Jan Schmid

4.6k citations
70 papers · 3.2k · h-index 33

Impact in

Papers in

Jan Schmid

69 papers receiving 3.1k citations

Peers

Jan Schmid
Comparison fields: 5 of 120
  • Infectious Diseases 1.1k
  • Ecology, Evolution, Behavior and Systematics 1.2k
  • Developmental Biology 115
  • Epidemiology 796
  • Microbiology 139
Replace Alistair C. Darby with:
Alistair C. Darby United Kingdom
Rob Roy Ramey United States
W. B. Gross United States
Ian R. Tizard United States
Peter van Baarlen Netherlands
Juan Manuel Peralta‐Sánchez Spain
Elizabeth S. Didier United States
Kristen Earle United States
Osama B. Mohammed Saudi Arabia
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Citations per field
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Alistair C. Darby · 1×
Citations per year

Countries citing papers authored by Jan Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Jan Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990187
2 2000179
3 1991168
4 2015150
5 1992134
6 2002118
7 1989114
8 1991108
9 2005100
10 200097
11 199394
12 200092
13 199391
14 199780
15 201180
16 200179
17 198877
18 200269
19 200062
20 199962

About Jan Schmid

Jan Schmid is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology, Infectious Diseases, Epidemiology and Food Science, having authored 70 papers that have together received 3.2k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (21 papers), Plant and fungal interactions (20 papers), Fungal Infections and Studies (15 papers), Botanical Research and Chemistry (11 papers), Probiotics and Fermented Foods (9 papers), Plant Toxicity and Pharmacological Properties (7 papers), Plant Pathogens and Fungal Diseases (5 papers) and Fungal Biology and Applications (5 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Ecology, Evolution, Behavior and Systematics (1.2k citations), Developmental Biology (115 citations), Epidemiology (796 citations) and Microbiology (139 citations). Jan Schmid has collaborated with scholars based in New Zealand, United States and Germany. Frequent co-authors include David R. Soll, Michael J. Christensen, Martin J. Spiering, Edward Voss, Geoffrey A. Lane, Franklin M. Harold, John R. Speakman, Jörg U. Ganzhorn, Gerhard Heldmaier and Rudolph P. Galask. Their work appears in journals such as Journal of Clinical Microbiology, Microbiology, PLoS ONE, Die Naturwissenschaften and Journal of Comparative Physiology B.

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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