Fred Sieling

569 citations
15 papers · 420 indexed · h-index 7
Topics
Neural dynamics and brain function (8 papers)Neurobiology and Insect Physiology Research (8 papers)Nonlinear Dynamics and Pattern Formation (4 papers)

In The Last Decade

Fred Sieling

13 papers receiving 408 citations

Peers

Fred Sieling
Comparison fields: 5 of 72
  • Biomedical Engineering 244
  • Materials Chemistry 151
  • Cellular and Molecular Neuroscience 108
  • Molecular Biology 105
  • Biotechnology 67
Replace Indira Chatterjee with:
Indira Chatterjee United States
Enrico D’Emilia Italy
Kiran Bhattacharyya United States
Xiuyuan Wang China
Axel T. Esser United States
Kilian J. Müller Germany
Borja Mercadal Spain
Jiawei Shao China
Elisa E. Konofagou United States
Yi‐Ru Chen Taiwan
Fred Sieling relative to Indira Chatterjee United States Indira Chatterjee's profile →
Citations per field
00.5×7.2×
Indira Chatterjee · 1×
Citations per year

Countries citing papers authored by Fred Sieling

Since Specialization
Citations

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

Fields of papers citing papers by Fred Sieling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Sieling

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 15
2 24
3 6
4 0
5 6
6 1
7 2
8 2
9 4
10 23
11 2
12 0
13 11
14 274
15 50

About Fred Sieling

Fred Sieling is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biotechnology, having authored 15 papers that have together received 420 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Neurobiology and Insect Physiology Research (8 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). The work is most often cited by research in Biotechnology (67 citations), Cellular and Molecular Neuroscience (108 citations) and Biomedical Engineering (244 citations). Fred Sieling has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Jianmin Cui, Cheri X. Deng, Hua Pan, Astrid A. Prinz, Carmen C. Canavier, Zhongming Ma, Frank T. Horrigan, Romuald Nargeot, Guangping Zhang and Gayathri Krishnamoorthy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Current Biology and Journal of Neurophysiology.

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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