Daniel Chesik

20 papers receiving 434 citations

Peers

Daniel Chesik
Comparison fields: 5 of 71
  • Developmental Neuroscience 105
  • Neurology 94
  • Endocrinology, Diabetes and Metabolism 129
  • Pathology and Forensic Medicine 86
  • Cellular and Molecular Neuroscience 83
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-authors

The 22 scholars most cited alongside Daniel Chesik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Chesik Line = papers co-authored together Daniel Chesik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200868
2 200745
3 200938
4 201030
5 200630
6 200724
7 200824
8 200523
9 201021
10 200420
11 200618
12 200618
13 200417
14 200816
15 200415
16 200411
17 200610
18 20067
19 20023
20 20081

About Daniel Chesik

Daniel Chesik is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology and Pathology and Forensic Medicine, 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), Axon Guidance and Neuronal Signaling (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Immune Response and Inflammation (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Multiple Sclerosis Research Studies (2 papers) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Developmental Neuroscience (105 citations), Neurology (94 citations), Endocrinology, Diabetes and Metabolism (129 citations), Pathology and Forensic Medicine (86 citations) and Cellular and Molecular Neuroscience (83 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, Reinier Bron, Jop Mostert, Nicole M. Kühl and Mirjam Baanstra. Their work appears in journals such as Journal of Neurochemistry, International review of neurobiology, International Journal of Medical Sciences, Neuroscience and European Journal of 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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