Beth‐Anne Sieber

2.4k citations
16 papers · 1.6k indexed · 1 hit paper · h-index 14
Topics
Parkinson's Disease Mechanisms and Treatments (5 papers)Nerve injury and regeneration (5 papers)Neurogenesis and neuroplasticity mechanisms (5 papers)
Partner nations
United StatesSwedenSpain

In The Last Decade

Beth‐Anne Sieber

16 papers receiving 1.6k citations

Hit Papers

Functional receptor for GDNF encoded by the c-ret proto-o...19962026200620161996200400600

Peers

Beth‐Anne Sieber
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 1.1k
  • Developmental Neuroscience 554
  • Molecular Biology 529
  • Neurology 432
  • Neurology 157
Replace Tajrena Alexi with:
Tajrena Alexi United States
Kevin C. Kanning United States
J. Lynn Rutkowski United States
P. Elyse Schauwecker United States
Klaus D. Beck United States
Tinmarla F. Oo United States
Kanehiro Hayashi Japan
Zachary C. Baquet United States
Sebastian Thams Sweden
Esperanza R. Matarredona Spain
Beth‐Anne Sieber relative to Tajrena Alexi United States Tajrena Alexi's profile →
Citations per field
00.5×2.8×
Tajrena Alexi · 1×
Citations per year

Countries citing papers authored by Beth‐Anne Sieber

Since Specialization
Citations

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

Fields of papers citing papers by Beth‐Anne Sieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth‐Anne Sieber. 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 Beth‐Anne Sieber. The network helps show where Beth‐Anne Sieber may publish in the future.

Co-authorship network of co-authors of Beth‐Anne Sieber

This figure shows the co-authorship network connecting the top 25 collaborators of Beth‐Anne Sieber. A scholar is included among the top collaborators of Beth‐Anne Sieber 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 Beth‐Anne Sieber. Beth‐Anne Sieber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 9
2 26
3 31
4 45
5
Functional receptor for GDNF encoded by the c-ret proto-oncogenebreakdown →
664
6 40
7 51
8 103
9 235
10 88
11 33
12 98
13 15
14 2
15 116
16 37

About Beth‐Anne Sieber

Beth‐Anne Sieber is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Nerve injury and regeneration (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). The work is most often cited by research in Developmental Neuroscience (554 citations), Cellular and Molecular Neuroscience (1.1k citations) and Neurology (432 citations). Beth‐Anne Sieber has collaborated with scholars based in United States, Sweden and Spain. Frequent co-authors include Cheryl F. Dreyfus, Patricia K. Sonsalla, Richard E. Heikkila, Carlos F. Ibáñez, Andrew Giovanni, Ernest Arenas, Mike Fainzilber, Ann-Sofie Nilsson, Hannu Sariola and Edgar F. Salazar‐Grueso. Their work appears in journals such as Nature, Gastroenterology and Neurology.

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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