Iris Schmitt

21 papers receiving 1.4k citations

Peers

Iris Schmitt
Comparison fields: 5 of 86
  • Agronomy and Crop Science 323
  • Immunology 558
  • Ecology, Evolution, Behavior and Systematics 322
  • Physiology 358
  • Dermatology 87
Replace Takayuki Ohshima with:
Takayuki Ohshima Japan
Elizabeth S. Mingioli United States
Takeyuki Kohno Japan
Xiaogang Cheng United States
Maria A. Lebedeva Russia
S P Staal United States
John F. DeLamarter Switzerland
Kazumi Umeki Japan
Carmela DeLuca Canada
Shunsuke Migita Japan
Iris Schmitt relative to Takayuki Ohshima Japan Takayuki Ohshima's profile →
Citations per field
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Takayuki Ohshima · 1×
Citations per year

Countries citing papers authored by Iris Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Iris Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010382
2 2001188
3 1998165
4 1998125
5 2002114
6 199580
7 199877
8 199543
9 199736
10 200034
11 200133
12 199530
13 199730
14 199419
15 202015
16 200912
17 19979
18 19967
19 20216
20 20224

About Iris Schmitt

Iris Schmitt is a scholar working on Immunology, Epidemiology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and Molecular Biology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Vector-Borne Animal Diseases (5 papers), T-cell and Retrovirus Studies (5 papers), Animal Disease Management and Epidemiology (4 papers), Fungal Infections and Studies (3 papers), Immune Cell Function and Interaction (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Plant chemical constituents analysis (2 papers) and Histiocytic Disorders and Treatments (2 papers). The work is most often cited by research in Agronomy and Crop Science (323 citations), Immunology (558 citations), Ecology, Evolution, Behavior and Systematics (322 citations), Physiology (358 citations) and Dermatology (87 citations). Iris Schmitt has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Ralph Grassmann, Kuan‐Teh Jeang, Francis P. Gasparro, Sergio Chimenti, Martin Hrabě de Angelis, Stephan Herzig, Alexandros Vegiopoulos, Jan Rozman, Carola W. Meyer and Evgeny Chichelnitskiy. Their work appears in journals such as Journal of Photochemistry and Photobiology B Biology, Journal of Biological Chemistry, American Journal of Dermatopathology, Molecular Medicine and Molecular and Cellular Biology.

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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