Kim Schuske

2.4k citations
16 papers · 1.8k indexed · 1 hit paper · h-index 15

Kim Schuske

16 papers receiving 1.8k citations

Hit Papers

Identification and characterization of the vesicular GABA...7061997202620062016200400600

Peers

Kim Schuske
Comparison fields: 5 of 96
  • Aging 580
  • Endocrine and Autonomic Systems 277
  • Cellular and Molecular Neuroscience 725
  • Cell Biology 517
  • Molecular Biology 1.0k
Replace Christopher Rongo with:
Christopher Rongo United States
Minoru Saitoe Japan
Marc Hammarlund United States
Steven L. McIntire United States
Jeff W. Barclay United Kingdom
Janet S. Duerr United States
Savraj Grewal Canada
Serge Birman France
David E. Featherstone United States
Ken Takamatsu Japan
Kim Schuske relative to Christopher Rongo United States Christopher Rongo's profile →
Citations per field
00.5×1.5×
Christopher Rongo · 1×
Citations per year

Countries citing papers authored by Kim Schuske

Since Specialization
Citations

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

Fields of papers citing papers by Kim Schuske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 201462
2 201153
3 200993
4 200881
5 200842
6 200741
7 200731
8 200775
9 2004137
10 200119
11 2001122
12
Identification and characterization of the vesicular GABA transporterbreakdown →
1997706
13 1995266
14 199429
15 19934
16 199315

About Kim Schuske

Kim Schuske is a scholar working on Aging, Cell Biology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (9 papers), Cellular transport and secretion (7 papers), Photoreceptor and optogenetics research (4 papers), Silk-based biomaterials and applications (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Neurobiology and Insect Physiology Research (2 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Aging (580 citations), Endocrine and Autonomic Systems (277 citations) and Cellular and Molecular Neuroscience (725 citations). Kim Schuske has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Erik M. Jørgensen, Richard J. Reimer, Robert H. Edwards, Steven L. McIntire, Yishi Jin, H. Robert Horvitz, Shigeki Watanabe, Asim A. Beg, Erika Hartwieg and Michael L. Nonet. Their work appears in journals such as Nature, Neuron and The Journal of Cell Biology.

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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