Daniel Chesik

534 citations
20 papers · 439 indexed · h-index 15
Topics
Growth Hormone and Insulin-like Growth Factors (14 papers)Neurogenesis and neuroplasticity mechanisms (11 papers)Axon Guidance and Neuronal Signaling (5 papers)
Journals
SHILAP Revista de lepidopterologíaStrokeNeuroscience

In The Last Decade

Daniel Chesik

20 papers receiving 434 citations

Peers

Daniel Chesik
Comparison fields: 5 of 71
  • Molecular Biology 132
  • Endocrinology, Diabetes and Metabolism 129
  • Developmental Neuroscience 105
  • Neurology 94
  • Pathology and Forensic Medicine 86
Replace Vera Hummel with:
Vera Hummel Germany
Terra J. Frederick United States
Clifton G. Fulmer United States
Bartosz Bielecki Poland
Koichi Murakami Japan
Óscar G. Vidaurre Spain
Dabing Li China
Diane Studzinski United States
Marina Ziehn United States
Jennifer K. Ness United States
Daniel Chesik relative to Vera Hummel Germany Vera Hummel's profile →
Citations per field
00.5×4.2×
Vera Hummel · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 30
2 21
3 38
4 68
5 24
6 16
7 1
8 45
9 24
10 18
11 18
12 30
13 7
14 10
15 23
16 15
17 17
18 11
19 20
20 3

About Daniel Chesik

Daniel Chesik is a scholar working on Developmental Neuroscience, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 439 indexed citations. Recurring topics across this 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). The work is most often cited by research in Developmental Neuroscience (105 citations), Neurology (94 citations) and Endocrinology, Diabetes and Metabolism (129 citations). Daniel Chesik has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Jacques De Keyser, Nadine Wilczak, Gwenny M. Fuhler, Jan Wilschut, Esther Zeinstra, Dick Hoekstra, Jop Mostert, Reinier Bron, Rajesh Somasundaram and Anja Seckinger. Their work appears in journals such as SHILAP Revista de lepidopterología, Stroke and Neuroscience.

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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