Judith Klein‐Seetharaman

14.1k citations
174 papers · 6.7k indexed · 2 hit papers · h-index 46
Topics
Photoreceptor and optogenetics research (43 papers)Receptor Mechanisms and Signaling (43 papers)Machine Learning in Bioinformatics (31 papers)

In The Last Decade

Judith Klein‐Seetharaman

168 papers receiving 6.6k citations

Hit Papers

Long-Range Interactions Within a Nonnative Protein200220262010201820022024100200300400500

Peers

Judith Klein‐Seetharaman
Comparison fields: 5 of 170
  • Molecular Biology 4.6k
  • Materials Chemistry 1.1k
  • Cellular and Molecular Neuroscience 1.1k
  • Biomedical Engineering 694
  • Immunology 486
Replace Taehoon Kim with:
Taehoon Kim South Korea
Yifei Qi United States
Xun Li China
Frédéric Rousseau Belgium
Elmar Krieger Netherlands
Vidyashankara Iyer United States
Chuangye Yan China
Tanja Kortemme United States
Feng Ding United States
Rita Casadio Italy
Judith Klein‐Seetharaman relative to Taehoon Kim South Korea Taehoon Kim's profile →
Citations per field
00.5×1.5×1.9×
Taehoon Kim · 1×
Citations per year

Countries citing papers authored by Judith Klein‐Seetharaman

Since Specialization
Citations

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

Fields of papers citing papers by Judith Klein‐Seetharaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judith Klein‐Seetharaman. 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 Judith Klein‐Seetharaman. The network helps show where Judith Klein‐Seetharaman may publish in the future.

Co-authorship network of co-authors of Judith Klein‐Seetharaman

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 9
4 40
5 6
6 4
7 6
8 96
9 111
10 55
11 26
12 42
13 12
14 128
15 1
16 64
17 24
18 7
19 85
20 25

About Judith Klein‐Seetharaman

Judith Klein‐Seetharaman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biophysics, having authored 174 papers that have together received 6.7k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (43 papers), Receptor Mechanisms and Signaling (43 papers) and Machine Learning in Bioinformatics (31 papers). The work is most often cited by research in Molecular Biology (4.6k citations), Cellular and Molecular Neuroscience (1.1k citations) and Biophysics (182 citations). Judith Klein‐Seetharaman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Yanjun Qi, Valerian E. Kagan, Naveena Yanamala, Ziv Bar‐Joseph, Harald Schwalbe, Jaime G. Carbonell, Dariush Mohammadyani, Alexandr A. Kapralov, Gregg P. Kotchey and Alexander Star. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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