R J Schmidt

2.7k citations
14 papers · 2.2k · h-index 14

Impact in

    • Plant Molecular Biology Research
    • Plant nutrient uptake and metabolism
    • Plant Reproductive Biology
    • Plant tissue culture and regeneration
    • Photosynthetic Processes and Mechanisms
    • Plant Gene Expression Analysis

Papers in

    • Insect Resistance and Genetics 6
    • Plant Reproductive Biology 4
    • Plant Molecular Biology Research 4
    • Plant Genetic and Mutation Studies 3
    • Plant-Microbe Interactions and Immunity 2
    • Genetic and Environmental Crop Studies 2

R J Schmidt

14 papers receiving 2.1k citations

Peers

R J Schmidt
Comparison fields: 5 of 78
  • Plant Science 1.6k
  • Molecular Biology 1.6k
  • Biotechnology 153
  • Genetics 384
  • Horticulture 10
Replace Lin Guo with:
Lin Guo China
Martin Regenass Switzerland
Chiharu Nakamura Japan
Yu Zhong China
Hong Zhu China
Yiwen Deng China
Sudhansu Dash United States
Weiwei Qi China
Ursula Halfter United States
R J Schmidt relative to Lin Guo China Lin Guo's profile →
Citations per field
00.5×3.3×
Lin Guo · 1×
Citations per year

Countries citing papers authored by R J Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by R J Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1990329
2 1981323
3 1995320
4 1992278
5 1992239
6 1993187
7 1993103
8 199396
9 199778
10 199273
11 199167
12 199148
13 199348
14 199914

About R J Schmidt

R J Schmidt is a scholar working on Molecular Biology, Plant Science, Genetics, Surgery and Insect Science, having authored 14 papers that have together received 2.2k indexed citations. Recurring topics across this work include Insect Resistance and Genetics (6 papers), Plant Molecular Biology Research (4 papers), Plant Reproductive Biology (4 papers), Plant Genetic and Mutation Studies (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic and Environmental Crop Studies (2 papers) and Entomopathogenic Microorganisms in Pest Control (2 papers). The work is most often cited by research in Plant Science (1.6k citations), Molecular Biology (1.6k citations), Biotechnology (153 citations), Genetics (384 citations) and Horticulture (10 citations). R J Schmidt has collaborated with scholars based in United States and Spain. Frequent co-authors include Milo J. Aukerman, Martin F. Yanofsky, B Burr, F A Burr, Marguerite J. Varagona, Natasha V. Raikhel, Mariena Ketudat‐Cairns, Michael D. Purugganan, Steven D. Rounsley and Gisela Hoschek. Their work appears in journals such as The Plant Cell, Proceedings of the National Academy of Sciences, Genes & Development, Journal of Pharmacology and Experimental Therapeutics and Genetics.

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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