J. Schmitt

594 total citations
10 papers, 517 citations indexed

About

J. Schmitt is a scholar working on Molecular Biology, Epidemiology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, J. Schmitt has authored 10 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in J. Schmitt's work include Herpesvirus Infections and Treatments (3 papers), Ubiquitin and proteasome pathways (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). J. Schmitt is often cited by papers focused on Herpesvirus Infections and Treatments (3 papers), Ubiquitin and proteasome pathways (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). J. Schmitt collaborates with scholars based in Germany, United Kingdom and Burundi. J. Schmitt's co-authors include Hendrik G. Stunnenberg, Richard C. Frank, Patrick Charnay, Christine Vesque, Patrick Lemaire, Roland Schmid, Stefan Lange, Rolf D. Schmid, Günther M. Keil and NR Lemoine and has published in prestigious journals such as Molecular and Cellular Biology, Journal of Virology and Applied Microbiology and Biotechnology.

In The Last Decade

J. Schmitt

10 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Schmitt Germany 9 337 117 73 70 61 10 517
David Enshell‐Seijffers Israel 12 388 1.2× 43 0.4× 41 0.6× 54 0.8× 21 0.3× 13 878
Hilary Chute United States 11 250 0.7× 165 1.4× 46 0.6× 13 0.2× 48 0.8× 12 596
Sharon Wilton Canada 11 487 1.4× 168 1.4× 30 0.4× 84 1.2× 115 1.9× 11 698
Sharmina Miller-Randolph United States 10 542 1.6× 131 1.1× 61 0.8× 24 0.3× 35 0.6× 10 617
Prince Jacob India 4 394 1.2× 190 1.6× 34 0.5× 12 0.2× 48 0.8× 13 558
Jacqueline Kirchner United States 9 376 1.1× 61 0.5× 17 0.2× 20 0.3× 25 0.4× 11 571
Hadriano M. Lacerda Spain 13 232 0.7× 74 0.6× 45 0.6× 16 0.2× 35 0.6× 16 463
Matthew Mendel United States 8 609 1.8× 169 1.4× 26 0.4× 12 0.2× 27 0.4× 13 684
Catarina Cunha-Santos Portugal 9 272 0.8× 72 0.6× 51 0.7× 12 0.2× 12 0.2× 13 390

Countries citing papers authored by J. Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by J. Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Schmitt

This figure shows the co-authorship network connecting the top 25 collaborators of J. Schmitt. A scholar is included among the top collaborators of J. Schmitt 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 J. Schmitt. J. Schmitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Schmitt, J., et al.. (2004). DNA isolation from soil samples for cloning in different hosts. Applied Microbiology and Biotechnology. 64(5). 665–670. 59 indexed citations
2.
Oelschlaeger, Peter, et al.. (2003). Identification of factors impeding the production of a single-chain antibody fragment in Escherichia coli by comparing in vivo and in vitro expression. Applied Microbiology and Biotechnology. 61(2). 123–132. 18 indexed citations
3.
Lange, Stefan, J. Schmitt, & Rolf D. Schmid. (2001). High-yield expression of the recombinant, atrazine-specific Fab fragment K411B by the methylotrophic yeast Pichia pastoris. Journal of Immunological Methods. 255(1-2). 103–114. 41 indexed citations
4.
Schmitt, J., Ulla Dennehy, Florea Lupu, et al.. (1999). Tissue-selective expression of dominant-negative proteins for the regulation of vascular smooth muscle cell proliferation. Gene Therapy. 6(6). 1184–1191. 8 indexed citations
5.
Schmitt, J., et al.. (1999). Design of a muscle cell-specific expression vector utilising human vascular smooth muscle α-actin regulatory elements. Gene Therapy. 6(4). 616–628. 20 indexed citations
6.
Schmitt, J. & Günther M. Keil. (1998). Characterization of the bovine herpesvirus 1 UL8 gene and gene products.. Journal of General Virology. 79(1). 133–141. 1 indexed citations
7.
Lupu, Florea, et al.. (1997). High efficiency reporter gene transfection of vascular tissue in vitro and in vivo using a cationic lipid–DNA complex. Gene Therapy. 4(2). 162–171. 53 indexed citations
8.
Schmitt, J. & Günther M. Keil. (1996). Identification and characterization of the bovine herpesvirus 1 UL7 gene and gene product which are not essential for virus replication in cell culture. Journal of Virology. 70(2). 1091–1099. 16 indexed citations
9.
Lemaire, Patrick, Christine Vesque, J. Schmitt, et al.. (1990). The serum-inducible mouse gene Krox-24 encodes a sequence-specific transcriptional activator.. Molecular and Cellular Biology. 10(7). 3456–3467. 228 indexed citations
10.
Schmitt, J. & Hendrik G. Stunnenberg. (1988). Sequence and transcriptional analysis of the vaccinia virus HindIII I fragment. Journal of Virology. 62(6). 1889–1897. 73 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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