Helen H. Yang

1.9k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Helen H. Yang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Helen H. Yang has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 3 papers in Biomedical Engineering. Recurrent topics in Helen H. Yang's work include Neurobiology and Insect Physiology Research (6 papers), Retinal Development and Disorders (4 papers) and Neuroscience and Neural Engineering (4 papers). Helen H. Yang is often cited by papers focused on Neurobiology and Insect Physiology Research (6 papers), Retinal Development and Disorders (4 papers) and Neuroscience and Neural Engineering (4 papers). Helen H. Yang collaborates with scholars based in United States, United Kingdom and Canada. Helen H. Yang's co-authors include François St-Pierre, H. Craig Heller, Kazunari Miyamichi, Casey J. Guenthner, Liqun Luo, Thomas R. Clandinin, Charles A. Eckert, Michael Z. Lin, Xulu Sun and Xiaozhe Ding and has published in prestigious journals such as Cell, Neuron and Journal of Neuroscience.

In The Last Decade

Helen H. Yang

13 papers receiving 1.1k citations

Hit Papers

Permanent Genetic Access to Transiently Active Neurons vi... 2013 2026 2017 2021 2013 100 200 300 400

Peers

Helen H. Yang
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 723
  • Cognitive Neuroscience 414
  • Molecular Biology 337
  • Biophysics 145
  • Biomedical Engineering 134
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Citations per field, relative to Helen H. Yang
Helen H. Yang · 1×
Citations per year, relative to Helen H. Yang
Helen H. Yang · 1×

Countries citing papers authored by Helen H. Yang

Since Specialization
Citations

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

Fields of papers citing papers by Helen H. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen H. Yang. 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 Helen H. Yang. The network helps show where Helen H. Yang may publish in the future.

Co-authorship network of co-authors of Helen H. Yang

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 1
2 13
3 4
4 14
5 35
6 40
7 43
8 131
9 117
10 178
11 6
12
Permanent Genetic Access to Transiently Active Neurons via TRAP: Targeted Recombination in Active Populations breakdown →
461
13 101

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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