D Biesold

1.2k citations
67 papers · 1k · h-index 15

Impact in

Papers in

D Biesold

64 papers receiving 945 citations

Peers

D Biesold
Comparison fields: 5 of 56
  • Developmental Neuroscience 185
  • Cellular and Molecular Neuroscience 363
  • Neurology 105
  • Cognitive Neuroscience 181
  • Endocrine and Autonomic Systems 38
Replace Ambrish J. Patel with:
Ambrish J. Patel United Kingdom
Marshall R Walton New Zealand
Emi Kumamaru Japan
Gérard Rondouin France
Peter R. Patrylo United States
Teresa Jover United States
Yun‐Sik Choi South Korea
Mattie Hardy United States
Barbara Oderfeld-Nowak Poland
Joanna M. Williams New Zealand
D Biesold relative to Ambrish J. Patel United Kingdom Ambrish J. Patel's profile →
Citations per field
00.5×1.5×1.9×
Ambrish J. Patel · 1×
Citations per year

Countries citing papers authored by D Biesold

Since Specialization
Citations

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

Fields of papers citing papers by D Biesold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D Biesold, 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 D Biesold Line = papers co-authored together D Biesold links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989196
2 1976145
3 199157
4 198948
5 199043
6 198138
7 196734
8 198232
9 196828
10
Lectin binding sites and anionic components related to differentiation in the prenatal rat cerebral cortex.
198522
11 197421
12 197619
13 196316
14 199016
15 197215
16 197714
17 198813
18 195812
19 197112
20 198212

About D Biesold

D Biesold is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Nutrition and Dietetics, Cognitive Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 67 papers that have together received 1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Neurogenesis and neuroplasticity mechanisms (11 papers), Trace Elements in Health (8 papers), Mitochondrial Function and Pathology (7 papers), Visual perception and processing mechanisms (6 papers), Diet, Metabolism, and Disease (6 papers), Metabolism, Diabetes, and Cancer (5 papers) and Glycogen Storage Diseases and Myoclonus (4 papers). The work is most often cited by research in Developmental Neuroscience (185 citations), Cellular and Molecular Neuroscience (363 citations), Neurology (105 citations), Cognitive Neuroscience (181 citations) and Endocrine and Autonomic Systems (38 citations). D Biesold has collaborated with scholars based in Germany, Czechia and Japan. Frequent co-authors include Gert Brückner, Osamu Inanami, Akio Sato, Vladislav Mareš, Volker Bigl, Reinhard Schliebs, Gert Br�ckner, Erich Strack, Harry H. Webster and Andrzej Trzebski. Their work appears in journals such as Journal of Neurochemistry, Acta Histochemica, Brain Research, The Journal of Comparative Neurology and Neurochemical Research.

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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