Deborah Schmidt

2.3k citations
9 papers · 321 · 1 hit paper · h-index 5

Impact in

    • Advanced Electron Microscopy Techniques and Applications
  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • Single-cell and spatial transcriptomics 2
    • Metabolism, Diabetes, and Cancer 1
    • Cell Image Analysis Techniques 3

Deborah Schmidt

9 papers receiving 320 citations

Deborah Schmidt's Hit Papers

LABKIT: Labeling and Segmentation Toolkit for Big Image Data 2022 · 156 citations
1560+1+2Years since publication50100150

Peers

Deborah Schmidt
Comparison fields: 5 of 94
  • Structural Biology 22
  • Biophysics 45
  • Aging 8
  • Cell Biology 53
  • Molecular Biology 173
Replace Lijun Shen with:
Lijun Shen China
Mike Friedrich Germany
Hans Zimmermann Germany
Anouk H. G. Wolters Netherlands
David Hörl Germany
Martin Čapek Czechia
Ye Bu China
Kristina N. Schaefer United States
Lunfeng Zhang China
Alyssa Browning United States
Deborah Schmidt relative to Lijun Shen China Lijun Shen's profile →
Citations per field
00.5×3.5×
Lijun Shen · 1×
Citations per year

Countries citing papers authored by Deborah Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
LABKIT: Labeling and Segmentation Toolkit for Big Image Data
Hit paper breakdown →
2022156
2 200567
3 202057
4 200427
5 20104
6 20244
7 20253
8 20132
9 19871

About Deborah Schmidt

Deborah Schmidt is a scholar working on Molecular Biology, Biophysics, Geophysics, Surgery and Structural Biology, having authored 9 papers that have together received 321 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), Single-cell and spatial transcriptomics (2 papers), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Image Processing Techniques and Applications (1 paper), Geophysical and Geoelectrical Methods (1 paper), Usability and User Interface Design (1 paper) and Drilling and Well Engineering (1 paper). The work is most often cited by research in Structural Biology (22 citations), Biophysics (45 citations), Aging (8 citations), Cell Biology (53 citations) and Molecular Biology (173 citations). Deborah Schmidt has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Florian Jug, Christopher Schmied, J.R. Deschamps, Pavel Tomančák, Robert Haase, Matthias Arzt, Tobias Pietzsch, Christopher J. Bean, William G. Kelly and Harald F. Hess. Their work appears in journals such as The Journal of Cell Biology, Geophysical Journal International, Nature Communications, Carcinogenesis and Nature Protocols.

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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