Daniel Chesik

25 total papers · 528 total citations
20 papers, 440 citations indexed

About

Daniel Chesik is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel Chesik has authored 20 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Developmental Neuroscience and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel Chesik's work include Growth Hormone and Insulin-like Growth Factors (14 papers), Neurogenesis and neuroplasticity mechanisms (11 papers) and Axon Guidance and Neuronal Signaling (5 papers). Daniel Chesik is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (14 papers), Neurogenesis and neuroplasticity mechanisms (11 papers) and Axon Guidance and Neuronal Signaling (5 papers). Daniel Chesik collaborates with scholars based in Netherlands, Belgium and Germany. Daniel Chesik's co-authors include Jacques De Keyser, Nadine Wilczak, Gwenny M. Fuhler, Jan Wilschut, Esther Zeinstra, Dick Hoekstra, Reinier Bron, Jop Mostert, Anja Seckinger and Gregorius J. Sips and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Neuroscience.

In The Last Decade

Daniel Chesik

20 papers receiving 435 citations

Author Peers

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

Author						Papers	Cites
Daniel Chesik	132	129	105	94	86	20	440
Jihui Zhang	141 1.1×	92 0.7×	132 1.3×	49 0.5×	44 0.5×	14	467
Clifton G. Fulmer	142 1.1×	38 0.3×	103 1.0×	78 0.8×	53 0.6×	25	386
G. Coppolino	119 0.9×	44 0.3×	65 0.6×	45 0.5×	45 0.5×	18	413
Yanqin Ying	205 1.6×	67 0.5×	68 0.6×	84 0.9×	15 0.2×	33	435
Rhusheet Patel	78 0.6×	24 0.2×	110 1.0×	71 0.8×	135 1.6×	15	367
J Asai	189 1.4×	24 0.2×	57 0.5×	46 0.5×	43 0.5×	16	456
Scott Foster	159 1.2×	18 0.1×	93 0.9×	56 0.6×	70 0.8×	11	440
Matthew J. Anzivino	128 1.0×	21 0.2×	116 1.1×	43 0.5×	86 1.0×	14	443
Koichi Murakami	135 1.0×	25 0.2×	43 0.4×	30 0.3×	60 0.7×	30	494
C. Evrard	276 2.1×	48 0.4×	107 1.0×	118 1.3×	10 0.1×	21	479

Countries citing papers authored by Daniel Chesik

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Chesik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Chesik

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