Udo Conrad

5.1k total citations
86 papers, 3.6k citations indexed

About

Udo Conrad is a scholar working on Molecular Biology, Biotechnology and Plant Science. According to data from OpenAlex, Udo Conrad has authored 86 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 56 papers in Biotechnology and 34 papers in Plant Science. Recurrent topics in Udo Conrad's work include Transgenic Plants and Applications (56 papers), Plant tissue culture and regeneration (27 papers) and Toxin Mechanisms and Immunotoxins (20 papers). Udo Conrad is often cited by papers focused on Transgenic Plants and Applications (56 papers), Plant tissue culture and regeneration (27 papers) and Toxin Mechanisms and Immunotoxins (20 papers). Udo Conrad collaborates with scholars based in Germany, Vietnam and Austria. Udo Conrad's co-authors include Ulrike Fiedler, Jürgen Scheller, Doreen M. Floß, Olga Artsaenko, Karl‐Heinz Gührs, Frank Große, Stefan Rose‐John, Lothar Altschmied, Renate Manteuffel and Hans‐Peter Mock and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Udo Conrad

85 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Udo Conrad Germany 34 2.5k 1.8k 1.2k 701 605 86 3.6k
Ulrich Commandeur Germany 33 1.4k 0.5× 1.2k 0.7× 1.4k 1.1× 245 0.3× 238 0.4× 93 3.0k
Rima Menassa Canada 27 1.4k 0.5× 1.0k 0.6× 494 0.4× 399 0.6× 136 0.2× 69 1.9k
Romy Kandzia Spain 9 2.9k 1.1× 1.1k 0.6× 932 0.8× 285 0.4× 49 0.1× 11 3.5k
Montarop Yamabhai Thailand 27 1.8k 0.7× 621 0.4× 301 0.2× 130 0.2× 231 0.4× 88 2.8k
C. Roger MacKenzie Canada 36 2.2k 0.9× 839 0.5× 402 0.3× 521 0.7× 165 0.3× 93 3.5k
Reingard Grabherr Austria 36 2.1k 0.8× 605 0.3× 376 0.3× 250 0.4× 51 0.1× 133 3.2k
William F. Swain United States 25 1.5k 0.6× 617 0.4× 672 0.5× 516 0.7× 79 0.1× 35 2.6k
Constantin E. Vorgias Germany 22 1.8k 0.7× 623 0.4× 567 0.5× 189 0.3× 135 0.2× 39 2.4k
Rath Pichyangkura Thailand 28 1.0k 0.4× 538 0.3× 787 0.6× 588 0.8× 514 0.8× 96 3.0k
Masao Motoki Japan 41 1.1k 0.4× 754 0.4× 400 0.3× 111 0.2× 660 1.1× 90 4.8k

Countries citing papers authored by Udo Conrad

Since Specialization
Citations

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

Fields of papers citing papers by Udo Conrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Udo Conrad

This figure shows the co-authorship network connecting the top 25 collaborators of Udo Conrad. A scholar is included among the top collaborators of Udo Conrad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Udo Conrad. Udo Conrad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Demidov, Dmitri, Inna Lermontová, Jörg Fuchs, et al.. (2022). Haploid induction by nanobody-targeted ubiquitin-proteasome-based degradation of EYFP-tagged CENH3 in Arabidopsis thaliana. Journal of Experimental Botany. 73(22). 7243–7254. 10 indexed citations
2.
Pham, Ngoc Bich, Chu Hoàng Hà, Elsayed M. Abdelwhab, et al.. (2020). Immunization with Plant-Derived Multimeric H5 Hemagglutinins Protect Chicken against Highly Pathogenic Avian Influenza Virus H5N1. Vaccines. 8(4). 593–593. 22 indexed citations
3.
Giang, Nguyễn Thu, et al.. (2020). Plant-Derived Trimeric CO-26K-Equivalent Epitope Induced Neutralizing Antibodies Against Porcine Epidemic Diarrhea Virus. Frontiers in Immunology. 11. 2152–2152. 16 indexed citations
4.
Le, Thanh Hoa, et al.. (2019). A Plant-Based Artificial Haemagglutinin (A/H5N1) Strongly Induced Neutralizing Immune Responses in Mice. Applied Sciences. 9(21). 4605–4605. 4 indexed citations
5.
Conrad, Udo, et al.. (2018). Nanobody-Directed Specific Degradation of Proteins by the 26S-Proteasome in Plants. Frontiers in Plant Science. 9. 130–130. 33 indexed citations
6.
Hà, Chu Hoàng, et al.. (2017). Neutralizing immune responses induced by oligomeric H5N1-hemagglutinins from plants. Veterinary Research. 48(1). 53–53. 15 indexed citations
7.
Sandmann, Michael, Paul B. Talbert, Dmitri Demidov, et al.. (2017). Targeting of Arabidopsis KNL2 to Centromeres Depends on the Conserved CENPC-k Motif in Its C Terminus. The Plant Cell. 29(1). 144–155. 46 indexed citations
8.
Floß, Doreen M., Frank Rabenstein, Jutta Veits, et al.. (2013). ELPylated haemagglutinins produced in tobacco plants induce potentially neutralizing antibodies against H5N1 viruses in mice. Plant Biotechnology Journal. 11(5). 582–593. 41 indexed citations
9.
Junker, Astrid, Twan Rutten, Jens Keilwagen, et al.. (2012). Elongation‐related functions of LEAFY COTYLEDON1 during the development of Arabidopsis thaliana. The Plant Journal. 71(3). 427–442. 114 indexed citations
10.
Seifert, Michael, Jens Keilwagen, Ivo Große, et al.. (2012). Toward the identification and regulation of the Arabidopsis thaliana ABI3 regulon. Nucleic Acids Research. 40(17). 8240–8254. 141 indexed citations
11.
Floß, Doreen M., Galliano Zanello, Marie Diogon, et al.. (2010). Expression and Immunogenicity of the Mycobacterial Ag85B/ESAT-6 Antigens Produced in Transgenic Plants by Elastin-Like Peptide Fusion Strategy. SHILAP Revista de lepidopterología. 2010. 1–14. 53 indexed citations
12.
Floß, Doreen M., et al.. (2009). Elastin-like polypeptides revolutionize recombinant protein expression and their biomedical application. Trends in biotechnology. 28(1). 37–45. 153 indexed citations
13.
Hoopen, Petra ten, A. Hunger, Axel H. E. Müller, et al.. (2007). Immunomodulation of jasmonate to manipulate the wound response. Journal of Experimental Botany. 58(10). 2525–2535. 9 indexed citations
14.
Schubert, Jörg, et al.. (2005). Bacterial Expression and Characterization of a Single‐Chain Variable Fragment Antibody Specific to Several Replicases of Plant (+)RNA Viruses. Journal of Phytopathology. 153(11-12). 633–639. 3 indexed citations
15.
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17.
Saalbach, Isolde, Martin Giersberg, & Udo Conrad. (2001). High-level expression of a single-chain Fv fragment (scFv) antibody in transgenic pea seeds. Journal of Plant Physiology. 158(4). 529–533. 26 indexed citations
18.
Wobus, Ulrich, Helmut Bäumlein, Udo Conrad, Klaus Müntz, & Hans Weber. (2000). Seeds of change. Trends in Plant Science. 5(12). 512–513. 1 indexed citations
19.
Artsaenko, Olga, et al.. (1998). Abscisic acid is not necessarily required for the induction of patchy stomatal closure. Journal of Experimental Botany. 49(320). 611–616. 5 indexed citations
20.
Fiedler, Ulrike & Udo Conrad. (1995). High-Level Production and Long-Term Storage of Engineered Antibodies in Transgenic Tobacco Seeds. Bio/Technology. 13(10). 1090–1093. 118 indexed citations

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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