Karl Schmid

19.9k citations
357 papers · 13.2k indexed · 6 hit papers · h-index 58

Impact in

Papers in

Karl Schmid

343 papers receiving 12.2k citations

Hit Papers

Evolutionary genomics can improve prediction of species’ responses to climate change 2020 · 198 citations
1981957202619802003200400600

Peers

Karl Schmid
Comparison fields: 5 of 189
  • Nuclear and High Energy Physics 1.4k
  • Molecular Biology 5.9k
  • Genetics 1.9k
  • Cell Biology 1.1k
  • Plant Science 2.5k
Replace Geerten W. Vuister with:
Geerten W. Vuister Netherlands
Brian D. Sykes Canada
Rolf Boelens Netherlands
Stephan Grzesiek Switzerland
Gottfried Otting Australia
Akira Ichihara Japan
Paul T. Wingfield United States
Peter Schuck United States
John D. Pfeifer United States
John Cavanagh United Kingdom
Karl Schmid relative to Geerten W. Vuister Netherlands Geerten W. Vuister's profile →
Citations per field
00.5×2.8×
Geerten W. Vuister · 1×
Citations per year

Countries citing papers authored by Karl Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Karl Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20236
3 20230
4 20235
5 20229
6 20221
7 202218
8 202232
9 20228
10 202112
11 202128
12 202021
13 201911
14 201914
15 201732
16 201628
17 201640
18 20070
19 2005175
20
Wala – Graf, Mönch und Rebell
19641

About Karl Schmid

Karl Schmid is a scholar working on Classics, Nuclear and High Energy Physics, Molecular Biology, Cell Biology and Genetics, having authored 357 papers that have together received 13.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (82 papers), Protein purification and stability (29 papers), Laser-Plasma Interactions and Diagnostics (29 papers), Genetic Mapping and Diversity in Plants and Animals (28 papers), Laser-Matter Interactions and Applications (24 papers), Carbohydrate Chemistry and Synthesis (24 papers), Genetic diversity and population structure (20 papers) and Monoclonal and Polyclonal Antibodies Research (19 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.4k citations), Molecular Biology (5.9k citations), Genetics (1.9k citations), Cell Biology (1.1k citations) and Plant Science (2.5k citations). Karl Schmid has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include W. Bencze, L. Veisz, W Bürgi, J. Paul Binette, John A. Mannick, Sidney R. Cooperband, Richard B. Nimberg, Ferenc Krausz, Markus G Stetter and Richard L Stevens. Their work appears in journals such as Journal of Biological Chemistry, Helvetica Chimica Acta, Biochemistry, Nature and Journal of Clinical Investigation.

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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Rankless by CCL
2026