Immanuel Leifer

547 total citations
18 papers, 467 citations indexed

About

Immanuel Leifer is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Immanuel Leifer has authored 18 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Agronomy and Crop Science, 13 papers in Cardiology and Cardiovascular Medicine and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Immanuel Leifer's work include Animal Disease Management and Epidemiology (15 papers), Viral Infections and Immunology Research (13 papers) and Vector-Borne Animal Diseases (11 papers). Immanuel Leifer is often cited by papers focused on Animal Disease Management and Epidemiology (15 papers), Viral Infections and Immunology Research (13 papers) and Vector-Borne Animal Diseases (11 papers). Immanuel Leifer collaborates with scholars based in Germany, Denmark and Belgium. Immanuel Leifer's co-authors include Sandra Blome, Martin Beer, Nicolas Ruggli, Klaus Depner, Ilona Reimann, Bernd Hoffmann, Elke Lange, Thomas Bruun Rasmussen, Dirk W. Höper and Christoph Staubach and has published in prestigious journals such as Journal of Virology, Virology and Journal of General Virology.

In The Last Decade

Immanuel Leifer

17 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Immanuel Leifer Germany 15 396 292 194 140 120 18 467
A. Lipowski Poland 7 312 0.8× 188 0.6× 164 0.8× 111 0.8× 86 0.7× 20 382
A. D. Shannon Australia 7 560 1.4× 316 1.1× 365 1.9× 106 0.8× 232 1.9× 7 605
Andreas Gallei Germany 9 327 0.8× 286 1.0× 222 1.1× 148 1.1× 180 1.5× 12 536
Begoña Valdazo‐González United Kingdom 17 579 1.5× 516 1.8× 485 2.5× 72 0.5× 187 1.6× 21 742
Zongji Lu China 10 216 0.5× 165 0.6× 122 0.6× 114 0.8× 142 1.2× 16 361
Christian Schelp Germany 7 314 0.8× 156 0.5× 222 1.1× 81 0.6× 165 1.4× 11 406
J Dahle Germany 9 298 0.8× 151 0.5× 163 0.8× 114 0.8× 115 1.0× 20 345
Caroline F. Wright United Kingdom 13 273 0.7× 258 0.9× 193 1.0× 47 0.3× 96 0.8× 18 466
Leonie F. Forth Germany 10 276 0.7× 147 0.5× 218 1.1× 42 0.3× 122 1.0× 15 362
José Barrera United States 11 251 0.6× 209 0.7× 178 0.9× 43 0.3× 85 0.7× 27 433

Countries citing papers authored by Immanuel Leifer

Since Specialization
Citations

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

Fields of papers citing papers by Immanuel Leifer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Immanuel Leifer

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

All Works

18 of 18 papers shown
1.
Leifer, Immanuel, et al.. (2025). Engineered MS2 Virus Capsids for Cellular Display of Peptide Antigens. ACS Chemical Biology. 20(12). 2943–2954.
2.
Leifer, Immanuel, Nicolas Ruggli, & Sandra Blome. (2013). Approaches to define the viral genetic basis of classical swine fever virus virulence. Virology. 438(2). 51–55. 43 indexed citations
3.
Töpfer, Armin, Dirk W. Höper, Sandra Blome, et al.. (2013). Sequencing approach to analyze the role of quasispecies for classical swine fever. Virology. 438(1). 14–19. 29 indexed citations
4.
Blome, Sandra, Andrea Aebischer, Elke Lange, et al.. (2012). Comparative evaluation of live marker vaccine candidates “CP7_E2alf” and “flc11” along with C-strain “Riems” after oral vaccination. Veterinary Microbiology. 158(1-2). 42–59. 35 indexed citations
5.
Leifer, Immanuel, Sandra Blome, Ulrike Blohm, et al.. (2012). Characterization of C-strain “Riems” TAV-epitope escape variants obtained through selective antibody pressure in cell culture. Veterinary Research. 43(1). 33–33. 15 indexed citations
6.
Leifer, Immanuel, et al.. (2011). Clustering of classical swine fever virus isolates by codon pair bias. BMC Research Notes. 4(1). 521–521. 19 indexed citations
7.
Leifer, Immanuel, et al.. (2011). Propagation of classical swine fever virus in vitro circumventing heparan sulfate-adaptation. Journal of Virological Methods. 176(1-2). 85–95. 14 indexed citations
8.
Blome, Sandra, Claudia Gabriel, Christoph Staubach, et al.. (2011). Genetic differentiation of infected from vaccinated animals after implementation of an emergency vaccination strategy against classical swine fever in wild boar. Veterinary Microbiology. 153(3-4). 373–376. 18 indexed citations
9.
Hoffmann, Bernd, Sandra Blome, Paolo Bonilauri, et al.. (2011). Classical swine fever virus detection. Journal of Veterinary Diagnostic Investigation. 23(5). 999–1004. 12 indexed citations
10.
Leifer, Immanuel, Sandra Blome, Martin Beer, & Bernd Hoffmann. (2010). Development of a highly sensitive real-time RT-PCR protocol for the detection of Classical swine fever virus independent of the 5′ untranslated region. Journal of Virological Methods. 171(1). 314–317. 14 indexed citations
11.
Leifer, Immanuel, Bernd Hoffmann, Dirk W. Höper, et al.. (2010). Molecular epidemiology of current classical swine fever virus isolates of wild boar in Germany. Journal of General Virology. 91(11). 2687–2697. 72 indexed citations
12.
Leifer, Immanuel, Helen Everett, Bernd Hoffmann, et al.. (2010). Escape of classical swine fever C-strain vaccine virus from detection by C-strain specific real-time RT-PCR caused by a point mutation in the primer-binding site. Journal of Virological Methods. 166(1-2). 98–100. 17 indexed citations
13.
Rasmussen, Thomas Bruun, Ilona Reimann, Åse Uttenthal, et al.. (2009). Generation of recombinant pestiviruses using a full-genome amplification strategy. Veterinary Microbiology. 142(1-2). 13–17. 42 indexed citations
14.
15.
Reimann, Ilona, Klaus Depner, Katrin Utke, et al.. (2009). Characterization of a new chimeric marker vaccine candidate with a mutated antigenic E2-epitope. Veterinary Microbiology. 142(1-2). 45–50. 33 indexed citations
16.
Leifer, Immanuel, Klaus Depner, Sandra Blome, et al.. (2009). Differentiation of C-strain “Riems” or CP7_E2alf vaccinated animals from animals infected by classical swine fever virus field strains using real-time RT-PCR. Journal of Virological Methods. 158(1-2). 114–122. 39 indexed citations
17.
Nassal, Michael, et al.. (2007). A Structural Model for Duck Hepatitis B Virus Core Protein Derived by Extensive Mutagenesis. Journal of Virology. 81(23). 13218–13229. 18 indexed citations
18.
Leifer, Immanuel, et al.. (2007). Monoclonal Antibodies Providing Topological Information on the Duck Hepatitis B Virus Core Protein and Avihepadnaviral Nucleocapsid Structure. Journal of Virology. 81(23). 13230–13234. 8 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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