Stephanie M. Linker

436 citations
15 papers · 278 indexed · h-index 9
Topics
Protein Structure and Dynamics (4 papers)Chemical Synthesis and Analysis (2 papers)Machine Learning in Materials Science (2 papers)

In The Last Decade

Stephanie M. Linker

14 papers receiving 273 citations

Peers

Stephanie M. Linker
Comparison fields: 5 of 92
  • Molecular Biology 191
  • Biomedical Engineering 39
  • Materials Chemistry 30
  • Computational Theory and Mathematics 26
  • Cellular and Molecular Neuroscience 25
Replace Alexey M. Nesterenko with:
Alexey M. Nesterenko Russia
Paul Thaw United Kingdom
Daniel T. Infield United States
Damiano Buratto China
Sarwat Chowdhury United States
Farzad Jalali‐Yazdi United States
Orly Avraham Israel
Mikail D. Levasseur Switzerland
Logan S. Ahlstrom United States
Stephanie M. Linker relative to Alexey M. Nesterenko Russia Alexey M. Nesterenko's profile →
Citations per field
00.5×3.3×
Alexey M. Nesterenko · 1×
Citations per year

Countries citing papers authored by Stephanie M. Linker

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie M. Linker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie M. Linker. 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 Stephanie M. Linker. The network helps show where Stephanie M. Linker may publish in the future.

Co-authorship network of co-authors of Stephanie M. Linker

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie M. Linker. A scholar is included among the top collaborators of Stephanie M. Linker 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 Stephanie M. Linker. Stephanie M. Linker 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 32
2 1
3 12
4 0
5 3
6 3
7 34
8 6
9 9
10 6
11 51
12 13
13 50
14 40
15 18

About Stephanie M. Linker

Stephanie M. Linker is a scholar working on Microbiology, Physical and Theoretical Chemistry and Sensory Systems, having authored 15 papers that have together received 278 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Chemical Synthesis and Analysis (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Molecular Biology (191 citations), Microbiology (12 citations) and Aging (3 citations). Stephanie M. Linker has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Sereina Riniker, Anna S. Kamenik, Gerhard Hummer, Jürgen Köfinger, Uwe Sauer, Karthik Sekar, Jen Nguyen, Roman Stocker, Ramachandra M. Bhaskara and Martin Vögele. Their work appears in journals such as The Journal of Chemical Physics, ACS Nano and Applied and Environmental Microbiology.

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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