R. Quadt

799 citations
16 papers · 667 · h-index 13

Impact in

    • Plant and Fungal Interactions Research
    • Plant Virus Research Studies
    • Plant Disease Resistance and Genetics

Papers in

    • Plant Virus Research Studies 11
    • Plant Disease Resistance and Genetics 3
    • Bacteriophages and microbial interactions 5

R. Quadt

16 papers receiving 648 citations

Peers

R. Quadt
Comparison fields: 5 of 31
  • Endocrinology 217
  • Plant Science 502
  • Hematology 93
  • Biotechnology 63
  • Insect Science 80
Replace J W van Lent with:
J W van Lent Netherlands
Willem G. Langenberg United States
Yvan Chapdelaine Canada
Ivanov Pa Russia
Dina Alzhanova United States
P. Piazzolla Italy
C.H. Hsu United States
Prabha L. Atreya United States
Kottampatty S. Rajendran United States
David I. Heiman United States
R. Quadt relative to J W van Lent Netherlands J W van Lent's profile →
Citations per field
00.5×8.5×
J W van Lent · 1×
Citations per year

Countries citing papers authored by R. Quadt

Since Specialization
Citations

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

Fields of papers citing papers by R. Quadt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1993140
2 199582
3 199076
4 199171
5 199268
6 199556
7 198828
8 198827
9 198525
10 198622
11 199119
12 198918
13 198714
14 19859
15 19946
16 19916

About R. Quadt

R. Quadt is a scholar working on Plant Science, Ecology, Hematology, Endocrinology and Insect Science, having authored 16 papers that have together received 667 indexed citations. Recurring topics across this work include Plant Virus Research Studies (11 papers), Plant and Fungal Interactions Research (5 papers), Bacteriophages and microbial interactions (5 papers), Hemophilia Treatment and Research (4 papers), Plant Disease Resistance and Genetics (3 papers), Blood groups and transfusion (2 papers), Complement system in diseases (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Endocrinology (217 citations), Plant Science (502 citations), Hematology (93 citations), Biotechnology (63 citations) and Insect Science (80 citations). R. Quadt has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Paul Ahlquist, E.M.J. Jaspars, C. Cheng Kao, Karen Browning, Michael Janda, Masayuki Ishikawa, E Briët, Thomas L. German, Tae‐Jin Choi and Scott Adkins. Their work appears in journals such as Virology, FEBS Letters, Thrombosis and Haemostasis, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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