Gerald Kada

39 papers receiving 2.6k citations

Gerald Kada's Hit Papers

Quick measurement of protein sulfhydryls with Ellman's reagent and with 4,4′-dithiodipyridine 2002 · 500 citations
5000+8+16Years since publication100200300400500

Peers

Gerald Kada
Comparison fields: 5 of 132
  • Structural Biology 82
  • Biophysics 265
  • Cell Biology 472
  • Atomic and Molecular Physics, and Optics 835
  • Molecular Biology 1.3k
Replace Daniel Lévy with:
Daniel Lévy France
Jean‐Louis Rigaud France
Christian Le Grimellec France
Junguang Jiang China
Bruno Samorı̀ Italy
Nikos S. Hatzakis Denmark
Kerstin G. Blank Germany
David J. Brockwell United Kingdom
Jana Humpolíčková Czechia
Grzegorz Piszczek United States
Gerald Kada relative to Daniel Lévy France Daniel Lévy's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gerald Kada

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Kada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quick measurement of protein sulfhydryls with Ellman's reagent and with 4,4′-dithiodipyridine
Hit paper breakdown →
2002500
2 2000461
3 2000234
4 2000210
5 1999129
6 200593
7 200588
8 200687
9 200082
10 199972
11 200872
12 200872
13 200058
14 200250
15 200649
16 199848
17 200345
18 200732
19 201031
20 200627

About Gerald Kada

Gerald Kada is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Biomedical Engineering, Molecular Biology and Cell Biology, having authored 39 papers that have together received 2.6k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (27 papers), Molecular Junctions and Nanostructures (15 papers), Mechanical and Optical Resonators (12 papers), Biotin and Related Studies (8 papers), Lipid Membrane Structure and Behavior (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Click Chemistry and Applications (4 papers) and Near-Field Optical Microscopy (4 papers). The work is most often cited by research in Structural Biology (82 citations), Biophysics (265 citations), Cell Biology (472 citations), Atomic and Molecular Physics, and Optics (835 citations) and Molecular Biology (1.3k citations). Gerald Kada has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Hermann J. Gruber, Christian K. Riener, Hansgeorg Schindler, Vassili Ph. Pastushenko, Peter Hinterdorfer, Ferry Kienberger, Gerhard J. Schütz, Heinz Falk, Christoph Hahn and Werner Ahrer. Their work appears in journals such as Ultramicroscopy, Biochimica et Biophysica Acta (BBA) - General Subjects, Bioconjugate Chemistry, ChemPhysChem and ChemBioChem.

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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