna Polańska, Janet M. Wenzlau, Grażyna Deja, Jarosław Kwiecień, Małgorzata Myśliwiec, Agnieszka Szadkowska, Roque Cardona‐Hernandez, Klemen Dovč and Stephen O’Riordan and has published in prestigious journals such as Diabetes Care, Diabetologia and Nutrients.

In The Last Decade

Agata Chobot

49 papers receiving 816 citations

Author Peers

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

Author						Papers	Cites
Agata Chobot	434	352	343	113	90	57	836
Benjamin Udoka Nwosu	346 0.8×	235 0.7×	321 0.9×	125 1.1×	138 1.5×	53	877
P Beyer	489 1.1×	242 0.7×	303 0.9×	177 1.6×	53 0.6×	42	991
Marco Marigliano	493 1.1×	397 1.1×	379 1.1×	94 0.8×	65 0.7×	65	846
W. J. Kalk	511 1.2×	238 0.7×	156 0.5×	118 1.0×	50 0.6×	56	965
Ciara McDonnell	544 1.3×	296 0.8×	343 1.0×	91 0.8×	135 1.5×	52	940
H. K. �kerblom	447 1.0×	270 0.8×	453 1.3×	126 1.1×	61 0.7×	31	883
Päivi Keskinen	333 0.8×	330 0.9×	460 1.3×	42 0.4×	82 0.9×	32	776
Renata Pomahačová	190 0.4×	305 0.9×	348 1.0×	83 0.7×	122 1.4×	40	820
Melanie Rodacki	410 0.9×	293 0.8×	356 1.0×	94 0.8×	92 1.0×	74	982
D I Johnston	379 0.9×	248 0.7×	209 0.6×	102 0.9×	220 2.4×	38	837

Countries citing papers authored by Agata Chobot

Since Specialization

Citations

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

Fields of papers citing papers by Agata Chobot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agata Chobot

This figure shows the co-authorship network connecting the top 25 collaborators of Agata Chobot. A scholar is included among the top collaborators of Agata Chobot 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 Agata Chobot. Agata Chobot 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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