Ingrid Wallat

471 citations
14 papers · 344 · h-index 11

Impact in

Papers in

    • Photoreceptor and optogenetics research 13
    • Neuroscience and Neuropharmacology Research 10
    • Neuroscience and Neural Engineering 6
    • Lipid Membrane Structure and Behavior 3
    • Advanced biosensing and bioanalysis techniques 1

Ingrid Wallat

14 papers receiving 337 citations

Peers

Ingrid Wallat
Comparison fields: 5 of 38
  • Cellular and Molecular Neuroscience 257
  • Spectroscopy 115
  • Molecular Biology 219
  • Biophysics 11
  • Cognitive Neuroscience 23
Replace Gregory Choi with:
Gregory Choi United States
Andrey V. Struts United States
N. Pfleger Germany
Olaf Bousché United States
Roy E. Jonas United States
Mirka‐Kristin Verhoefen Germany
D. Emeis Germany
P. Scherrer Switzerland
Jason R. Hillebrecht United States
Swetlana Martell Germany
Ingrid Wallat relative to Gregory Choi United States Gregory Choi's profile →
Citations per field
00.5×3.3×
Gregory Choi · 1×
Citations per year

Countries citing papers authored by Ingrid Wallat

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Wallat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Ingrid Wallat, 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 Ingrid Wallat Line = papers co-authored together Ingrid Wallat links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 198854
2 199452
3 198543
4 200737
5 199829
6 198927
7 198624
8 200818
9 199917
10 198613
11 198811
12 20109
13 20066
14 19954

About Ingrid Wallat

Ingrid Wallat is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Spectroscopy, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 14 papers that have together received 344 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (13 papers), Neuroscience and Neuropharmacology Research (10 papers), Neuroscience and Neural Engineering (6 papers), Lipid Membrane Structure and Behavior (3 papers), Advanced biosensing and bioanalysis techniques (1 paper), Molecular spectroscopy and chirality (1 paper), Molecular Junctions and Nanostructures (1 paper) and Mass Spectrometry Techniques and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (257 citations), Spectroscopy (115 citations), Molecular Biology (219 citations), Biophysics (11 citations) and Cognitive Neuroscience (23 citations). Ingrid Wallat has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Maarten P. Heyn, Anthony Watts, Anne S. Ulrich, Harald Otto, Michael F. Brown, Koji Nakanishi, Constantin Job, Naomi Sakai, Andrey V. Struts and Suhkmann Kim. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Biochimica et Biophysica Acta (BBA) - Biomembranes, The Journal of Physical Chemistry A and Biophysical Chemistry.

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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